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<title>AI SEO Guides and Tips | Optimize for AI-Driven Search</title>
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<title>AI SEO Guides and Tips | Optimize for AI-Driven Search</title>
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<title>AI Insights: Fix AI Crawler Issues Before They Hurt Your Bottom Line</title>
<link>https://prerender.io/blog/ai-insights/</link>
<dc:creator><![CDATA[Prerender]]></dc:creator>
<pubDate>Tue, 28 Jul 2026 09:12:03 +0000</pubDate>
<category><![CDATA[AI SEO]]></category>
<category><![CDATA[News and Updates]]></category>
<category><![CDATA[AI crawlers]]></category>
<category><![CDATA[ai insights]]></category>
<category><![CDATA[product updates]]></category>
<guid isPermaLink="false">https://prerender.io/?p=12865</guid>
<description><![CDATA[introducing AI Insights: prevent AI visibility issues before they hurt your bottom line.]]></description>
<content:encoded><![CDATA[
<p class="wp-block-paragraph">Showing up in AI answers starts with one overlooked question: can crawlers access your pages in the first place? <strong>If they can’t, those pages are invisible to your customers in AI search results, without you even knowing it.</strong></p>
<p class="wp-block-paragraph">Most tools measure AI visibility at the content quality or citation layer, such as whether you got mentioned in an answer. But none of that matters if crawlers can’t access your pages first. Prerender.io’s new AI Insights feature addresses this at the source. </p>
<p class="wp-block-paragraph">AI Insights works at the crawl layer, so you can catch problems before they escalate and impact your business. Read on to learn more.</p>
<figure class="wp-block-image size-large"><img fetchpriority="high" decoding="async" width="1024" height="426" src="https://prerender.io/wp-content/uploads/with-without-prerender-ai-answers-1024x426.png" alt="with and without prerender.io - ai search results " class="wp-image-13036" srcset="https://prerender.io/wp-content/uploads/with-without-prerender-ai-answers-1024x426.png 1024w, https://prerender.io/wp-content/uploads/with-without-prerender-ai-answers-300x125.png 300w, https://prerender.io/wp-content/uploads/with-without-prerender-ai-answers-768x320.png 768w, https://prerender.io/wp-content/uploads/with-without-prerender-ai-answers-1536x640.png 1536w, https://prerender.io/wp-content/uploads/with-without-prerender-ai-answers.png 1988w" sizes="(max-width: 1024px) 100vw, 1024px" /></figure>
<h2 class="wp-block-heading">The Problem</h2>
<p class="wp-block-paragraph">If AI crawlers can’t reach your pages, none of your content or SEO efforts have an impact. It doesn’t matter how strong your content is, how well it’s written, or how relevant it is to the question being asked. <strong>If a page is unreachable to AI crawlers, it’s invisible to customers in AI search.</strong></p>
<p class="wp-block-paragraph">Sometimes, this isn’t actually a content problem. It’s an infrastructure one. And infrastructure problems are harder to pin down. That’s because a page can look perfectly fine to you and Google, yet be completely invisible to AI crawlers like GPTBot or Claudebot.</p>
<p class="wp-block-paragraph">It’s also becoming increasingly difficult to monitor this, largely because infrastructure issues are tough to catch early. And as a result, most infrastructure issues turn into <em>real</em> problems down the line, like lost citations or lack of brand mentions in AI search results. <strong>In the end, most SEO and growth leaders only catch it when traffic, signups, or sales dip and there isn’t a clear reason why.</strong></p>
<h2 class="wp-block-heading">Why This Happens</h2>
<p class="wp-block-paragraph">The AI crawler landscape is changing frequently, and most sites weren’t built with these crawlers in mind. <a href="https://prerender.io/blog/robots-txt-and-seo/">Robots.txt</a> (the file that tells crawlers which parts of your site they’re allowed to access) was written years ago with Googlebot in mind. It’s rarely revisited as <a href="https://prerender.io/blog/how-to-optimize-your-website-for-ai-crawlers/">new AI crawlers</a> like GPTBot, ClaudeBot, and PerplexityBot continue to show up.</p>
<p class="wp-block-paragraph">Infrastructure default settings compound the problem. A WAF (Web Application Firewall, the layer that filters incoming traffic for security threats) will sometimes block unfamiliar user agents by default, treating a new AI crawler the same way it’d treat a suspicious bot. <a href="https://prerender.io/blog/cdn-vs-prerender-enterprise-seo/">CDN</a> configurations can do the same thing. Some now block major AI crawlers out of the box, even before a request ever reaches your server or your robots.txt. None of these blocks are intentional on your part. They’re just what happens when infrastructure built for yesterday’s crawlers meets today’s, and platform defaults you never explicitly chose.</p>
<p class="wp-block-paragraph">It’s also worth knowing that AI crawlers aren’t one-size-fits-all. The same provider can run separate crawlers for training, real-time retrieval, and search indexing, and blocking the wrong one can do more harm than good. <strong>This removes you from AI answers entirely, rather than simply opting out of having your content used for training.</strong></p>
<h2 class="wp-block-heading">How to Fix AI Visibility Issues at the Source</h2>
<p class="wp-block-paragraph">That’s the gap AI Insights is built to close.</p>
<p class="wp-block-paragraph">It works at the crawl layer, checking whether AI crawlers like GPTBot, ClaudeBot, PerplexityBot, and Google Extended can actually reach your pages before an access problem turns into something bigger. AI Insights catches the cause at the source and tells you what’s blocking access and how you can fix it.</p>
<p class="wp-block-paragraph"><strong>Here’s what you get:</strong></p>
<ul class="wp-block-list">
<li>A daily health status showing if major AI crawlers can access your site</li>
<li>Warnings when certain crawlers can’t access a page</li>
<li>A prioritized, page-level breakdown of the pages that are hardest hit, so you know what to tackle first</li>
<li>Clear, step-by-step instructions on where access is blocked</li>
<li>How you can fix these problems</li>
<li>An exportable report you can share with your development team to fix it</li>
<li>Bi-weekly email status updates to prevent issues early</li>
</ul>
<p class="wp-block-paragraph">AI Insights is already included on current Prerender.io plans, with no extra setup or cost. Here’s a <a href="https://youtu.be/Gzq838gSg1s">short video demo</a> walking you through how it works.</p>
<figure class="wp-block-embed is-type-video is-provider-youtube wp-block-embed-youtube wp-embed-aspect-16-9 wp-has-aspect-ratio"><div class="wp-block-embed__wrapper">
<iframe title="AI Insights: Track, Monitor, and Fix Your AI Crawler Visibility Issues" width="640" height="360" src="https://www.youtube.com/embed/Gzq838gSg1s?feature=oembed" frameborder="0" allow="accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share" referrerpolicy="strict-origin-when-cross-origin" allowfullscreen></iframe>
</div></figure>
<h2 class="wp-block-heading">5 Benefits of Prerender.io’s AI Insights Feature</h2>
<p class="wp-block-paragraph">The practical outcome is time saved and problems caught earlier. Instead of noticing a traffic drop weeks after the fact and reverse-engineering what changed, you solve the problem at the source. </p>
<h3 class="wp-block-heading">1. You stop firefighting and start preventing. </h3>
<p class="wp-block-paragraph">Most teams only find out about a crawler access issue after it’s already cost them visibility, such as a dip in signups that no one can explain. AI Insights turns that into a daily check, so problems get caught while they’re still small and easy to fix.</p>
<figure class="wp-block-image size-large"><img decoding="async" width="1024" height="389" src="https://prerender.io/wp-content/uploads/pages-to-review-1024x389.png" alt="Pages to Review, a section of Prerender.io's new AI Insights feature in the Prerender.io dashboard." class="wp-image-13033" srcset="https://prerender.io/wp-content/uploads/pages-to-review-1024x389.png 1024w, https://prerender.io/wp-content/uploads/pages-to-review-300x114.png 300w, https://prerender.io/wp-content/uploads/pages-to-review-768x292.png 768w, https://prerender.io/wp-content/uploads/pages-to-review-1536x583.png 1536w, https://prerender.io/wp-content/uploads/pages-to-review.png 1670w" sizes="(max-width: 1024px) 100vw, 1024px" /></figure>
<h3 class="wp-block-heading">2. Instead of guessing, you know exactly where to focus your efforts.</h3>
<p class="wp-block-paragraph">Not every page carries the same weight. AI Insights prioritizes pages that crawlers actually want most, such as high-traffic blogs or revenue-driving product pages. That way, your team spends its time on the fixes that move the needle, rather than auditing your whole site page by page.</p>
<h3 class="wp-block-heading">3. You get a paper trail your dev team can act on. </h3>
<p class="wp-block-paragraph">When something is blocking access, you’re not stuck describing a vague symptom. You can export the exact diagnosis report and hand it straight to engineering, which cuts down the back-and-forth that usually stalls infrastructure fixes.</p>
<figure class="wp-block-image size-full"><img decoding="async" width="808" height="324" src="https://prerender.io/wp-content/uploads/diagnostics-ai-crawlers-1.jpg" alt="" class="wp-image-12765" srcset="https://prerender.io/wp-content/uploads/diagnostics-ai-crawlers-1.jpg 808w, https://prerender.io/wp-content/uploads/diagnostics-ai-crawlers-1-300x120.jpg 300w, https://prerender.io/wp-content/uploads/diagnostics-ai-crawlers-1-768x308.jpg 768w" sizes="(max-width: 808px) 100vw, 808px" /></figure>
<h3 class="wp-block-heading">4. It scales with the complexity of your setup. </h3>
<p class="wp-block-paragraph">AI Insights holds whether you’re managing a single site or a portfolio of twenty. The more properties, CDNs, and firewall rules you’re running, the more places something can break without you knowing it. The more valuable it is to catch that break before it costs you visibility, rather than after.</p>
<h3 class="wp-block-heading">5. You protect a channel that’s only going to matter more. </h3>
<p class="wp-block-paragraph">As more of your traffic and signups originate from AI answers instead of <a href="https://prerender.io/blog/traditional-search-vs-ai-powered-search-explained/">traditional search results</a>, crawler access starts being a revenue-protection concern. Catching these issues early means the investment you’re already making in content and SEO doesn’t go to waste on a technicality.</p>
<figure class="wp-block-image size-large"><img loading="lazy" decoding="async" width="1024" height="479" src="https://prerender.io/wp-content/uploads/ai-crawler-activity-1024x479.png" alt="AI crawler activity chart in Prerender.io's new AI Insights feature " class="wp-image-13032" srcset="https://prerender.io/wp-content/uploads/ai-crawler-activity-1024x479.png 1024w, https://prerender.io/wp-content/uploads/ai-crawler-activity-300x140.png 300w, https://prerender.io/wp-content/uploads/ai-crawler-activity-768x360.png 768w, https://prerender.io/wp-content/uploads/ai-crawler-activity-1536x719.png 1536w, https://prerender.io/wp-content/uploads/ai-crawler-activity.png 1666w" sizes="(max-width: 1024px) 100vw, 1024px" /></figure>
<h2 class="wp-block-heading">How to Get Started with AI Insights</h2>
<p class="wp-block-paragraph">Already a Prerender.io user? AI Insights is included as standard if you’re on our <a href="https://prerender.io/pricing/">current pricing</a>. If you’re on an older plan and don’t see it yet, reach out and we’ll get you moved over.</p>
<ol class="wp-block-list">
<li>Log in to your dashboard, or <a href="https://prerender.io/pricing/">create your account</a></li>
<li>Open the AI Insights tab on the left-hand side</li>
<li>Check your daily health status across all of your domains</li>
<li>Run a diagnostics report on anything flagged</li>
<li>Follow the step-by-step fixes</li>
</ol>
<p class="wp-block-paragraph">Not a Prerender.io customer yet? <a href="https://prerender.io/pricing/">Sign up and get instant access</a>. For more details about the feature, check out our<a href="https://docs.prerender.io/docs/ai-insights"> knowledge base</a>.</p>
<h2 class="wp-block-heading">Fix Your AI Crawler Visibility</h2>
<p class="wp-block-paragraph">Check your dashboard today to see exactly where your site stands, fix any blocks, and prevent AI visibility problems before they escalate.</p>
<div class="wp-block-buttons is-content-justification-center is-layout-flex wp-container-core-buttons-is-layout-fe48e5de wp-block-buttons-is-layout-flex">
<div class="wp-block-button"><a class="wp-block-button__link has-white-color has-text-color has-background has-link-color has-text-align-center wp-element-button" href="https://auth.prerender.io/auth/realms/prerender/protocol/openid-connect/registrations?client_id=prerender-frontend&response_type=code&scope=openid%20email&redirect_uri=https://dashboard.prerender.io/integration-wizard&_gl=1*1m06q6w*_gcl_au*MTI3NzU5MTg2OC4xNzgwMzA3NjA1*_ga*MzYwMTA2NTM1LjE3NTIyMzQyMTk.*_ga_5C99FX76HR*czE3ODUyMjgxNjEkbzMyNyRnMSR0MTc4NTIyOTA2OSRqNjAkbDAkaDE1MDMyMzg5MzA." style="border-top-left-radius:0px;border-top-right-radius:0px;border-bottom-left-radius:0px;border-bottom-right-radius:0px;background-color:#1f8211">Explore AI Insights Today</a></div>
</div>
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<item>
<title>Agentic AI Ecommerce: Why AI Agents Can’t Buy From Your Site</title>
<link>https://prerender.io/blog/agentic-ai-ecommerce-failures/</link>
<dc:creator><![CDATA[Prerender]]></dc:creator>
<pubDate>Tue, 28 Jul 2026 07:36:48 +0000</pubDate>
<category><![CDATA[AI SEO]]></category>
<category><![CDATA[agentic AI]]></category>
<category><![CDATA[ecommerce]]></category>
<guid isPermaLink="false">https://prerender.io/?p=12991</guid>
<description><![CDATA[Agentic AI ecommerce is unlocking sales your JS store can't serve. Learn why analytics misses it, and how prerendering fixes it.]]></description>
<content:encoded><![CDATA[
<p class="wp-block-paragraph">ChatGPT Operator, Google’s Buy for Me, and procurement assistants such as SAP Joule and Coupa already evaluate products, compare vendors, and then buy products for users. This is agentic AI ecommerce: a new channel in which agents shop on behalf of buyers, deciding in milliseconds whether your store is one they can buy from.</p>
<p class="wp-block-paragraph">If your site returns only a JS shell instead of usable HTML when an agentic commerce agent fetches a page, it’ll move on to a competitor that works. This is different from standard AI visibility: getting cited in an AI answer is a brand or SEO problem, but getting skipped by an AI agent is a transaction loss that won’t show up in your analytics.</p>
<p class="wp-block-paragraph">This piece explains where JS ecommerce catalogs lose agentic AI transactions, why that lost revenue stays invisible in standard analytics, and how prerendering solves the rendering layer without a stack migration.</p>
<h2 class="wp-block-heading">TL;DR: Why Ecommerce Sites Lose Agentic Transactions</h2>
<ol class="wp-block-list">
<li><strong>Agentic AI ecommerce agents cannot read JavaScript-dependent catalogs.</strong> They fetch the raw HTML and act on it immediately. If prices, variants, reviews, and other product data only appear after JavaScript runs, the agent sees an empty shell and moves on to a competitor it can read.</li>
<li><strong>These failures are largely invisible.</strong> GA4 and most monitoring tools depend on JavaScript, which the AI agent never executes. That means the visit leaves no client-side trace and may only appear in your server logs.</li>
<li><strong>The fix is server-readable HTML.</strong> Your product data must be present in the raw HTML before JavaScript runs, whether through server-side rendering, static generation, or prerendering.</li>
<li><strong>Prerender.io provides a faster path.</strong> Prerendering delivers agentic commerce readable HTML without requiring an SSR rebuild or framework migration, and can typically be set up in hours.</li>
</ol>
<h2 class="wp-block-heading">4 Reasons Why JavaScript Ecommerce Catalogs Fail AI Agents</h2>
<p class="wp-block-paragraph">On a JS-dependent ecommerce site, the first response to an agent’s HTTP request is near-empty: a thin HTML shell of framework bootstraps, script tags, and placeholder containers. The actual product data, such as product descriptions, pricing, or variant availability, loads only after JavaScript runs in the browser, which AI agents cannot do.</p>
<p class="wp-block-paragraph">Human shoppers never notice this gap because browsers execute the scripts instantly and render the full page experience. But an agent often gets no further than the initial response because it doesn’t execute JavaScript. This means the failure lies in the rendering layer, upstream of everything teams audit, not in your sitemap or content quality.</p>
<p class="wp-block-paragraph">Now, this is not a quirk of one or two agents. Vercel, working with MERJ, <a href="https://vercel.com/blog/the-rise-of-the-ai-crawler" type="link" id="https://vercel.com/blog/the-rise-of-the-ai-crawler" target="_blank" rel="noreferrer noopener nofollow">analyzed nearly 1.3 billion AI crawler fetches</a> and found that major non-Google AI crawlers (including GPTBot, ClaudeBot, and PerplexityBot) retrieve JavaScript files but do not execute them, leaving client-side rendered content entirely invisible. Google’s Gemini is the exception, inheriting Googlebot’s JavaScript rendering infrastructure.</p>
<p class="wp-block-paragraph">Google’s Gary Illyes made the same point recently, calling out the <a href="https://www.linkedin.com/posts/garyillyes_ai-agents-and-llms-in-general-would-have-share-7467219376010620928-1Rhf/?utm_source=share&utm_medium=member_desktop&rcm=ACoAAAO-2RgBwEUClAQnxPdeVPLvjCj1b5wSmw0" type="link" id="https://www.linkedin.com/posts/garyillyes_ai-agents-and-llms-in-general-would-have-share-7467219376010620928-1Rhf/?utm_source=share&utm_medium=member_desktop&rcm=ACoAAAO-2RgBwEUClAQnxPdeVPLvjCj1b5wSmw0" target="_blank" rel="noreferrer noopener nofollow">JS rendering problem specifically for agentic RAG systems</a>: AI agents and LLMs would have had an easier time interacting with the web if sites still relied on clean HTML and server-side rendering instead of JavaScript-heavy architectures.</p>
<p class="wp-block-paragraph">From what we’ve seen testing dynamic sites, AI agent transaction failures happen most regularly in these four patterns below, each a symptom of the same rendering-layer problem:</p>
<h3 class="wp-block-heading">Dynamic Pricing</h3>
<p class="wp-block-paragraph">If your price is populated by a <code><span style="color: #188038;">useEffect</span></code>, a GraphQL call, or any client-side fetch that fires after page loads, the initial HTML ships with an empty price slot. Without a visible price, the agent lacks one of the most important signals required for comparison and decision-making.</p>
<h3 class="wp-block-heading">Variant-Specific Pages</h3>
<p class="wp-block-paragraph">Many stores create separate URLs for each product variant (color, size, model, etc.). If those variant pages also rely on client-side JS, each variant URL may serve only a generic shell. An agent crawling a variant link sees nothing and skips the item.</p>
<h3 class="wp-block-heading">Filter and Faceted Navigation</h3>
<p class="wp-block-paragraph">When an agent builds a <a href="https://prerender.io/blog/the-good-and-bad-of-faceted-navigation-for-ecommerce-seo/" type="link" id="https://prerender.io/blog/the-good-and-bad-of-faceted-navigation-for-ecommerce-seo/">filtered category URL</a> to narrow to the right subset, and that filtering lives only in JavaScript state that never reaches the server response, the agent gets the unfiltered default or an empty grid. It cannot navigate your catalog to the thing it came for.</p>
<h3 class="wp-block-heading">Reviews and Ratings</h3>
<p class="wp-block-paragraph">Star ratings and review counts are trust signals many agents weigh alongside pricing, availability, and product specifications when comparing options. When those signals are absent from the raw HTML, they are invisible to agents evaluating your product.</p>
<figure class="wp-block-table"><table class="has-fixed-layout"><tbody><tr><td><strong>Pro tip:</strong> disable JavaScript in your Chrome DevTools > Settings, then reload your product page. If the price, variants, or reviews disappear, you can be sure that this is what agentic commerce agents also see.</td></tr></tbody></table></figure>
<div class="wp-block-image">
<figure class="aligncenter size-full"><img loading="lazy" decoding="async" width="358" height="479" src="https://prerender.io/wp-content/uploads/Example-of-what-agentic-commerce-bots-see.jpg" alt="Example of what agentic commerce bots see when JS is not rendered" class="wp-image-13003" srcset="https://prerender.io/wp-content/uploads/Example-of-what-agentic-commerce-bots-see.jpg 358w, https://prerender.io/wp-content/uploads/Example-of-what-agentic-commerce-bots-see-224x300.jpg 224w" sizes="(max-width: 358px) 100vw, 358px" /></figure>
</div>
<h2 class="wp-block-heading">Why AI Agent Transaction Failures Are Invisible in Your SEO and AI SEO Analytics</h2>
<p class="wp-block-paragraph">Agent failures don’t just cost sales; they hide the evidence. A human visitor who lands on a blank page bounces or hits a 404 error you can spot in your analytics, but an AI agent that encounters an invisible JS product page leaves no such trace.</p>
<p class="wp-block-paragraph">This is because GA4 and most monitoring tools run on JavaScript, and agents fetch raw HTML without executing JS, so they never trigger that tracking code. This simply means the request leaves no client-side trace, so your monitoring tools have nothing to catch or register.</p>
<p class="wp-block-paragraph">The result is silence: the loss appears as a flat line where agentic commerce revenue should be, not as a visible decline. That silence is expensive now that AI-referred traffic converts 42% better than non-AI traffic, per <a href="https://elogic.co/blog/chatgpt-commerce-statistics/" type="link" id="https://elogic.co/blog/chatgpt-commerce-statistics/" target="_blank" rel="noreferrer noopener nofollow">Adobe’s March 2026 data</a>—an 80-point swing from a year earlier, when it converted 38% worse.</p>
<p class="wp-block-paragraph">Server logs are the only reliable way to detect this failure. Logs capture every raw request before scripts run, including agent hits your analytics miss. Check for <code>GPTBot</code>, <code>ClaudeBot</code>, <code>PerplexityBot</code>, and <code>OAI-SearchBot</code> on your product detail pages.</p>
<p class="wp-block-paragraph">The caveat to log analysis is that agent traffic is only as visible as its user agent string. While some bots identify themselves, others mask as browsers or use proxies, so it’s best to treat your log count as a floor. The real gap is between agent requests to product URLs and agentic conversions. Every agent request with no downstream conversion means revenue going to a competitor—and from what we’ve seen, the gap is wider than most teams expect.</p>
<h2 class="wp-block-heading">What AI Agents Need From a Product Page</h2>
<p class="wp-block-paragraph">To capture these lost sales, <strong>product pages must first meet the agent’s expectations at the rendering layer, ensuring core information is present and accessible in the raw HTML before JavaScript runs</strong>, through server-side rendering, static site generation, or <a href="https://prerender.io/blog/other-rendering-options-vs-prerendering/" type="link" id="https://prerender.io/blog/other-rendering-options-vs-prerendering/">prerendering with Prerender.io</a>.</p>
<p class="wp-block-paragraph">When done right, every page in your agentic AI product catalog ships its product data in the first response. The key rendering-layer requirements for AI <a href="https://prerender.io/blog/ai-friendly-vs-ai-agent-friendly-websites/" type="link" id="https://prerender.io/blog/ai-friendly-vs-ai-agent-friendly-websites/">agent-ready ecommerce sites</a> include:</p>
<ul class="wp-block-list">
<li><strong>Complete HTML</strong>, with pricing, availability, product attributes, and breadcrumbs in the initial payload rather than populated afterward.</li>
<li><a href="https://prerender.io/blog/5-types-of-schema-markup-dynamic-websites-should-implement-including-a-tutorial/" type="link" id="https://prerender.io/blog/5-types-of-schema-markup-dynamic-websites-should-implement-including-a-tutorial/"><strong>Schema markup</strong></a> that ships in the initial response instead of being injected post-JS, so an agent reading raw HTML can parse it.</li>
<li><strong>Stable URL structure</strong>, either a distinct URL per variant or a correct parent and variant relationship, so an agent can navigate to the exact size or color it was sent to buy without ambiguity.</li>
</ul>
<p class="wp-block-paragraph">A perfectly rendered page can still be unreachable if your access rules turn the agent away. Strict <a href="https://prerender.io/blog/robots-txt-for-ecommerce-seo/" type="link" id="https://prerender.io/blog/robots-txt-for-ecommerce-seo/">robots.txt</a> written to block AI training crawlers can also block transactional agents, and filtered URLs that are noindexed to manage crawl budget can return an empty or redirected response by design.</p>
<p class="wp-block-paragraph">However, using a <a href="https://developer.chrome.com/docs/lighthouse/agentic-browsing/llms-txt" type="link" id="https://developer.chrome.com/docs/lighthouse/agentic-browsing/llms-txt" target="_blank" rel="noreferrer noopener nofollow">llms.txt</a> file can help distinguish the two; at minimum, confirm you aren’t disallowing AI user-agent strings such as GPTBot, ChatGPT-User, or OAI-SearchBot. We cover the full five-step failure sequence and the access-control setup in our <a href="https://prerender.io/blog/how-to-optimize-enterprise-site-for-agentic-ai/" type="link" id="https://prerender.io/blog/how-to-optimize-enterprise-site-for-agentic-ai/">guide to optimizing an enterprise site for agentic AI</a>.</p>
<h3 class="wp-block-heading">Why the Rendering Layer is the First Thing to Fix</h3>
<p class="wp-block-paragraph">Every other piece of agentic AI readiness assumes the agent can already read your page. Schema accuracy, entity signals, factual density, internal linking, and <a href="https://www.anthropic.com/news/model-context-protocol" type="link" id="https://www.anthropic.com/news/model-context-protocol" target="_blank" rel="noreferrer noopener nofollow">MCP integration</a> all operate on content that must first be present in the raw HTML. When the agent receives a blank shell, those optimizations have nothing to act on.</p>
<p class="wp-block-paragraph">Once your content reliably lands in the initial response, server logs should show agents successfully fetching complete product pages rather than empty HTML shells. That makes your prices, availability, variants, reviews, and product details eligible for citation, comparison, and selection, creating a measurable path from agentic AI traffic to product discovery and completed transactions.</p>
<h2 class="wp-block-heading">Prerender.io: The Reliable Rendering-Layer Solution</h2>
<p class="wp-block-paragraph">You have a few ways to close the rendering gap: an SSR rewrite or a framework migration, but both mean re-architecting your site, pulling engineering off the roadmap for months, and absorbing the risk that comes with rebuilding a working catalog. For most teams, that cost is hard to justify against a channel they’re only beginning to measure.</p>
<p class="wp-block-paragraph">Prerendering delivers the same readable HTML without requiring changes to your existing stack. For teams without the engineering runway for an SSR rewrite, Prerender.io is typically the faster, lower-cost path.</p>
<p class="wp-block-paragraph"><a href="https://prerender.io" type="link" id="https://prerender.io">Prerender.io</a> operates at the infrastructure layer, generating fully rendered HTML snapshots of JavaScript pages and serving them directly to agents and crawlers when they request a URL. As agentic AI ecommerce shifts more product discovery to autonomous shopping agents, this rendering solution ensures they receive your complete product data in the initial response, regardless of whether your site was built in <a href="https://prerender.io/framework/react/" type="link" id="https://prerender.io/framework/react/">React</a>, <a href="https://prerender.io/framework/angular/" type="link" id="https://prerender.io/framework/angular/">Angular</a>, <a href="https://prerender.io/framework/vue-js/" type="link" id="https://prerender.io/framework/vue-js/">Vue</a>, or any <a href="https://prerender.io/framework/others-js/" type="link" id="https://prerender.io/framework/others-js/">JS framework</a>. Human visitors still experience the normal JavaScript site.</p>
<p class="wp-block-paragraph"><a href="https://prerender.io/blog/how-to-install-prerender/" type="link" id="https://prerender.io/blog/how-to-install-prerender/">Prerender.io’s setup takes only a few hours</a>, integrates well with your existing JS stack, works with most CDN and backend configurations, and requires no code rewrite or ongoing maintenance burden.</p>
<h3 class="wp-block-heading">How Prerender.io Closed On’s Rendering Gap and the Revenue That Followed</h3>
<p class="wp-block-paragraph"><a href="https://www.on.com/" type="link" id="https://www.on.com/" target="_blank" rel="noreferrer noopener nofollow">On</a>’s most pressing problem was that Google could not reliably read its JavaScript-rendered product content. This led to <a href="https://prerender.io/blog/how-to-fix-disapproved-google-ads/" type="link" id="https://prerender.io/blog/how-to-fix-disapproved-google-ads/">disapproved ads across Google Shopping</a> and DV360, and limited the visibility of its catalog in organic search.</p>
<p class="wp-block-paragraph">Rather than rebuild the site with server-side rendering, On implemented Prerender.io to serve complete, readable HTML to search crawlers. This restored access to the product data Google needed to approve ads, surface listings, and index pages correctly—protecting both paid and organic acquisition channels.</p>
<p class="wp-block-paragraph">Over nearly three years, On recorded a 67% increase in Google traffic and a 98% increase in Bing traffic while avoiding an SSR migration and any changes to its core site code. The company also estimates that the implementation saves millions of dollars each year.</p>
<p class="wp-block-paragraph">Marilena Pixner, On’s Senior Organic Growth and SEO Specialist, said Prerender.io offered “<em>the strongest combination of stability, speed, and value</em>” for their site.</p>
<div class="wp-block-image">
<figure class="aligncenter size-full"><img loading="lazy" decoding="async" width="624" height="237" src="https://prerender.io/wp-content/uploads/On-image-traffic-results.jpg" alt="On’s image traffic results after implementing Prerender.io." class="wp-image-13010" srcset="https://prerender.io/wp-content/uploads/On-image-traffic-results.jpg 624w, https://prerender.io/wp-content/uploads/On-image-traffic-results-300x114.jpg 300w" sizes="(max-width: 624px) 100vw, 624px" /></figure>
</div>
<p class="has-text-align-center wp-block-paragraph"><em>On’s image traffic results after implementing Prerender.io</em>.</p>
<p class="wp-block-paragraph">To validate the impact directly, the On team decided to run a test: they temporarily disabled Prerender.io for one month in a low-traffic market. Traffic dropped to less than 10% of its normal levels, then stabilized once it was turned back on. That single test is a clear signal that Prerender.io is a critical driver of On’s online discoverability. Read more about <a href="https://prerender.io/resources/case-studies/on-prerender/" type="link" id="https://prerender.io/resources/case-studies/on-prerender/">On’s success story with Prerender.io</a>.</p>
<div class="wp-block-image">
<figure class="aligncenter size-full"><img loading="lazy" decoding="async" width="624" height="132" src="https://prerender.io/wp-content/uploads/On-image-traffic.png" alt="On’s image traffic after turning Prerender.io off in a controlled test" class="wp-image-13017" srcset="https://prerender.io/wp-content/uploads/On-image-traffic.png 624w, https://prerender.io/wp-content/uploads/On-image-traffic-300x63.png 300w" sizes="(max-width: 624px) 100vw, 624px" /></figure>
</div>
<p class="has-text-align-center wp-block-paragraph"><em>On’s image traffic after turning Prerender.io off in a controlled test</em></p>
<h2 class="wp-block-heading">Serve AI Agents a Readable Catalog Without Rebuilding Your Frontend</h2>
<p class="wp-block-paragraph">The user class for ecommerce sites is expanding beyond humans, and the agent share of traffic is predicted to keep climbing. This means a growing slice of your buyers now arrive as agents, and only the sites that get readable first will be the ones agents can buy from.</p>
<p class="wp-block-paragraph">To serve these transactional agents, the foundation begins at the rendering layer. With <strong>Prerender.io</strong>, you can serve agents complete, pre-rendered HTML on the first request without rebuilding your catalog, while human shoppers still enjoy the dynamic experience. That first readable response is what turns a potential AI agent transaction failure into a completed sale.</p>
<p class="wp-block-paragraph">Ready to make your ecommerce catalogs visible to AI agents? <a href="https://prerender.io/pricing/" type="link" id="https://prerender.io/pricing/">Get started with Prerender.io for free and see the impact firsthand.</a></p>
<h2 class="wp-block-heading">Frequently Asked Questions: Agentic AI Ecommerce</h2>
<h3 class="wp-block-heading">1. Does Fixing the Rendering Layer Affect Agentic Commerce and Other Traffic Channels?</h3>
<p class="wp-block-paragraph">Yes. The same rendered HTML that allows AI shopping agents to read your catalog also helps Google’s crawlers, shopping platforms, and paid media systems access your product content.</p>
<p class="wp-block-paragraph"><a href="https://prerender.io" type="link" id="https://prerender.io">More reliable rendering</a> can support complete indexing, reduce ad or feed disapprovals, and improve visibility across organic and paid channels. Any ranking gains are a downstream effect of making the page consistently accessible, rather than a direct result of prerendering itself.</p>
<h3 class="wp-block-heading">2. How Long Does It Take to Make a JS Catalog Agent-Ready?</h3>
<p class="wp-block-paragraph">With prerendering, it takes a few hours. Because <a href="https://prerender.io" type="link" id="https://prerender.io">Prerender.io</a> works at the infrastructure layer and serves rendered HTML to agents on request, there’s no framework migration or SSR rewrite, and it fits most existing CDN and backend setups. An SSR rebuild solves the same problem but takes months to pull off.</p>
<h3 class="wp-block-heading">3. How Can Ecommerce Sites Prepare for Agentic AI?</h3>
<p class="wp-block-paragraph">Ecommerce sites can prepare for agentic AI by ensuring agents can reach their site at all. Once access is clear, solve the rendering layer so JS-heavy pages return complete HTML. From there, add semantic structure so agents can navigate your agentic AI product catalog, clean up your content layer for machine readability, and expose procurement workflows through APIs or MCP. Each step builds on the one before it.</p>
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</item>
<item>
<title>Behind the Mic with Producer Carli Van Stolk: Season Two Finale of the Get Discovered Podcast</title>
<link>https://prerender.io/blog/podcast-season-two-wrap-up/</link>
<dc:creator><![CDATA[Prerender]]></dc:creator>
<pubDate>Thu, 23 Jul 2026 09:37:21 +0000</pubDate>
<category><![CDATA[AI SEO]]></category>
<category><![CDATA[Podcast]]></category>
<category><![CDATA[aeo podcast]]></category>
<category><![CDATA[aeo vs seo]]></category>
<category><![CDATA[aeo vs seo podcast]]></category>
<category><![CDATA[get discovered podcast]]></category>
<category><![CDATA[podcast]]></category>
<category><![CDATA[prerender podcast]]></category>
<guid isPermaLink="false">https://prerender.io/?p=12615</guid>
<description><![CDATA[Tune into the season two wrap-up episode with Get Discovered producer, Carli Van Stolk.]]></description>
<content:encoded><![CDATA[
<p class="wp-block-paragraph">Thirteen episodes later, we’re officially wrapping up the second season of our podcast, <a href="https://prerender.io/podcast" target="_blank" rel="noreferrer noopener"><em>Get Discovered</em></a>. This season, we explored why AI is changing where online discovery happens, what gets surfaced, and why most teams have a lot less visibility and control than they thought.</p>
<p class="wp-block-paragraph">To close out season two, host Joe Walsh handed the mic to the person who’s usually behind the scenes: producer Carli Van Stolk. She’s sat in on every conversation this season but hasn’t been on the recording herself this season, so this episode is a little different. It’s a casual, unscripted debrief on the themes, the favorite moments, the technical hiccups behind-the-scenes, and what’s coming in season three.</p>
<p class="wp-block-paragraph">Watch or listen to the full episode below, or read on for the highlights.</p>
<figure class="wp-block-embed is-type-video is-provider-youtube wp-block-embed-youtube wp-embed-aspect-16-9 wp-has-aspect-ratio"><div class="wp-block-embed__wrapper">
<iframe title="Season 2 Wrap: Behind the Mic with Producer Carli Van Stolk" width="640" height="360" src="https://www.youtube.com/embed/BeInVXg2a0c?feature=oembed" frameborder="0" allow="accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share" referrerpolicy="strict-origin-when-cross-origin" allowfullscreen></iframe>
</div></figure>
<h2 class="wp-block-heading">The Season’s Real Theme Wasn’t AEO vs. SEO. It Was Confusion</h2>
<p class="wp-block-paragraph">Ask Joe to name one theme that ran through the season, and he’ll actually give you two. The first is general: a lot of smart, experienced guests, and still a lot of honest hypothesizing about the lack of clarity on what’s actually happening.</p>
<p class="wp-block-paragraph">“Everyone is honest about that,” Joe says, “which I think is another theme that’s important to note.” The industry is in a liminal space. The game has clearly changed, but nobody has fully mapped the new one yet.</p>
<p class="wp-block-paragraph">He traces part of that back to something raised in the episode with <a href="https://prerender.io/blog/podcast-klaus-schremser-otterlyai/" target="_blank" rel="noreferrer noopener">Klaus-M. Schremser</a> from Otterly AI: SEO should probably have always been called “Google optimization,” he says. It was built around one company and one algorithm. When something changed, there was a whole ecosystem of insiders ready to explain what to do differently. That clarity is exactly what’s missing now.</p>
<p class="wp-block-paragraph">Carli’s read from behind the scenes backs this up. Guest after guest described the same problems: attribution gaps, traffic loss, and a lack of clarity on what’s actually working. “Maybe the podcast needs to turn into a support group,” she jokes. </p>
<figure class="wp-block-embed is-type-video is-provider-youtube wp-block-embed-youtube wp-embed-aspect-9-16 wp-has-aspect-ratio"><div class="wp-block-embed__wrapper">
<iframe title="SEO in 2026: everyone&apos;s experiencing the same struggles" width="540" height="960" src="https://www.youtube.com/embed/S-SqvrMX6f0?feature=oembed" frameborder="0" allow="accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share" referrerpolicy="strict-origin-when-cross-origin" allowfullscreen></iframe>
</div></figure>
<p class="wp-block-paragraph">But alongside the hand-wringing, she and Joe both noticed something else: genuine optimism about where things are headed.</p>
<p class="wp-block-paragraph">“Most guests are excited about the state of things, and what’s to come,” Carli says. “The industry is in an exciting place.”</p>
<h2 class="wp-block-heading">Is AEO Really Different From SEO? Yes, No, and It’s Complicated</h2>
<p class="wp-block-paragraph">The season’s most recurring debate gets its own segment in the wrap-up, and neither host lands on a clean answer. Carli points to the episode with <a href="https://prerender.io/blog/what-hubspots-ai-search-strategist-knows-that-most-marketers-dont/" target="_blank" rel="noreferrer noopener">Sylvain Charbit, Lead AI Search Strategist at HubSpot</a> and a Prerender.io client. He argued that the gap between AEO and SEO is only going to widen, even as many SEOs still treat them as basically the same thing.</p>
<figure class="wp-block-embed is-type-video is-provider-youtube wp-block-embed-youtube wp-embed-aspect-9-16 wp-has-aspect-ratio"><div class="wp-block-embed__wrapper">
<iframe title="Is SEO vs. AEO the right conversation to have?" width="540" height="960" src="https://www.youtube.com/embed/dwIhXKZUj4g?feature=oembed" frameborder="0" allow="accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share" referrerpolicy="strict-origin-when-cross-origin" allowfullscreen></iframe>
</div></figure>
<p class="wp-block-paragraph">Joe’s take is more first-principles: SEO was always about organic growth, and AEO is a flavor of that same goal rather than a separate discipline. He credits the framing from <a href="https://prerender.io/blog/podcast-max-woelfle-on/" target="_blank" rel="noreferrer noopener">Max Woelfle, Organic Growth Lead at On</a>: both terms need to fold into something bigger and connected to actual business metrics, as the direction the industry should be heading.</p>
<p class="wp-block-paragraph">“SEO or AEO in and of themselves don’t connect to the business metric tree,” Joe says. “They’re a stepping stone.” He also flags a moment from another episode that stuck with him: <a href="https://prerender.io/blog/why-safe-seo-is-no-longer-enough-yoast/" target="_blank" rel="noreferrer noopener">Alain Schlesser from Yoast</a> asking a client what their real goal was, only to point out that “more traffic” isn’t a goal. It’s a proxy for something the business actually wants.</p>
<p class="wp-block-paragraph">Where they land: the terms matter less than what teams are optimizing toward, and the work has gotten more cross-functional than ever, pulling in product, partnerships, and sales teams that pure SEO rarely touched.</p>
<h2 class="wp-block-heading">The Biggest Misconception: Wanting AI Search to Behave Like Google</h2>
<p class="wp-block-paragraph">Every guest this season got asked the same question: what’s the biggest misconception about AI visibility? </p>
<p class="wp-block-paragraph">Joe’s takeaway, looking back across all episodes, is that most people want AI search to be a smaller, slightly weirder version of Google. Something with clear levers you can pull and clean metrics you can track.</p>
<p class="wp-block-paragraph">But it isn’t. The goalposts move constantly, and the tidy attribution chain SEOs grew up with doesn’t translate.</p>
<p class="wp-block-paragraph">Carli adds a favorite from <a href="https://prerender.io/blog/a-conversation-with-tobias-schlottke-saas-group/" target="_blank" rel="noreferrer noopener">Tobias Schlottke’s episode</a>: the gap between discoverability and <em>actionability</em>, and how this is something all SEOs should be thinking about now. </p>
<p class="wp-block-paragraph">What Tobi means by actionability, in this case, is whether AI agents will actually be trusted to act on someone’s behalf—not just surface information. This is something that Max Woelfle from On echoes, too. </p>
<p class="wp-block-paragraph">An important caveat: even though agentic AI is certainly on the way (nearly every guest spoke about it), it’s still a long way off from mainstream adoption, says Joe. He’s skeptical it’s coming as fast as the loudest early adopters suggest. His evidence: even Tobias, one of the most technically fluent people he knows, ended up buying his daughter’s toy himself instead of letting an agent handle it.</p>
<h2 class="wp-block-heading">What Changed Behind the Curtain This Season</h2>
<p class="wp-block-paragraph">The conversation also turns inward, covering what actually improved production-side across season two. Carli points to two things she’s carrying into season three. First, better tooling (the team moved from ChatGPT to a Claude project this season). Second, a much stronger prep process, including intro calls with guests before recording so she understands what they actually want to talk about.</p>
<p class="wp-block-paragraph">“The prep is huge,” she says. “Notes for anyone running a podcast: don’t just rely on AI exclusively for that. Have an actual conversation with the guest, and use your brain.” She’s candid that she leaned on AI a bit too heavily earlier in the season for her own thinking, and it showed. Going forward, she’s keeping the note-taking and clip selection human.</p>
<p class="wp-block-paragraph">As for guests with standout energy on the mic? Carli calls out <a href="https://prerender.io/blog/podcast-noah-greenberg-stacker/" target="_blank" rel="noreferrer noopener">Noah Greenberg from Stacker</a> as a natural, and someone who “should be on podcasts all the time.” The two also discussed favorite moments, but those were harder to pin down. Joe name-checks the conversation with <a href="https://prerender.io/blog/podcast-ray-grieselhuber-demandsphere/" target="_blank" rel="noreferrer noopener">Ray Grieselhuber from Demandsphere</a>, where a throwaway phrase about “service as software” put language to something he’s tried to explain for a decade of SaaS work. He also mentions the episode with <a href="https://prerender.io/blog/a-podcast-conversation-with-ryan-law-ahrefs/" target="_blank" rel="noreferrer noopener">Ryan Law from Ahrefs,</a> whose depth of experience made for one of the season’s most grounded conversations.</p>
<h2 class="wp-block-heading">Season Three: From Discoverability to Actionability</h2>
<p class="wp-block-paragraph">Season two was about diagnosing the discovery crisis: noticing where visibility broke down, why attribution stopped working, what teams are getting wrong. Season three is shifting toward something more prescriptive, such as specific solutions, rather than shared confusion.</p>
<p class="wp-block-paragraph">Joe and Carli are planning to bring in more partners and more voices from across the industry to dig into the actionability question they raised this season. They also expect to keep tracking what the community ends up calling all of this, since “organic growth,” “AEO,” and “SEO” are all still competing for the job.</p>
<p class="wp-block-paragraph">There’s also a structural change worth flagging: Carli is heading out on maternity leave, so season three will feature new voices from the Prerender.io team stepping in as co-hosts and producers. “It’s gonna be an adjustment,” Joe admits, “but it’ll be nice to surface new perspectives.” On the research side, Prerender.io is also bringing on its first applied research scientist, who’ll help bring more rigor to the data and findings that make it into future episodes.</p>
<h2 class="wp-block-heading">Tune Into the Full Conversation</h2>
<p class="wp-block-paragraph">Listen to the full season two wrap-up of <em>Get Discovered</em> on Spotify, Apple, or wherever you get your podcasts. Don’t forget to review and subscribe so you don’t miss season three. Got a specific problem you’d like the show to tackle next season? Let the team know at <a href="https://prerender.io/podcast" target="_blank" rel="noreferrer noopener">prerender.io/podcast</a> or on <a href="https://linkedin.com/company/prerender" target="_blank" rel="noreferrer noopener">LinkedIn</a>.</p>
<figure class="wp-block-embed is-type-rich is-provider-spotify wp-block-embed-spotify wp-embed-aspect-21-9 wp-has-aspect-ratio"><div class="wp-block-embed__wrapper">
<iframe title="Spotify Embed: Season Finale: Behind the Mic with Get Discovered Producer Carli Van Stolk" style="border-radius: 12px" width="100%" height="152" frameborder="0" allowfullscreen allow="autoplay; clipboard-write; encrypted-media; fullscreen; picture-in-picture" loading="lazy" src="https://open.spotify.com/embed/episode/4m0tFLCZmRF5NfbBHBcwXI?si=Fq0exv-8SCuSi0TXpz14mg&utm_source=oembed"></iframe>
</div></figure>
<h2 class="wp-block-heading">About Prerender.io</h2>
<p class="wp-block-paragraph">Prerender.io is a leading SEO solution that helps modern websites ensure their JavaScript-heavy pages are fully visible to search engines and AI tools. Trusted by companies like Microsoft, Salesforce, and Walmart, Prerender.io is the go-to partner for businesses navigating the future of SEO and AI-driven discoverability. <a href="https://prerender.io/pricing/" target="_blank" rel="noreferrer noopener">Start for free today</a> or talk to sales for an Enterprise solution.</p>
<div class="wp-block-buttons is-content-justification-center is-layout-flex wp-container-core-buttons-is-layout-fe48e5de wp-block-buttons-is-layout-flex">
<div class="wp-block-button"><a class="wp-block-button__link has-white-color has-text-color has-background has-link-color wp-element-button" href="https://prerender.io/pricing/" style="border-top-left-radius:0px;border-top-right-radius:0px;border-bottom-left-radius:0px;border-bottom-right-radius:0px;background-color:#1f8211">Learn More</a></div>
</div>
]]></content:encoded>
</item>
<item>
<title>Why Your Vibe-Coded Website Isn’t Showing Up in AI Search</title>
<link>https://prerender.io/blog/vibe-coded-website-invisible-in-ai-search/</link>
<dc:creator><![CDATA[Prerender]]></dc:creator>
<pubDate>Thu, 25 Jun 2026 09:07:15 +0000</pubDate>
<category><![CDATA[AI SEO]]></category>
<category><![CDATA[vibe coded websites]]></category>
<guid isPermaLink="false">https://prerender.io/?p=10957</guid>
<description><![CDATA[Are your AI-generated apps missing from AI search? Learn why AI bots can’t read and index vibe-coded websites.]]></description>
<content:encoded><![CDATA[
<p class="wp-block-paragraph">You shipped a vibe-coded website over a weekend using Bolt.new, Lovable, or your AI coding tool of choice. Then, you type your site or product name into ChatGPT, and nothing appears, or worse, a competitor shows up in your place. This AI visibility gap has nothing to do with your content quality. It’s how AI-generated websites are built and how LLM crawlers discover, render, and interpret them.</p>
<p class="wp-block-paragraph">Many AI-built sites rely heavily on JavaScript, creating indexability and rendering issues that affect both traditional search engines and AI search platforms. If AI crawlers can’t access your vibe-caded content, they can’t understand it, or recommend it in AI-generated answers.</p>
<p class="wp-block-paragraph">Our team has cracked the code on why your vibe-coded website isn’t showing up in AI search and LLMs, and walks you through the specific fixes to improve the SEO for vibe-coded apps: metadata that AI crawlers actually parse, structured data formats that feed language models, and the signal patterns that get products cited in AI-generated answers. Most take under an hour to implement.</p>
<h2 class="wp-block-heading">TL;DR of How to Make Vibe-Coded Websites Discoverable on AI Search</h2>
<ul class="wp-block-list">
<li>AI-website generated tools, like Bolt.new and Lovable, produce React SPAs/websites with client-side rendering by default. When AI bots request a page, it returns an empty HTML shell to crawlers — no content, no headings, no meta tags.</li>
<li>LLM crawlers (GPTBot, ClaudeBot, PerplexityBot) fetch raw HTML only. They do not execute JavaScript.</li>
<li>Prerender.io generates static HTML snapshots of your pages and serves them to crawlers on request. No changes to your vibe-coded website codebase required.</li>
<li>Three additional steps (structured data, descriptive meta tags, clean URLs) reinforce LLM visibility across all major AI search platforms.</li>
</ul>
<h2 class="wp-block-heading">AI Search Is Where Search and Transactions Happen</h2>
<p class="wp-block-paragraph">When an LLM cites your product in an answer, the recommendation carries different weight than a sponsored ad or a search result. The model is endorsing you. In early 2025, <a href="https://fairing.co/resources/benchmarks/llm-product-discovery-benchmarks-q2-2025" type="link" id="https://fairing.co/resources/benchmarks/llm-product-discovery-benchmarks-q2-2025" target="_blank" rel="noreferrer noopener nofollow">post-purchase surveys</a> run by Fairing showed a 10x increase in customers citing LLMs as where they discovered a product in six months, not over the years.</p>
<p class="wp-block-paragraph">For product discovery specifically, <a href="https://www.admarketplace.com/news/report-60-of-consumers-say-ai-will-become-the-standard-for-online-shopping-signaling-a-surge-toward-smarter-faster-purchases" type="link" id="https://www.admarketplace.com/news/report-60-of-consumers-say-ai-will-become-the-standard-for-online-shopping-signaling-a-surge-toward-smarter-faster-purchases" target="_blank" rel="noreferrer noopener nofollow">31% of consumers</a> now prefer AI over traditional search, according to an October 2025 survey of over 1,000 US consumers. Bain even found that shopping activity on ChatGPT <a href="https://www.bain.com/insights/how-customers-are-using-ai-search/" type="link" id="https://www.bain.com/insights/how-customers-are-using-ai-search/" target="_blank" rel="noreferrer noopener nofollow">doubled in six months</a>, and Shopify reported AI-referred orders <a href="https://metricusapp.com/blog/chatgpt-referral-conversion-rates-shopify-2026/" type="link" id="https://metricusapp.com/blog/chatgpt-referral-conversion-rates-shopify-2026/" target="_blank" rel="noreferrer noopener nofollow">grew 11x</a> between January 2025 and early 2026.</p>
<figure class="wp-block-image size-full"><img loading="lazy" decoding="async" width="399" height="399" src="https://prerender.io/wp-content/uploads/ChatGPT-shopping-activity-statistics.jpg" alt="ChatGPT shopping activity statistics" class="wp-image-10964" srcset="https://prerender.io/wp-content/uploads/ChatGPT-shopping-activity-statistics.jpg 399w, https://prerender.io/wp-content/uploads/ChatGPT-shopping-activity-statistics-300x300.jpg 300w, https://prerender.io/wp-content/uploads/ChatGPT-shopping-activity-statistics-150x150.jpg 150w" sizes="(max-width: 399px) 100vw, 399px" /></figure>
<p class="wp-block-paragraph">And when looking at the AI search conversion rates, ChatGPT referrals converted at 15.9% against Google organic at 1.76% (<a href="https://www.seerinteractive.com/insights/case-study-6-learnings-about-how-traffic-from-chatgpt-converts" type="link" id="https://www.seerinteractive.com/insights/case-study-6-learnings-about-how-traffic-from-chatgpt-converts" target="_blank" rel="noreferrer noopener nofollow">source</a>). Across a broader sample of sites, Semrush put the average conversion advantage at <a href="https://www.semrush.com/blog/ai-search-seo-traffic-study/" type="link" id="https://www.semrush.com/blog/ai-search-seo-traffic-study/" target="_blank" rel="noreferrer noopener nofollow">4.4x</a>, and a different study showed LLM visitors also spend <a href="https://www.position.digital/blog/ai-seo-statistics/" type="link" id="https://www.position.digital/blog/ai-seo-statistics/" target="_blank" rel="noreferrer noopener nofollow">68% more time on the site</a> than organic visitors.</p>
<p class="wp-block-paragraph">The window to establish AI discoverability is open right now, and most of your competitors haven’t thought about it yet. The catch is that if your site was built with Bolt.new, Lovable, Replit, or any similar AI website builder, there’s a structural reason you may not be showing up on search, and it has nothing to do with your content quality.</p>
<h2 class="wp-block-heading">AI Search vs. Google Search Optimization: How Search Bots Work On JS Content</h2>
<p class="wp-block-paragraph">To understand why vibe-coded apps are invisible to AI search, you need to know how <strong>JavaScript rendering for LLMs</strong> works and how it differs from Google.</p>
<p class="wp-block-paragraph">Googlebot loads your page in a headless Chrome browser, executes your JavaScript, waits for content to render, and indexes the result. The process is slow, but Googlebot eventually sees what your users see.</p>
<p class="wp-block-paragraph">LLM crawlers work completely differently. GPTBot (OpenAI), ClaudeBot (Anthropic), and PerplexityBot send a single HTTP request and read whatever raw HTML comes back. They do not run your JavaScript, wait for your React components on your Lovable site to mount, or follow deferred load sequences. If the content does not exist in the initial HTML response, those crawlers never see it.</p>
<p class="wp-block-paragraph"><a href="https://vercel.com/blog/the-rise-of-the-ai-crawler" type="link" id="https://vercel.com/blog/the-rise-of-the-ai-crawler" target="_blank" rel="noreferrer noopener nofollow">Vercel and MERJ confirmed this in a December 2024 study</a> analyzing billions of requests across Vercel’s network. GPTBot fetched JavaScript files 11.5% of the time but showed zero evidence of executing them. ClaudeBot fetched JS files nearly 24% of the time — also without executing a single one. PerplexityBot showed the same pattern.</p>
<p class="wp-block-paragraph"><a href="https://developers.google.com/search/docs/crawling-indexing/javascript/javascript-seo-basics" type="link" id="https://developers.google.com/search/docs/crawling-indexing/javascript/javascript-seo-basics" target="_blank" rel="noreferrer noopener nofollow">Google’s own developer documentation</a> puts it plainly: “Not all bots can run JavaScript.” GPTBot, ClaudeBot, and PerplexityBot are all in that category. What they can read is static HTML.</p>
<h2 class="wp-block-heading">Why AI Crawlers Can’t Read Your Vibe-Coded Website</h2>
<p class="wp-block-paragraph">So, what does this mean for your vibe-coded site’s visibility in AI search? Tools like Cursor, Bolt, and v0 default to React or Next.js with client-side rendering because those web frameworks produce fast, interactive UIs with minimal configuration.</p>
<p class="wp-block-paragraph">The AI SEO trade-off is that your page’s actual content (product descriptions, features, pricing pages) often lives in JavaScript bundles that only execute in a real browser. Crawl that same page with a raw HTTP request and you typically get a shell: a <code><mark style="background-color:#f2f2f2" class="has-inline-color"><div id="root"></mark></code> and a pile of script tags with nothing inside them.</p>
<p class="wp-block-paragraph">If you want to go deeper on how AI crawlers differ from traditional search bots, <a href="https://prerender.io/blog/understanding-web-crawlers-traditional-ai/" type="link" id="https://prerender.io/blog/understanding-web-crawlers-traditional-ai/">our breakdown of traditional vs. AI crawlers</a> is a useful reference.</p>
<h2 class="wp-block-heading">What The AI Website Built Tool Shipped vs. What Search Crawlers See</h2>
<figure class="wp-block-image size-full"><img loading="lazy" decoding="async" width="624" height="351" src="https://prerender.io/wp-content/uploads/AI-bots-cant-see-your-vibe-coded-website-content.jpg" alt="AI bots can't see your vibe-coded website content" class="wp-image-10967" srcset="https://prerender.io/wp-content/uploads/AI-bots-cant-see-your-vibe-coded-website-content.jpg 624w, https://prerender.io/wp-content/uploads/AI-bots-cant-see-your-vibe-coded-website-content-300x169.jpg 300w" sizes="(max-width: 624px) 100vw, 624px" /></figure>
<p class="wp-block-paragraph">Bolt.new and Lovable both generate React and Vite single-page applications (SPAs) with client-side rendering by default. This default is a platform-level constraint. <a href="https://lovable.dev/faq/capabilities/tech-stack/lovable-nextjs-support" type="link" id="https://lovable.dev/faq/capabilities/tech-stack/lovable-nextjs-support" target="_blank" rel="noreferrer noopener nofollow">Lovable’s own FAQ</a> confirms the platform generates React + Vite + TypeScript by default, not Next.js, which means <strong>no built-in server-side rendering</strong>.</p>
<p class="wp-block-paragraph"><em>Note: as of May 13, 2026, Lovable offers native server-side rendering (SSR) for websites built on their platform after April 20, 2026. Any websites that were deployed before that are still unsupported. The Lovable SSR isn’t perfect yet, as mentioned by several users on Reddit (Source: <a href="https://www.reddit.com/r/lovable/comments/1sqq9ym/did_lovable_just_fix_their_seo_problem_and_kill/" type="link" id="https://www.reddit.com/r/lovable/comments/1sqq9ym/did_lovable_just_fix_their_seo_problem_and_kill/" target="_blank" rel="noreferrer noopener nofollow">this Reddit thread</a>).</em></p>
<figure class="wp-block-image size-full"><img loading="lazy" decoding="async" width="624" height="111" src="https://prerender.io/wp-content/uploads/lovable-reddit-thread.jpg" alt="Lovable SSR review on Reddit" class="wp-image-10969" srcset="https://prerender.io/wp-content/uploads/lovable-reddit-thread.jpg 624w, https://prerender.io/wp-content/uploads/lovable-reddit-thread-300x53.jpg 300w" sizes="(max-width: 624px) 100vw, 624px" /></figure>
<p class="wp-block-paragraph">When a user visits your homepage, they see the full experience: hero headline, product features, social proof, pricing, and CTAs rendered cleanly across the page.</p>
<p class="wp-block-paragraph">Here is what GPTBot, ClaudeBot, and PerplexityBot get when they request the exact same URL:</p>
<pre class="wp-block-code dark"><code><!DOCTYPE html>
<html lang="en">
<head>
<meta charset="utf-8" />
<title>My App</title>
</head>
<body>
<div id="root"></div>
<script src="/static/js/bundle.js"></script>
</body>
</html></code></pre>
<p class="wp-block-paragraph"><strong>Your headline, product features, pricing, testimonials, and every piece of visible text on the page live inside that empty <code><mark style="background-color:#f2f2f2" class="has-inline-color"><div></mark></code> after JavaScript populates it. Crawlers see none of it.</strong> This is the core reason LLMs are not citing your website even when the content is excellent.</p>
<p class="wp-block-paragraph">The same indexability issues of vibe-coded websites extend to meta descriptions, structured data, and internal links. In React apps using react-helmet or similar libraries, JavaScript injects these tags after page load. Crawlers see only the fallback, usually empty or generic. Hash-based routing makes things worse: URLs like yoursite.com/#/pricing strip the fragment before reaching the server, so each page cannot be individually requested or indexed.</p>
<figure class="wp-block-table"><table class="has-fixed-layout"><tbody><tr><td><strong><em>What a user sees:</em></strong><em> A fully rendered landing page with headings, copy, and calls to action.</em><br><br><strong><em>What GPTBot, ClaudeBot, and PerplexityBot see:</em></strong><em> An empty div and a script tag.</em></td></tr></tbody></table></figure>
<p class="wp-block-paragraph">Like <a href="https://dreasays.substack.com/p/the-lovable-seo-problem" type="link" id="https://dreasays.substack.com/p/the-lovable-seo-problem" target="_blank" rel="noreferrer noopener nofollow">one Lovable builder described</a>: “For humans, this works perfectly. Your browser executes the JavaScript, the page appears, and you never notice the difference.</p>
<p class="wp-block-paragraph">For search engine bots, it’s a disaster. Most crawlers do a simple HTTP request and read the HTML they get back. They don’t reliably execute JavaScript. </p>
<p class="wp-block-paragraph">The gap is invisible in Google Search Console because Googlebot eventually renders the JavaScript and indexes the content. There’s no equivalent warning for AI crawlers. Your Google rankings can look healthy while ChatGPT and Perplexity have nothing to cite.</p>
<p class="wp-block-paragraph">To check what crawlers currently find on your site, run this in your terminal:</p>
<pre class="wp-block-code dark"><code>curl -s https://yoursite.com | grep -i "title\|meta\|h1\|<p"</code></pre>
<p class="wp-block-paragraph">Or right-click the page and choose “View Page Source”. If the output is mostly empty, or shows only <code><mark style="background-color:#f2f2f2" class="has-inline-color"><div id="root"></div></mark></code> with little readable text, your AI-generated website has the same problem most do.</p>
<h2 class="wp-block-heading">How Prerender.io Closes the SEO Gap for AI-Built Websites</h2>
<p class="wp-block-paragraph">Migrating to Next.js for server-side rendering to improve your vibe-coded apps’ SEO is a full rebuild. It means leaving the AI builder tools you used, starting a new codebase, and spending weeks on infrastructure instead of product. For most indie builders, that trade is not worth it.</p>
<p class="wp-block-paragraph"><a href="https://prerender.io/blog/how-to-make-lovable-websites-seo-friendly/" type="link" id="https://prerender.io/blog/how-to-make-lovable-websites-seo-friendly/">Prerendering your Lovable websites with Prerender.io</a> solves the same problem without requiring a rebuild of your AI-built apps. Prerender sits between your vibe-coded website and incoming crawler requests. When GPTBot or ClaudeBot visits a URL, Prerender.io checks its cache for a pre-rendered static HTML snapshot of that page and serves it. Human visitors continue to get the normal interactive SPA. Crawlers get a complete, readable HTML document with all your content, headings, meta tags, and structured data fully visible.</p>
<figure class="wp-block-image size-full"><img loading="lazy" decoding="async" width="624" height="332" src="https://prerender.io/wp-content/uploads/Track-what-AI-crawlers-visit-your-website-with-Prerender.io_.jpg" alt="Track what AI crawlers visit your website with Prerender.io" class="wp-image-10983" srcset="https://prerender.io/wp-content/uploads/Track-what-AI-crawlers-visit-your-website-with-Prerender.io_.jpg 624w, https://prerender.io/wp-content/uploads/Track-what-AI-crawlers-visit-your-website-with-Prerender.io_-300x160.jpg 300w" sizes="(max-width: 624px) 100vw, 624px" /></figure>
<p class="wp-block-paragraph">Additionally, Prerender.io supports cache and recache, allowing your Lovable website to deliver fully rendered pages to crawlers in <strong>0.03 to 0.05 seconds</strong>. Cache refresh frequency is also configurable depending on your site’s refresh needs. These two functions set Prerender.io apart from HadoSEO.</p>
<p class="wp-block-paragraph">For Lovable and Bolt.new deployments, Prerender.io runs through a Cloudflare Worker and takes 30 to 45 minutes to set up, without rebuilding the app or adding dependencies. The result is real SEO for vibe-coded apps without touching your codebase.</p>
<p class="wp-block-paragraph">Prerender.io supports every major crawler powering today’s AI search engines: GPTBot, OAI-SearchBot, ClaudeBot, Claude-SearchBot, and PerplexityBot. <a href="https://prerender.io/blog/how-to-optimize-your-website-for-ai-crawlers/" type="link" id="https://prerender.io/blog/how-to-optimize-your-website-for-ai-crawlers/">For deeper walkthroughs, Prerender has a guide on how to optimize your website for AI crawlers.</a></p>
<h2 class="wp-block-heading">3 Tips To Improve SEO for Lovable and Bolt.new Websites Used by SEO Specialists</h2>
<p class="wp-block-paragraph">Prerendering solves the architectural SEO problem of vibe-coded websites. These three steps (used by many SEO specialists) reinforce the SEO and AI SEO signal once crawlers can actually read your content.</p>
<h3 class="wp-block-heading">1. Write Descriptive Meta Tags for Every Page</h3>
<p class="wp-block-paragraph">AI crawlers use your <code><mark style="background-color:#f2f2f2" class="has-inline-color"><title></mark></code> and <code><mark style="background-color:#f2f2f2" class="has-inline-color"><meta name="description"></mark></code> to understand what a page is about before deciding whether to index it. A title like “Home” gives them nothing. Describe the specific content of each page in plain language. Most AI builders will update these if you prompt them directly and specifically.</p>
<h3 class="wp-block-heading">2. Add Basic Structured Data</h3>
<p class="wp-block-paragraph"><a href="https://schema.org/" type="link" id="https://schema.org/" target="_blank" rel="noreferrer noopener nofollow">JSON-LD schema</a> markup helps AI systems parse your content accurately. <a href="https://arxiv.org/html/2311.09735v3" type="link" id="https://arxiv.org/html/2311.09735v3" target="_blank" rel="noreferrer noopener nofollow">A Princeton study</a> found that GPT-4’s accuracy on content improved from 16% to 54% when structured data was present. For a SaaS site, the Organization schema on the homepage and FAQPage or Product schema on relevant pages is a reasonable starting point. Schema is one of the cleanest signals an LLM can parse, which makes it a strong lever for ChatGPT search optimization and Perplexity SEO rewards the same discipline.</p>
<h3 class="wp-block-heading">3. Fix Hash-Based Routing if Your App Uses It</h3>
<p class="wp-block-paragraph">Hash-based URLs like <em>yoursite.com/#/pricing</em> doesn’t work with AI crawlers. The fragment is never sent to the server, which means each page can’t be individually requested or indexed. Each page on your site needs its own distinct, descriptive URL. If your Bolt.new or Lovable app uses hash routing, this is worth addressing through the builder before you do anything else.</p>
<h2 class="wp-block-heading">Get Your Vibe-Coded Website Found in AI Search with Prerender.io</h2>
<p class="wp-block-paragraph">Bolt.new and Lovable are excellent at shipping real products fast. Client-side rendering is a sensible default for interactive apps. Crawlability simply was not part of the design equation when these defaults were set.</p>
<p class="wp-block-paragraph">If you have shipped on Lovable, Bolt.new, or a similar AI builder and your website is not showing up in LLMs when users search for what you do, the rendering setup is almost certainly why. Run the curl check above to confirm, then <a href="https://prerender.io/pricing/" type="link" id="https://prerender.io/pricing/"><strong>try Prerender for free and see what AI crawlers currently find on your vibe-coded app.</strong></a></p>
]]></content:encoded>
</item>
<item>
<title>What HubSpot’s AI Search Strategist Knows That Most Marketers Don’t</title>
<link>https://prerender.io/blog/what-hubspots-ai-search-strategist-knows-that-most-marketers-dont/</link>
<dc:creator><![CDATA[Prerender]]></dc:creator>
<pubDate>Wed, 03 Jun 2026 13:19:07 +0000</pubDate>
<category><![CDATA[AI SEO]]></category>
<category><![CDATA[Podcast]]></category>
<category><![CDATA[agentic AI]]></category>
<category><![CDATA[ai podcasts]]></category>
<category><![CDATA[seo podcasts]]></category>
<category><![CDATA[tech podcasts]]></category>
<guid isPermaLink="false">https://prerender.io/?p=10120</guid>
<description><![CDATA[Sylvain Charbit, AI Search Strategist at HubSpot, joins the Get Discovered podcast.]]></description>
<content:encoded><![CDATA[
<p class="wp-block-paragraph">HubSpot is one of the most recognizable brands in SaaS. It powers nearly 300,000 businesses across 135 countries, its blog is one of the most visited marketing destinations on the internet, and it’s one of the most consistently cited B2B brands in AI search.</p>
<p class="wp-block-paragraph">In this Get Discovered podcast conversation, Sylvain Charbit, HubSpot’s Lead AI Search Technical Strategist and a Prerender.io client, pulls back the curtain on how HubSpot is navigating the shift from traditional SEO to AI search. </p>
<p class="wp-block-paragraph">With actionable tips for brands of all sizes—not just enterprise giants like HubSpot—he shares what his team is testing, what’s working, what failed, and where most marketers are still going wrong with AI.</p>
<p class="wp-block-paragraph">Watch the full conversation below, or read on for key takeaways.</p>
<figure class="wp-block-embed is-type-video is-provider-youtube wp-block-embed-youtube wp-embed-aspect-16-9 wp-has-aspect-ratio"><div class="wp-block-embed__wrapper">
<iframe title="What HubSpot's AI Search Strategist Knows That Most Marketers Don't" width="640" height="360" src="https://www.youtube.com/embed/nGKOPZbRILA?feature=oembed" frameborder="0" allow="accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share" referrerpolicy="strict-origin-when-cross-origin" allowfullscreen></iframe>
</div></figure>
<h2 class="wp-block-heading">The Gap Is Widening Between Traditional SEO and AEO </h2>
<p class="wp-block-paragraph">Most conversations during our podcast this season have been centered on a key theme: AEO (or GEO or AIO, <a href="https://prerender.io/blog/seo-vs-aio-vs-geo/">whichever search term you prefer</a>) is essentially the same as traditional SEO. And especially the technical foundations. While Sylvain thinks this still rings true, he has a unique take on this. In his opinion: yes, it is. But that’s not the full story. </p>
<p class="wp-block-paragraph">For example, when asked about HubSpot’s success in AI search and whether its strong traditional SEO was central to that, this is his response:</p>
<p class="wp-block-paragraph"><em>“I would say that would be a lie to say that our past traditional SEO successes didn’t play a key role in our AI search visibility today. Yes, we are definitely benefiting from that. But this is not the </em><span style="box-sizing: border-box; margin: 0px; padding: 0px;"><em><strong>only </strong>thing</em></span><em>.”</em></p>
<p class="wp-block-paragraph">HubSpot capitalized on that foundation, but they pushed past it. They ran experiments, moved fast, and tried new things specifically for AI discovery. The strong traditional SEO foundation made those efforts more efficient, but it’s not the only reason why they continue to perform well. It’s because they’re constantly evolving with where AI is going, and they know that traditional SEO and AEO have unique differences.</p>
<h2 class="wp-block-heading">SEO and AEO Aren’t the Same Anymore</h2>
<p class="wp-block-paragraph">While the SEO fundamentals haven’t changed, it’s more complicated than that. Unlike with the previous days of traditional SEO, <a href="https://prerender.io/blog/how-to-get-indexed-on-ai-platforms/">AI search strategies</a> like thin content, AI-generated filler content, and topic clusters won’t work. All of these approaches now cost more than they return. Instead, build genuine authority and focus on pages that actually answer your customers’ specific questions, with data, and reflect a real point of view.</p>
<p class="wp-block-paragraph">And here’s where Charbit pushes back on the popular narrative that SEO and AI search optimization are the same. <strong>He overtly disagrees. </strong></p>
<p class="wp-block-paragraph">His take is, honestly, refreshing. Anyone who works in search knows that AEO has a unique set of challenges that differentiate it from traditional SEO. While three years ago, he says, SEO and AEO were about 95% overlapping. Today, he estimates that overlap is closer to 80-85%. But in twelve months, it’ll narrow even further. </p>
<p class="wp-block-paragraph"><em>“The gap between traditional SEO and AI will keep on widening. I know Google said this is the same thing. I don’t believe it is, even if it’s very close. But in twelve months, you will see that widening.”</em></p>
<p class="wp-block-paragraph">Who knows how this will play out in the next 3-5 years with <a href="https://prerender.io/blog/how-to-build-ai-agent-friendly-websites/">agentic search</a>, but it seems to accurately capture the state of search as it is now. And much better than what the SEO evangelists—or even the GEO evangelists—are repeating on LinkedIn these days, something that anyone working in search can resonate with.</p>
<h2 class="wp-block-heading">AI Search Is Not a Traffic Channel (Yet)</h2>
<p class="wp-block-paragraph">Segueing into the next part of the conversation, we explored myths and misconceptions about AI visibility. The clearest misconception that Sylvain hears from marketing leaders is the assumption that AI search should behave like a traffic acquisition channel, measurable through clicks and UTMs. It mostly doesn’t, and at least not yet.</p>
<p class="wp-block-paragraph"><em>“AI search is mostly about awareness and influence in general. The user will appear in AI results and then go somewhere else: go to your website, or to a place where you can buy your product or consume your information. This is not something that’s easy to explain or even to understand.”</em></p>
<p class="wp-block-paragraph">For now, the mental model needs to shift. When someone asks ChatGPT which CRM to consider, and your brand gets mentioned alongside two competitors, that doesn’t count as a click. It’s a mention—<a href="https://www.similarweb.com/blog/marketing/geo/ai-mentions-vs-ai-citations/">something entirely different than a citation</a>—and it influences the buyer’s consideration set before they ever visit any website.</p>
<p class="wp-block-paragraph"><a href="https://prerender.io/blog/ai-indexing-benchmark-for-ecommerce/">Measuring success in AI search</a> requires a different set of metrics, such as direct traffic, referral traffic, citation rate tracking, prompt monitoring, share of voice across AI platforms, and more. Not just sessions and conversions. For now, the companies optimizing for clicks from AI search are measuring the wrong thing. </p>
<h2 class="wp-block-heading">SEO Mistakes That Can Actually Hurt You in AI Search</h2>
<p class="wp-block-paragraph">Sylvain spent time on something that isn’t often discussed: the SEO strategies that negatively impact your AI visibility, even if your site is well-optimized otherwise.</p>
<h3 class="wp-block-heading">The Cloudflare Problem</h3>
<p class="wp-block-paragraph">Many marketers assume that if they’re visible in Google, they’re visible to AI search tools. But this isn’t quite true. Cloudflare’s default settings, and similar CDN configurations, can actually <a href="https://prerender.io/blog/understanding-web-crawlers-traditional-ai/">block AI bots</a> from crawling your site entirely, without you ever knowing. You have to turn that off manually. There’s also a <a href="https://prerender.io/blog/robots-txt-and-seo/">robots.txt</a> setting within Cloudflare’s interface that, if left at default, can block your site from appearing in multiple LLMs at once.</p>
<p class="wp-block-paragraph"><em>“Cloudflare is a very good example. You just set it up, and you’re like, ‘Okay, well, I’m visible in Google, but ChatGPT doesn’t know me at all.’ It’s just because you have to turn off that button that is being activated by default.”</em></p>
<h3 class="wp-block-heading">Too Many Schema Tags</h3>
<p class="wp-block-paragraph">Last year, a widely circulated recommendation suggested that schema tags should be packed with as many attributes as possible to give AI systems more granular context. But Sylvain’s team tested this extensively. His team’s findings? Zero impact. </p>
<p class="wp-block-paragraph"><em>“As many schema attributes as possible didn’t work at all. It didn’t move the needle at all, and it hurts in the sense that this is wasted resources.”</em></p>
<p class="wp-block-paragraph">Adding <a href="https://prerender.io/blog/structured-data-for-seo/">clean and well-structured schema</a>, even if it’s just two or three attributes, will have more impact than the over-engineered version. </p>
<h3 class="wp-block-heading">Broad Topic Clusters</h3>
<p class="wp-block-paragraph">Topic clusters were a renowned content strategy a few years ago, and HubSpot was one of the brands leading the charge in this domain. They pioneered wide, low-intent content created to capture broad search volume on every topic (for example, an automotive repair shop writing blogs about what sports cars are). But now, that’s not working anymore. And in fact, it’s being penalized, both by Google and AI systems. </p>
<p class="wp-block-paragraph">Instead, it’s best to have detailed product pages filled with unique insights, experience, and expertise—a development of the EEAT model. Otherwise, you’ll see low traffic, poor conversions, and content efforts that cost significantly more than they return.</p>
<figure class="wp-block-embed is-type-video is-provider-youtube wp-block-embed-youtube wp-embed-aspect-9-16 wp-has-aspect-ratio"><div class="wp-block-embed__wrapper">
<iframe title="Why topic clusters are a failing content strategy for AI search" width="540" height="960" src="https://www.youtube.com/embed/X3UTMLWk_Pk?feature=oembed" frameborder="0" allow="accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share" referrerpolicy="strict-origin-when-cross-origin" allowfullscreen></iframe>
</div></figure>
<h2 class="wp-block-heading">Tips for Brands to Show Up in AI Search, According to HubSpot</h2>
<p class="wp-block-paragraph">Most of this conversation happened in the context of HubSpot, a brand with enormous authority built over more than a decade. So the natural question: what do you do if you don’t have that?</p>
<p class="wp-block-paragraph">Sylvain has a few suggestions for brands of all sizes:</p>
<ol class="wp-block-list">
<li><strong>Start with fewer pages, not more. </strong>Make every one of them genuinely useful with authored content, real perspectives, and actual data points. </li>
</ol>
<ol start="2" class="wp-block-list">
<li><strong>Get crawlable. </strong>Check your robots.txt, fix your Cloudflare settings, minimize JavaScript roadblocks (you can use a solution like <a href="https://prerender.io/">Prerender.io</a> for this), and submit proper sitemaps. Make sure Google knows you exist because right now, Google’s index is still the backbone of how most AI systems find content.</li>
</ol>
<ol start="3" class="wp-block-list">
<li><strong>Monitor signals that AI users are finding you. </strong>For example, unusual long-tail queries in Google Search Console that make no sense for a standard search, but perfectly match the conversational prompt someone might type into an AI tool. Build more content around what you find.</li>
</ol>
<p class="wp-block-paragraph"><em>“When you see something that is working—meaning you’re starting to notice different sorts of traffic coming in, or very long-tail keywords in Google Search Console that would make zero sense in a regular search—maybe that’s something that interests AI users. This is maybe something you should create content for.”</em></p>
<h2 class="wp-block-heading">Where Will AI Search Go in the Next 12 Months?</h2>
<p class="wp-block-paragraph">Sylvain shares two developments that he thinks will get the most attention in the next year or so.</p>
<ol class="wp-block-list">
<li><strong>Agentic search. </strong>If Google I/O is any signal (the word “agentic” appeared every two minutes), the next phase of AI search goes beyond answering questions. It’s completing tasks like booking a restaurant, filling out a form, or handling a support ticket. For brands, this means visibility won’t just be about getting cited in answers. It’ll be about being <a href="https://prerender.io/blog/how-to-optimize-enterprise-site-for-agentic-ai/">accessible enough for an agent</a> to act on your behalf. <br></li>
<li><strong>The LLM power shift.</strong> The Q1 2026 State of AI Search report from Datos and SparkToro showed Claude’s user share jumping from around 3.5% to nearly 8.7% in the US, and close to 10% in Europe. ChatGPT’s dominance is eroding while Gemini is growing. This matters for AEO because different AI platforms use different search indices, and multi-platform discovery continues to be important.</li>
</ol>
<figure class="wp-block-embed is-type-video is-provider-youtube wp-block-embed-youtube wp-embed-aspect-9-16 wp-has-aspect-ratio"><div class="wp-block-embed__wrapper">
<iframe title="What is agentic AI? A definition for non-technical people" width="540" height="960" src="https://www.youtube.com/embed/4P5krbTab2k?feature=oembed" frameborder="0" allow="accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share" referrerpolicy="strict-origin-when-cross-origin" allowfullscreen></iframe>
</div></figure>
<h2 class="wp-block-heading">Key Takeaways</h2>
<p class="wp-block-paragraph">Ultimately, HubSpot isn’t winning at AI search by following what they did with traditional SEO. And they’re not abandoning their SEO fundamentals, either. This conversation highlights that the secret to success for any new channel is to constantly experiment. Test and refine what’s working, what’s not, and pivot accordingly. </p>
<p class="wp-block-paragraph">It also suggests that we’re going back to first principles. Maintain your authority, be unique, and use original insights—not just AI-generated summaries—to ensure you stay relevant. There’s no shortcut to genuine authority. </p>
<p class="wp-block-paragraph">Lastly, while there’s no shortcut to authority, there are a lot of ways to accidentally block the authority you’ve already built from being seen. Fix the technical barriers first, and build real content second. Measure what you can, acknowledge what you can’t, and keep on experimenting.</p>
<h2 class="wp-block-heading">Tune Into the Full Conversation</h2>
<p class="wp-block-paragraph">Listen to the full episode of the <em>Get Discovered</em> podcast wherever you get your podcasts. Subscribe so you don’t miss future episodes with marketing and SEO leaders navigating the AI discovery challenge in real time.</p>
<p class="wp-block-paragraph">To connect with Sylvain, <a href="https://www.linkedin.com/in/sylvaincharbit/?locale=en">find him on LinkedIn</a>, <a href="https://x.com/scharbitjrs?lang=en">Twitter</a>, his <a href="https://www.sylvaincharbit.com/">website</a>, or check out his work at <a href="http://hubspot.com/">HubSpot</a>. </p>
<figure class="wp-block-embed is-type-rich is-provider-spotify wp-block-embed-spotify wp-embed-aspect-21-9 wp-has-aspect-ratio"><div class="wp-block-embed__wrapper">
<iframe title="Spotify Embed: What HubSpot Knows About AI Search: Sylvain Charbit, Lead AI Search Strategist at HubSpot" style="border-radius: 12px" width="100%" height="152" frameborder="0" allowfullscreen allow="autoplay; clipboard-write; encrypted-media; fullscreen; picture-in-picture" loading="lazy" src="https://open.spotify.com/embed/episode/2R8WsMwJEioZqbWhxE7Uki?si=O020ugXHQRiu7d9O7qhtwQ&utm_source=oembed"></iframe>
</div></figure>
<h2 class="wp-block-heading">About Prerender.io</h2>
<p class="wp-block-paragraph">Prerender.io is a leading SEO solution that helps modern websites ensure their JavaScript-heavy pages are fully visible to search engines and AI tools. Trusted by companies like Microsoft, Salesforce, and Walmart, Prerender.io is the go-to partner for businesses navigating the future of SEO and AI-driven discoverability. <a href="https://prerender.io/pricing/" target="_blank" rel="noreferrer noopener">Start for free today or talk to sales for an enterprise solution</a>.</p>
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<div class="wp-block-button"><a class="wp-block-button__link has-white-color has-text-color has-background has-link-color wp-element-button" href="https://prerender.io/pricing/" style="border-radius:0px;background-color:#1f8511">Try Prerender.io For Free</a></div>
</div>
<p class="wp-block-paragraph"></p>
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<title>How to Prepare Your Enterprise Website for Agentic AI</title>
<link>https://prerender.io/blog/how-to-optimize-enterprise-site-for-agentic-ai/</link>
<dc:creator><![CDATA[Prerender]]></dc:creator>
<pubDate>Thu, 21 May 2026 06:42:15 +0000</pubDate>
<category><![CDATA[AI SEO]]></category>
<category><![CDATA[Enterprise SEO]]></category>
<guid isPermaLink="false">https://prerender.io/?p=9274</guid>
<description><![CDATA[Find out how to get your enterprise website ready for agentic AI by improving visibility, access, and usability for AI agents driving transactions.]]></description>
<content:encoded><![CDATA[
<p class="wp-block-paragraph">AI agents for ecommerce are already completing B2B procurement workflows autonomously: filtering catalogs, comparing specifications, and initiating purchase orders without a human in the loop. If your enterprise site can’t return usable HTML on first request, those AI agents leave and convert on a competitor’s site instead.</p>
<p class="wp-block-paragraph">Bain estimates U.S. agentic commerce could reach $300 billion to $500 billion by <a href="https://www.bain.com/insights/2030-forecast-how-agentic-ai-will-reshape-us-retail-snap-chart/" type="link" id="https://www.bain.com/insights/2030-forecast-how-agentic-ai-will-reshape-us-retail-snap-chart/" target="_blank" rel="noreferrer noopener nofollow">2030</a>. The procurement workflows driving that figure are already active. So for large enterprise sites built on JavaScript frameworks, this is a serious revenue problem.</p>
<p class="wp-block-paragraph">This article maps the SEO hurdles that prevent enterprise agentic AI from completing workflows on your site and their commercial consequences at each stage.</p>
<h2 class="wp-block-heading">TL;DR: The 5-Step Enterprise Agentic AI Website Preparation Sequence</h2>
<p class="wp-block-paragraph">Enterprise sites lose agentic transactions at five points, in this order:</p>
<ol class="wp-block-list">
<li><strong>The AI agent is blocked before it arrives</strong>: robots.txt rules built for training crawlers are now blocking transactional agents.</li>
<li><strong>The AI agent hits a blank page</strong>: JavaScript-heavy pages return empty HTML to agents that can’t execute scripts.</li>
<li><strong>The AI agent can’t navigate</strong>: poor semantic structure leaves agents without a path through large catalogs.</li>
<li><strong>The AI agent can’t interpret the content</strong>: HTML parsing overhead causes spec errors, price misreads, and availability failures.</li>
<li><strong>The AI agent can’t complete the transaction</strong>: multi-step procurement flows built for browsers have no interface for agents.</li>
</ol>
<p class="wp-block-paragraph">Each failure point relies on the previous one. No fixes later in the process are effective until the rendering layer functions properly. This is also the order we follow in this article.</p>
<h2 class="wp-block-heading">Agentic AI vs. Generative AI: Why Enterprise Sites Face a Different Problem</h2>
<div class="wp-block-image">
<figure class="aligncenter size-full"><img loading="lazy" decoding="async" width="624" height="351" src="https://prerender.io/wp-content/uploads/Agentic-AI-vs.-Generative-AI.jpg" alt="Agentic AI vs. Generative AI" class="wp-image-9278" srcset="https://prerender.io/wp-content/uploads/Agentic-AI-vs.-Generative-AI.jpg 624w, https://prerender.io/wp-content/uploads/Agentic-AI-vs.-Generative-AI-300x169.jpg 300w" sizes="(max-width: 624px) 100vw, 624px" /></figure>
</div>
<p class="wp-block-paragraph">The distinction between agentic AI vs. generative AI determines what category of problem you actually have.</p>
<p class="wp-block-paragraph"><strong>Generative AI systems</strong>, such as the crawlers behind ChatGPT, Perplexity, and Google AI Overviews, primarily visit your site to extract information. When they miss a page or misread a product description, the cost is <a href="https://prerender.io/blog/how-to-get-indexed-on-ai-platforms/" type="link" id="https://prerender.io/blog/how-to-get-indexed-on-ai-platforms/">reduced presence in AI-generated answers</a>. This is a citation and visibility problem.</p>
<p class="wp-block-paragraph"><strong>Agentic AI systems</strong>, on the other hand, visit your site to execute tasks. An AI agent acting on behalf of a procurement manager might filter a product catalog, compare vendor specifications, check pricing, and initiate a purchase order, all without a human in the loop.</p>
<p class="wp-block-paragraph">When that process fails, the consequence is transactional. The agent moves to the next vendor it can work with and completes the purchase there. At this point, enterprise sites face the highest exposure because the gap between what agents need and what they deliver is widest at scale.</p>
<p class="wp-block-paragraph">The same factors that create excellent user experiences are also the conditions that block AI agents at each stage of the buying journey. This includes:</p>
<ul class="wp-block-list">
<li>JavaScript-heavy architectures.</li>
<li>Dynamic content.</li>
<li>Personalized catalog pages.</li>
<li>Complex checkout flows.</li>
</ul>
<p class="wp-block-paragraph"><strong>Read more: <a href="https://prerender.io/blog/ai-friendly-vs-ai-agent-friendly-websites/#elementor-toc__heading-anchor-5" type="link" id="https://prerender.io/blog/ai-friendly-vs-ai-agent-friendly-websites/#elementor-toc__heading-anchor-5">Guide to AI-friendly vs. AI-agent-friendly websites</a>.</strong></p>
<h2 class="wp-block-heading">The Failure Points: Where Enterprise Sites Lose Transactions</h2>
<p class="wp-block-paragraph">Each failure point below maps an agent’s journey through your site from entry to exit. They follow a sequence, so fixing downstream problems without addressing upstream ones accomplishes nothing, because the agent never reaches the downstream stages.</p>
<h3 class="wp-block-heading">1. The AI Agent is Blocked Before it Arrives</h3>
<p class="wp-block-paragraph">Most enterprises configured <a href="https://prerender.io/blog/robots-txt-for-ecommerce-seo/" type="link" id="https://prerender.io/blog/robots-txt-for-ecommerce-seo/">robots.txt</a> rules during the generative AI crawling wave to control how their content was used in training and summaries. That made sense at the time, when the goal was limiting visibility and protecting content from being scraped.</p>
<p class="wp-block-paragraph">However, agentic AI changes the implications of those decisions. An agent blocked by robots.txt cannot reach your content, navigate your catalog, or initiate a purchase. What was once a content governance measure is now a direct barrier to revenue.</p>
<p class="wp-block-paragraph">As a result, enterprises need to reassess their access controls. Robots.txt rules should distinguish between training crawlers and transactional agents, rather than treating them the same. At the same time, emerging standards like llms.txt point toward a more granular approach to managing how AI systems access and interact with site content.</p>
<p class="wp-block-paragraph">Where robots.txt was designed for a world of human browsers and search engine crawlers, llms.txt allows site owners to specify which content is available for AI summarisation versus transactional access: a distinction robots.txt was never designed to make.</p>
<h3 class="wp-block-heading">2. The AI Agent Hits a Blank Page</h3>
<p class="wp-block-paragraph">This is the most common failure in enterprise agentic AI, making every other optimization irrelevant if left unaddressed.</p>
<p class="wp-block-paragraph">Many modern enterprise sites are built on <a href="https://prerender.io/blog/angularjs-pros-cons-and-optimization/" type="link" id="https://prerender.io/blog/angularjs-pros-cons-and-optimization/">JavaScript rendering frameworks</a>. The initial HTML payload these frameworks return contains little meaningful content. Product descriptions, pricing, availability, and filters all load dynamically after JavaScript executes. For a human browser, the process is invisible, but for AI agents making an HTTP request without a headless browser, the page arrives empty.</p>
<p class="wp-block-paragraph">This is the AI agents and JavaScript rendering compatibility problem at the center of agentic commerce: the transaction collapses before it starts.</p>
<p class="wp-block-paragraph">At enterprise scale, this rendering gap is significant, affecting catalog, product detail, pricing, and checkout pages, which are all typically rendered client-side and effectively invisible to agents that can’t execute JavaScript.</p>
<p class="wp-block-paragraph">This can be solved at the infrastructure level without architectural changes or framework migrations, <a href="https://prerender.io/blog/other-rendering-options-vs-prerendering/" type="link" id="https://prerender.io/blog/other-rendering-options-vs-prerendering/">using prerendering</a>—more on that in the next section.</p>
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<div class="wp-block-button"><a class="wp-block-button__link wp-element-button" href="https://auth.prerender.io/auth/realms/prerender/protocol/openid-connect/registrations?client_id=prerender-frontend&response_type=code&scope=openid%20email&redirect_uri=https://dashboard.prerender.io/integration-wizard&_gl=1*16wzsn*_gcl_au*MTM3MTk0ODIyOS4xNzczNzI0MzY3*_ga*MTM3NDU1ODIzNC4xNzMxOTk4MzUx*_ga_5C99FX76HR*czE3Nzg2ODAzNzYkbzI4MCRnMCR0MTc3ODY4MDM5NCRqNDIkbDAkaDU0ODY2MjYwMw..">Try Prerender.io for free</a></div>
</div>
<h3 class="wp-block-heading">3. The AI Agent Can’t Navigate to the Right Page</h3>
<p class="wp-block-paragraph">Rendered content solves the reading problem, but agents also need to navigate enterprise sites with hundreds of thousands of URLs. This navigation depends on semantic HTML.</p>
<p class="wp-block-paragraph">Semantic HTML for AI is how agents understand page hierarchy and relationships. Tags like <code><mark style="background-color:#282a36" class="has-inline-color has-white-color"><code><nav></code></mark></code>, <code><mark style="background-color:#282a36" class="has-inline-color has-white-color"><code><main></code></mark></code>, <code><mark style="background-color:#282a36" class="has-inline-color has-white-color"><code><article></code></mark></code>, and <code><mark style="background-color:#282a36" class="has-inline-color has-white-color"><code><section></code></mark></code>, combined with a consistent heading hierarchy, give agents a structural map of the site. Without them, the agent moves through a flat document with no landmarks.</p>
<p class="wp-block-paragraph">On small sites, poor semantic structure is a minor friction. On enterprise catalogs, it is a transaction routing failure. Agents that can’t navigate websites efficiently stall at category landing pages, fail to reach the correct product variant, or exit the session before reaching a transactable page.</p>
<p class="wp-block-paragraph">An agent shopping for a specific SKU that lands on a category page with no structural path forward doesn’t try harder; it tries your competitor. Each of those outcomes is a sale that goes to a competitor with a cleaner site structure.</p>
<h3 class="wp-block-heading">4. The AI Agent Can’t Interpret What it’s Reading</h3>
<p class="wp-block-paragraph">An agent that can read and navigate to a page still needs to understand what it is looking at. Enterprise product pages are designed for human comprehension, but agents don’t perceive any of that. They process the underlying content, and when that content arrives as raw HTML, the parsing overhead is substantial.</p>
<p class="wp-block-paragraph">A product page with three paragraphs of description also contains navigation markup, tracking scripts, class attributes, and layers of wrapper elements with no semantic value. The agent processes all of it to extract the relevant content.</p>
<p class="wp-block-paragraph">This is where Markdown for AI agents has emerged as the practical content delivery approach. Markdown strips presentational noise and leaves clean, structured content that agents can parse with significantly less overhead. <a href="https://blog.cloudflare.com/markdown-for-agents/" type="link" id="https://blog.cloudflare.com/markdown-for-agents/" target="_blank" rel="noreferrer noopener nofollow">Cloudflare’s research</a> documents that agents extract information more reliably from Markdown-formatted content than from HTML loaded with class names, nested div structures, and inline styles.</p>
<p class="wp-block-paragraph">The commercial implication is direct. An agent reading a clean Markdown version of a product page reaches the pricing, specifications, and availability faster, with fewer tokens consumed and less room for misinterpretation. At scale, that parsing overhead produces real errors: specs misread, prices misquoted, availability misreported. Across thousands of agent sessions, that compounds directly into transaction failures.</p>
<h3 class="wp-block-heading">5. The AI Agent Can’t Execute the Task</h3>
<p class="wp-block-paragraph">An agent that can reach, read, navigate, and accurately interpret your content still needs a mechanism to complete the workflow. On most enterprise sites, that mechanism doesn’t exist for agents.</p>
<p class="wp-block-paragraph">Multi-step procurement processes assume a user is managing each interaction. From form submissions to authentication handoffs and dynamic pricing confirmations, all depend on browser behavior that agents don’t replicate. So when an agent reaches the execution stage on a site built exclusively for human interaction, it encounters a structural incompatibility difficult to navigate past.</p>
<p class="wp-block-paragraph">The commercial consequence of this is that an agent that completes every prior stage and then fails at execution is a completed sales process that generates no revenue. The agent invested the full workflow on your site and converted on a competitor site.</p>
<p class="wp-block-paragraph">At enterprise scale, across B2B procurement workflows where purchase order values are significant, that failure repeats silently across every agent-driven session your site can’t complete.</p>
<p class="wp-block-paragraph">This is where a <a href="https://www.anthropic.com/news/model-context-protocol" type="link" id="https://www.anthropic.com/news/model-context-protocol" target="_blank" rel="noreferrer noopener nofollow">Model Context Protocol (MCP)</a> becomes commercially relevant. MCP AI protocols give agents a standardized interface to interact with external services and systems. In practice, MCP gives an agent the ability to authenticate, submit forms, trigger API calls, and confirm transactions: the programmatic equivalent of a checkout flow built for machines, not browsers. <a href="https://searchengineland.com/mcp-future-ai-search-marketing-454865" type="link" id="https://searchengineland.com/mcp-future-ai-search-marketing-454865" target="_blank" rel="noreferrer noopener nofollow">Search Engine Land</a> and <a href="https://www.wix.com/studio/ai-search-lab/agentic-ai-protocols" type="link" id="https://www.wix.com/studio/ai-search-lab/agentic-ai-protocols" target="_blank" rel="noreferrer noopener nofollow">Wix’s AI Search Lab</a> confirm that MCP is rapidly becoming the baseline expectation for transactional agentic interactions.</p>
<h2 class="wp-block-heading">Why Enterprise Agentic AI Optimization Starts with Prerendering</h2>
<p class="wp-block-paragraph">ChatGPT Operator, SAP Joule, and agents built on Salesforce Agentforce and Coupa are already executing workflows that include vendor evaluation and purchase initiation. Site accessibility now directly influences whether a vendor is considered at all.</p>
<p class="wp-block-paragraph"><a href="https://prerender.io/blog/how-to-build-ai-agent-friendly-websites/" type="link" id="https://prerender.io/blog/how-to-build-ai-agent-friendly-websites/">Prerendering for AI agents</a> is how JS-dependent enterprise sites re-enter these workflows—and Prerender.io is where that starts.</p>
<p class="wp-block-paragraph"><a href="https://prerender.io" type="link" id="https://prerender.io">Prerender.io</a> operates as a middleware layer between incoming agent requests and your website. When an agent requests a page, it intercepts the request, executes your JavaScript, and returns a fully rendered HTML snapshot without architectural changes or framework migrations. It integrates with any existing JavaScript stack and supports large-scale environments through cache control, crawl budget management, and selective rendering rules.</p>
<p class="wp-block-paragraph">On, a global premium sportswear brand operating across more than 60 countries, ran into this exact problem during a major front-end update in 2023.</p>
<p class="wp-block-paragraph">JavaScript rendering failures cascaded across every revenue channel simultaneously, <a href="https://prerender.io/blog/how-to-fix-disapproved-google-ads/" type="link" id="https://prerender.io/blog/how-to-fix-disapproved-google-ads/">Google Shopping Ads disapprovals</a>, indexing failures across global markets, and <a href="https://prerender.io/blog/how-to-fix-link-previews/" type="link" id="https://prerender.io/blog/how-to-fix-link-previews/">broken social previews</a>. Server-side rendering would have taken months of engineering work and pulled the development team off the product roadmap. Prerender.io was implemented instead. These are the results over three years:</p>
<ul class="wp-block-list">
<li>+67% increase in Google organic traffic.</li>
<li>+98% increase in Bing traffic.</li>
<li>Up to $1M in annual Google Ad revenue protected.</li>
<li>Millions of dollars saved annually versus the SSR alternative.</li>
</ul>
<p class="wp-block-paragraph"><strong><a href="https://prerender.io/resources/case-studies/on-prerender/" type="link" id="https://prerender.io/resources/case-studies/on-prerender/">Read the full case study</a>.</strong></p>
<div class="wp-block-image">
<figure class="aligncenter size-full"><img loading="lazy" decoding="async" width="624" height="351" src="https://prerender.io/wp-content/uploads/Prerender.io-case-study-results.jpg" alt="Prerender.io case study results" class="wp-image-9294" srcset="https://prerender.io/wp-content/uploads/Prerender.io-case-study-results.jpg 624w, https://prerender.io/wp-content/uploads/Prerender.io-case-study-results-300x169.jpg 300w" sizes="(max-width: 624px) 100vw, 624px" /></figure>
</div>
<p class="wp-block-paragraph"><em>“Prerender.io offers the strongest combination of stability, speed, and value.”</em> — Marilena Pixner, Senior Organic Growth and SEO Specialist, On</p>
<blockquote class="wp-block-quote is-layout-flow wp-block-quote-is-layout-flow">
<blockquote class="wp-block-quote is-layout-flow wp-block-quote-is-layout-flow">
<p class="wp-block-paragraph"></p>
</blockquote>
</blockquote>
<h2 class="wp-block-heading">Final Thoughts on Agentic AI Optimization for Enterprise Websites</h2>
<p class="wp-block-paragraph">Agentic commerce is already operational. The five failure points above are the full sequence: fix them in order, starting with rendering, and enterprise sites re-enter procurement workflows they’re currently excluded from. Skip the sequence or start in the middle, and optimization is happening on a path no agent travels.</p>
<p class="wp-block-paragraph">Let Prerender.io be where your preparation starts. It won’t solve every failure point above, but without it, none of the others are reachable.</p>
<p class="wp-block-paragraph"><strong><a href="https://prerender.io" type="link" id="https://prerender.io">Get started with Prerender.io</a> today and secure your website’s accessibility to agent-driven workflows.</strong></p>
<h2 class="wp-block-heading">Enterprise Agentic AI: Frequently Asked Questions</h2>
<h3 class="wp-block-heading">1. Why Can’t AI Agents Render JavaScript?</h3>
<p class="wp-block-paragraph">AI agents make a basic HTTP request and process whatever the server returns immediately: no browser, no script execution, no waiting. On <a href="https://prerender.io/blog/how-to-build-ai-agent-friendly-websites/" type="link" id="https://prerender.io/blog/how-to-build-ai-agent-friendly-websites/">enterprise JavaScript-heavy sites</a>, that first response is near-empty HTML. Pricing, availability, and product content that loads dynamically never arrive. The agent reads a blank page and exits.</p>
<h3 class="wp-block-heading">2. How Does Agentic Search Differ From Traditional AI Search?</h3>
<p class="wp-block-paragraph">Traditional AI search—ChatGPT, Perplexity, Google AI Overviews—retrieves and summarises information. The output is an answer. Agentic search evaluates options and completes a task on the user’s behalf. The output is an action, usually a transaction. A visibility failure in traditional search costs you a citation. A failure in agentic search costs you the sale.</p>
<h3 class="wp-block-heading">3. How Can Enterprise Websites Prepare for AI Agents?</h3>
<p class="wp-block-paragraph">In sequence: unblock agent access via robots.txt and llms.txt, solve the rendering layer so JS-heavy pages return complete HTML, add semantic structure so agents can navigate your catalog, clean up your content layer for machine readability, then expose procurement workflows through APIs or MCP. Each step depends on the one before it: the rendering layer has to come first.</p>
<h3 class="wp-block-heading">4. What is Prerendering for AI Agents?</h3>
<p class="wp-block-paragraph">It means generating fully rendered HTML versions of JavaScript-dependent pages so agents receive complete content on first request (product descriptions, pricing, availability) rather than an empty shell. <a href="https://docs.prerender.io" type="link" id="https://docs.prerender.io">See how Prerender.io handles this technically.</a></p>
<h3 class="wp-block-heading">5. What is the Commercial Risk of Ignoring Enterprise Agentic AI Optimization?</h3>
<p class="wp-block-paragraph">Silent, ongoing transaction loss that doesn’t appear in standard analytics. Agents that can’t interact with your site don’t bounce visibly; they exit and convert with a competitor. At enterprise scale, across B2B procurement workflows with significant order values, that failure repeats across every agent-driven session your site can’t complete. Estimate what inaccessible pages are costing you with the <a href="https://prerender.io/resources/free-downloads/roi-calculator/" type="link" id="https://prerender.io/resources/free-downloads/roi-calculator/">ROI calculator</a>.</p>
<p class="wp-block-paragraph"></p>
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<item>
<title>From On-Running.com to On.com: A Conversation with Max Woelfle, SEO Lead at On</title>
<link>https://prerender.io/blog/podcast-max-woelfle-on/</link>
<dc:creator><![CDATA[Prerender]]></dc:creator>
<pubDate>Wed, 20 May 2026 10:28:05 +0000</pubDate>
<category><![CDATA[AI SEO]]></category>
<category><![CDATA[Podcast]]></category>
<category><![CDATA[agentic AI]]></category>
<category><![CDATA[ai podcasts]]></category>
<category><![CDATA[seo podcasts]]></category>
<category><![CDATA[tech podcasts]]></category>
<guid isPermaLink="false">https://prerender.io/?p=9240</guid>
<description><![CDATA[Max Woelfle, SEO Lead at On—Prerender client and one of the world's leading athletic brands—joins the Get Discovered podcast.]]></description>
<content:encoded><![CDATA[
<p class="wp-block-paragraph">A successful domain migration doesn’t mean AI models understand your brand correctly. Global sportswear brand On found that out the hard way.</p>
<p class="wp-block-paragraph">In this episode of the <em>Get Discovered </em>podcast, we sit down with Max Woelfle, SEO Team Lead at On, one of the fastest-growing athletic brands in the world and a Prerender.io client since 2023.</p>
<figure class="wp-block-image size-full"><img loading="lazy" decoding="async" width="1000" height="525" src="https://prerender.io/wp-content/uploads/on-running-1.jpg" alt="" class="wp-image-8730" srcset="https://prerender.io/wp-content/uploads/on-running-1.jpg 1000w, https://prerender.io/wp-content/uploads/on-running-1-300x158.jpg 300w, https://prerender.io/wp-content/uploads/on-running-1-768x403.jpg 768w" sizes="(max-width: 1000px) 100vw, 1000px" /></figure>
<p class="wp-block-paragraph">Together, we talk about what the brand’s move from on-running.com to on.com revealed about AI training data, entity confusion, and why the technical foundations brands lay today will determine their visibility in an agentic world.</p>
<p class="wp-block-paragraph">Watch the full episode below or read on for key takeaways.</p>
<figure class="wp-block-embed is-type-video is-provider-youtube wp-block-embed-youtube wp-embed-aspect-16-9 wp-has-aspect-ratio"><div class="wp-block-embed__wrapper">
<iframe title="From On-Running.com to On.com: A Conversation With Max Woelfle from a Global Sportswear Brand" width="640" height="360" src="https://www.youtube.com/embed/c34ia_a9t3Q?feature=oembed" frameborder="0" allow="accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share" referrerpolicy="strict-origin-when-cross-origin" allowfullscreen></iframe>
</div></figure>
<h2 class="wp-block-heading">A “Successful” Domain Migration With a Hidden Catch</h2>
<p class="wp-block-paragraph">In early 2024, On made a significant brand move by migrating from on-running.com to on.com. The two-letter domain reflected the brand’s ambition to grow beyond running into a global sports brand, and from a pure SEO standpoint, it worked. Traffic dipped for a few weeks and then bounced back to its pre-migration growth trajectory, which at the time felt like a clean win.</p>
<p class="wp-block-paragraph">About eighteen months later, though, Max’s team started noticing something strange. When they examined how AI models talked about On in isolation, looking at the base model without live retrieval, “on-running.com” still loomed large. Years of training data from Reddit threads, product reviews, and news coverage were pointing to a different domain than the one that On now calls home.</p>
<p class="wp-block-paragraph">“I didn’t, at the time, think about the training models or the training that was happening for the models,” Max explains. “And we see now how sometimes signals are blurry.”</p>
<p class="wp-block-paragraph">The underlying issue comes down to a distinction that matters far more now than it did three years ago: the difference between the training phase and the retrieval phase. When you ask ChatGPT a question today, you’re getting an answer shaped by two very different inputs. The first is the base model, which represents years of web data baked in during training that forms the model’s foundational understanding of the world. The second is live retrieval (RAG), which pulls in current information to supplement or correct what the model already “knows.”</p>
<p class="wp-block-paragraph">From a user’s perspective, these two sources are completely invisible because you get one unified answer. But underneath that answer, the base model might be pulling On toward “on-running.com” while live retrieval corrects it to <a href="http://on.com" target="_blank" rel="noreferrer noopener nofollow">“on.com</a>.” That kind of collision creates subtle inconsistencies that brands rarely catch, and especially in 2024 when Max and his team made the switch.</p>
<p class="wp-block-paragraph">“If you just look at it from a user perspective, everything looks fine,” Max says. “It doesn’t necessarily work for the entire ecosystem that is AI nowadays.”</p>
<h2 class="wp-block-heading">Three Entities, One Brand</h2>
<p class="wp-block-paragraph">The domain migration also brought a deeper issue into focus. Over the years, On had accumulated not one but three distinct entities in the training data that models were trying to reconcile: On Cloud, a popular shoe model that over time became a shorthand for the brand itself; On Running, the original brand identity; and On, where the brand is headed today.</p>
<p class="wp-block-paragraph">Reddit, product reviews, and press coverage had spent years interchangeably using all three, and models trained on that data have to make sense of it somehow. At the live interface level, they often manage it. But at the base model level, the picture gets messy.</p>
<p class="wp-block-paragraph">“If I ask ChatGPT right now, it would be ‘On,’ in parentheses, formerly known as On Running,” Max explains. “But if I really only look at the base models, very often you get this mixed up. It’s OnCloud, and that’s the company name.”</p>
<p class="wp-block-paragraph">The practical consequence goes well beyond a branding annoyance. When AI models are working with confused or conflicting entity information, errors multiply across the answers they generate: incorrect headquarters locations, missing product attributions, and wrong contact information. That last one is where the problem becomes a real consumer issue.</p>
<h2 class="wp-block-heading">Why Incorrect AI Answers Are a Real Consumer Problem</h2>
<p class="wp-block-paragraph">Consider the scenario Max raised: a customer wants to file a warranty claim and asks ChatGPT for On’s warranty contact number. If the underlying data is wrong, or if the most accurate version of that information lives on a JavaScript-heavy page that AI crawlers couldn’t process, that customer gets the wrong number and has nowhere obvious to turn.</p>
<p class="wp-block-paragraph">“There’s a consumer at the other side that wants to return a shoe,” Max says. “They will just take the ChatGPT answer for face value, and it’s our job to fix that.”</p>
<p class="wp-block-paragraph">This is where JavaScript rendering—and a solution like Prerender.io—enters the picture, says Max. Many brands store their most current, accurate information, covering things like headquarters, contact details, product specs, and return policies, on pages that are heavily client-side rendered. Google has spent years building a crawler sophisticated enough to handle most JavaScript, but AI crawlers haven’t yet matched that pace. It’s why Max and his team at On have been using Prerender.io since 2023.</p>
<figure class="wp-block-embed is-type-video is-provider-youtube wp-block-embed-youtube wp-embed-aspect-9-16 wp-has-aspect-ratio"><div class="wp-block-embed__wrapper">
<iframe title="AI crawlers can't always process JavaScript: why On uses Prerender.io" width="540" height="960" src="https://www.youtube.com/embed/adHoOdY_mMc?feature=oembed" frameborder="0" allow="accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share" referrerpolicy="strict-origin-when-cross-origin" allowfullscreen></iframe>
</div></figure>
<p class="wp-block-paragraph">The result is that a brand’s most recent and most accurate information may be completely invisible to the models that millions of people are now asking for recommendations and answers, while the static, older version of that information, from before a rebrand, a move, or a policy change, gets baked into the training data instead.</p>
<p class="wp-block-paragraph">This gap is particularly wide for smaller or faster-growing companies. Brands the size of Nike are referenced by so many third-party sources that any single source of confusion tends to get corrected naturally. A brand that has been growing fast for the last five years, with most of its accurate information living on a modern JavaScript stack, is far more exposed to this problem.</p>
<p class="wp-block-paragraph"><em><strong>Further reading:</strong> <a href="https://prerender.io/resources/case-studies/on-prerender/" target="_blank" rel="noreferrer noopener">How On Saves Millions Per Year with Prerender.io</a></em></p>
<h2 class="wp-block-heading">Measuring Organic Growth When the Click Disappears</h2>
<p class="wp-block-paragraph">Alongside the AI visibility challenge, Max is grappling with a measurement problem that every organic growth team is now facing (and one we’ve explored at length on this podcast): how do you demonstrate the value of search when AI conversations don’t generate clicks?</p>
<p class="wp-block-paragraph">The old model had a comfortable, if imperfect, logic to it. You could trace a reasonably clear line from impressions in Search Console through click-through rates to sessions on the website and eventually to revenue. That model is now fragmenting because the discovery phase, the moment when someone decides which brand to actually consider, has increasingly moved into AI conversations that leave no footprint in your analytics.</p>
<p class="wp-block-paragraph">“We know that people are prompting and having conversations with AI, and we know roughly how many users ChatGPT has,” Max explains. “But we have no reliable way of measuring that because the only people who have that data are the likes of ChatGPT and Claude.”</p>
<p class="wp-block-paragraph">On has started running display ads on ChatGPT, which at least generates impression data tied loosely to conversation topics. Max also uses a simple proxy to make the scale legible internally: if roughly 1% of AI conversations result in a click-out based on available signals, then 1,000 sessions from AI on your site implies around 100,000 conversations where your brand came up. That’s not a precise measurement, but it’s a useful order-of-magnitude reality check for stakeholders who are used to thinking in clicks.</p>
<p class="wp-block-paragraph">The harder internal challenge is making the case for investment when the raw traffic numbers from AI channels are smaller than what Bing drives. It takes real work to argue that a channel with modest visible traffic deserves serious attention. Studies show that <a href="https://prerender.io/blog/niklas-buschner-from-radyant/">AI search contributes to pipeline 15x-30x more</a> than you think.</p>
<p class="wp-block-paragraph">“You have to at one point say that we don’t know exact numbers,” Max says. “But I do think it’s a fair assumption to say: if we don’t show up in any of the prompts around this topic, we won’t be showing up in any of the conversations around this topic.”</p>
<p class="wp-block-paragraph"><em><strong>Further reading:</strong> </em><a href="https://prerender.io/blog/common-mistakes-on-javascript-ecommerce-sites/" target="_blank" rel="noreferrer noopener"><em>5 Common Mistakes on JavaScript Ecommerce Sites</em></a></p>
<h2 class="wp-block-heading">Who Owns AI Discovery Inside a Brand?</h2>
<p class="wp-block-paragraph">One of the more practically useful threads in this conversation is about organizational structure. AI discovery cuts across SEO, product, engineering, PR, and analytics, and in most companies, nobody has formally claimed ownership of it.</p>
<p class="wp-block-paragraph">At On, Max explains how the company has overhauled this entirely in a year-long test. Now, his team is known as the Organic Growth team internally, rather than simply SEO. He explains that they’re the coordinating layer that brings stakeholders together without trying to own everything. In the same way that his team once managed shopping feeds by connecting developers, product managers, and data owners, they are now doing the same for GEO and AI visibility, acting as the connective tissue rather than the sole executor.</p>
<p class="wp-block-paragraph">“The idea is that all of this will turn into business as usual,” Max says. “Discovery should be addressed by the whole company anyway.”</p>
<p class="wp-block-paragraph">In practice at On, this means PR teams are becoming more digitally minded on how brand activity translates into AI-accessible signals, analytics teams are taking on prompt monitoring as a standard function, and developers increasingly understand why server-side rendering matters for AI crawlers. The Organic Growth team is not large enough to do all of it, but it can set the standards and make sure the right people are connected to each other.</p>
<h2 class="wp-block-heading">Agentic Commerce: Build the Foundation Now, Even If Volume Is Low</h2>
<p class="wp-block-paragraph">To conclude, the conversation turned to something that is still more future than present, though perhaps not by as much as people assume.</p>
<p class="wp-block-paragraph"><a href="https://prerender.io/blog/how-to-build-ai-agent-friendly-websites/" target="_blank" rel="noreferrer noopener">Agentic commerce</a> is the idea that AI agents will eventually shop on behalf of consumers, researching, comparing, and purchasing without the human ever visiting a brand’s website. Max is clear that mass-market adoption is not coming tomorrow—something that <a href="https://prerender.io/blog/marius-meiners-peec-ai/" target="_blank" rel="noreferrer noopener">Marius Meiners, CEO of Peec AI, also echoed on the Get Discovered podcast</a>—but he is equally clear that waiting for it to arrive before preparing is the wrong approach.</p>
<p class="wp-block-paragraph">His analogy is a useful one. When did you first buy something on your phone? For most people, it was well after the iPhone made it technically possible, because the technology was ready years before consumers trusted it enough to act on it. Agentic commerce is in a similar early phase, technically feasible for a small group of early adopters but nowhere near mainstream.</p>
<p class="wp-block-paragraph">“I don’t think it comes as fast as the companies that are thinking about going public wanted us to believe,” Max says. “But we need to make sure the technical possibilities are there. The same way that you have to have your website crawlable, the same way you should have your products shoppable in an agentic world.”</p>
<figure class="wp-block-embed is-type-video is-provider-youtube wp-block-embed-youtube wp-embed-aspect-9-16 wp-has-aspect-ratio"><div class="wp-block-embed__wrapper">
<iframe title="How to prepare for agentic commerce? Get your technical foundations in place" width="540" height="960" src="https://www.youtube.com/embed/cIHgFTpOqjI?feature=oembed" frameborder="0" allow="accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share" referrerpolicy="strict-origin-when-cross-origin" allowfullscreen></iframe>
</div></figure>
<p class="wp-block-paragraph">For On, that means treating agentic commerce the way good engineering teams treat infrastructure: build it correctly even when the usage numbers are modest, so there is a foundation to iterate on. Ten agentic conversions this year still give you a year-over-year baseline for next year, which is more than you have if you wait.</p>
<p class="wp-block-paragraph">In Max’s perspective, the brands that will win in an agentic world are not the ones that react when the volume arrives. They’re the ones that made themselves technically visible, entity-clear, and crawlable long before.</p>
<h2 class="wp-block-heading">Tune Into the Full Conversation</h2>
<p class="wp-block-paragraph">Listen to the full episode of the <em>Get Discovered</em> podcast wherever you get your podcasts. Subscribe so you don’t miss future episodes with marketing and SEO leaders navigating the AI discovery challenge in real time.</p>
<p class="wp-block-paragraph">To connect with Max, you can find him on <a href="https://www.linkedin.com/in/max-woelfle-444354b/" target="_blank" rel="noreferrer noopener nofollow">LinkedIn</a>. Learn more about On at <a href="http://on.com" target="_blank" rel="noreferrer noopener">on.com</a>. </p>
<figure class="wp-block-embed is-type-rich is-provider-spotify wp-block-embed-spotify wp-embed-aspect-21-9 wp-has-aspect-ratio"><div class="wp-block-embed__wrapper">
<iframe title="Spotify Embed: From On-Running.com to On.com: Max Woelfle, SEO Lead at a Global Sportswear Brand" style="border-radius: 12px" width="100%" height="152" frameborder="0" allowfullscreen allow="autoplay; clipboard-write; encrypted-media; fullscreen; picture-in-picture" loading="lazy" src="https://open.spotify.com/embed/episode/6ZgVjbwbKBY69OFqegu5Io?si=svNYkY6ySYGrF--C-pAnNQ&utm_source=oembed"></iframe>
</div></figure>
<h2 class="wp-block-heading">About Prerender.io</h2>
<p class="wp-block-paragraph">Prerender.io is a leading SEO solution that helps modern websites ensure their JavaScript-heavy pages are fully visible to search engines and AI tools. Trusted by companies like Microsoft, Salesforce, and Walmart, Prerender is the go-to partner for businesses navigating the future of SEO and AI-driven discoverability. <a href="https://prerender.io/pricing/" target="_blank" rel="noreferrer noopener">Start for free today or talk to sales for an Enterprise solution</a>.</p>
<div class="wp-block-buttons is-content-justification-center is-layout-flex wp-container-core-buttons-is-layout-fe48e5de wp-block-buttons-is-layout-flex">
<div class="wp-block-button"><a class="wp-block-button__link has-white-color has-text-color has-background has-link-color wp-element-button" href="https://prerender.io/pricing/" style="border-radius:0px;background-color:#1f8511">Try Prerender.io For Free</a></div>
</div>
<p class="wp-block-paragraph"></p>
]]></content:encoded>
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<item>
<title>Why AI Contributes to Pipeline 15-30x More Than You Think: Niklas Buschner, CEO of Radyant</title>
<link>https://prerender.io/blog/niklas-buschner-from-radyant/</link>
<dc:creator><![CDATA[Prerender]]></dc:creator>
<pubDate>Wed, 06 May 2026 13:57:48 +0000</pubDate>
<category><![CDATA[AI SEO]]></category>
<category><![CDATA[Podcast]]></category>
<category><![CDATA[agentic AI]]></category>
<category><![CDATA[ai podcasts]]></category>
<category><![CDATA[seo podcasts]]></category>
<category><![CDATA[tech podcasts]]></category>
<guid isPermaLink="false">https://prerender.io/?p=8300</guid>
<description><![CDATA[Niklas Buschner, host of the Masters of Search podcast and CEO of Radyant, joins the Get Discovered podcast.]]></description>
<content:encoded><![CDATA[
<p class="wp-block-paragraph">Most marketing teams still treat AI search as a channel to monitor. But it should be something more than that, says Niklas Buschner, founder and CEO of Radyant.<br><br>Radyant is one of Europe’s leading growth agencies focused on SEO and AI search. He also hosts the <em>Masters of Search</em> podcast, a top SEO podcast where he interviews growth leaders from companies like Wise, Miro, and Eleven Labs. </p>
<p class="wp-block-paragraph">In this episode of the <a href="https://prerender.io/podcast/"><em>Get Discovered</em> podcast</a>, Niklas sat down with host Joe Walsh to talk about the real scale of AI search, why your analytics are badly understating its contribution to pipeline, and what it actually takes to measure discovery when the click doesn’t happen.</p>
<p class="wp-block-paragraph">Watch the full episode below or read on for key takeaways.</p>
<figure class="wp-block-embed is-type-video is-provider-youtube wp-block-embed-youtube wp-embed-aspect-16-9 wp-has-aspect-ratio"><div class="wp-block-embed__wrapper">
<iframe title="Why AI Contributes to Pipeline 15-30x More Than You Think: Niklas Buschner from Radyant" width="640" height="360" src="https://www.youtube.com/embed/7gunIOvRn4Y?feature=oembed" frameborder="0" allow="accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share" referrerpolicy="strict-origin-when-cross-origin" allowfullscreen></iframe>
</div></figure>
<h2 class="wp-block-heading">AI Search Is Already at 20% of Google’s Volume </h2>
<p class="wp-block-paragraph">The data point that anchors this conversation comes from a study by Ethan Smith at Graphite (or, you can also <a href="https://prerender.io/blog/ai-is-bigger-than-you-think-ethan-smith-graphite/">tune into his Get Discovered podcast</a> directly). </p>
<p class="wp-block-paragraph">Using SimilarWeb data, Smith <a href="https://graphite.io/five-percent/ai-is-much-bigger-than-you-think">compared web traffic to top AI chatbots</a> (ChatGPT, Perplexity, Gemini, and Claude) against Google’s overall traffic volume. His finding so far? AI search is already pulling roughly 20% of classic search volume.</p>
<p class="wp-block-paragraph">That number will surprise a lot of people, but Niklas isn’t surprised.</p>
<p class="wp-block-paragraph"><strong>“A lot of people still perceive AI search as being hype and being niche,” </strong>he says. <strong>“And I think this is just not true.”</strong></p>
<p class="wp-block-paragraph">Google has AI interfaces baked into its own search experience, and cleanly separating “classic Google” from “Google with AI Overviews” in traffic data remains genuinely difficult. But the directional truth is hard to argue. A channel that barely existed three years ago is now operating at significant scale, and it’s only projected to grow.</p>
<p class="wp-block-paragraph"><strong>“You have to look at this new reality and accept its significance,”</strong> Niklas says. <strong>“And only then you can really see what still holds and what you have to recalibrate.”</strong></p>
<p class="wp-block-paragraph"><em><strong>Further reading:</strong> </em><a href="https://prerender.io/blog/industry-study-how-ai-retrieves-content/"><em>Industry Study: What 100M+ Pages Reveal About How AI Chooses Your Content</em></a></p>
<h2 class="wp-block-heading">Why Your Analytics Are Understating AI Search Contribution by 15-30x</h2>
<p class="wp-block-paragraph">Even as AI search grows, most measurement systems are capturing almost none of it. But Niklas’s agency has tracked this gap systematically across its entire client portfolio. </p>
<p class="wp-block-paragraph">They compare two data points: click-based attribution (what Google Analytics or HubSpot records as referred traffic from AI platforms) against self-reported attribution (asking leads and customers directly how they found you).</p>
<p class="wp-block-paragraph">The gap is a big one. His data shows that analytics tools understate AI search’s contribution to pipeline by 15 to 30 times.</p>
<p class="wp-block-paragraph">This is structural, he says. For now, AI platforms aren’t incentivized to send users a click. So, the typical user journey looks like this: </p>
<ul class="wp-block-list">
<li>Open ChatGPT</li>
<li>Ask for a tool recommendation </li>
<li>Get an answer </li>
<li>Close the chat </li>
<li>Type the brand name directly into Google</li>
</ul>
<p class="wp-block-paragraph">And by the time the user arrives on your site, it registers as branded organic search or branded paid search. The AI channel is completely invisible.</p>
<p class="wp-block-paragraph"><strong>“The platforms are not really incentivized for a click-out,”</strong> Niklas explains. <strong>“You end up with a click-based attribution that says paid search. But if you ask people how they found you, they’ll tell you ChatGPT.”</strong></p>
<p class="wp-block-paragraph">As a result, the companies optimizing based on what their analytics say are likely making systematically wrong decisions about where to invest.</p>
<p class="wp-block-paragraph"><em><strong>Further reading:</strong> <a href="https://prerender.io/blog/how-to-get-indexed-on-ai-platforms/">How to Get Indexed on AI Platforms</a></em></p>
<figure class="wp-block-embed is-type-video is-provider-youtube wp-block-embed-youtube wp-embed-aspect-9-16 wp-has-aspect-ratio"><div class="wp-block-embed__wrapper">
<iframe title="Why Google Analytics doesn't tell the full AI story: the platforms aren't incentivized for clicks" width="540" height="960" src="https://www.youtube.com/embed/jvmnFCCWY3I?feature=oembed" frameborder="0" allow="accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share" referrerpolicy="strict-origin-when-cross-origin" allowfullscreen></iframe>
</div></figure>
<h2 class="wp-block-heading">The Three-Layer Attribution Model That Works</h2>
<p class="wp-block-paragraph">The solution Niklas recommends isn’t another attribution tool. It’s a three-layer measurement system that teams can build themselves:</p>
<p class="wp-block-paragraph"><strong>1. Click-based / cookie attribution</strong>. Keep running it. Although it’s incomplete, it still provides a useful baseline.</p>
<p class="wp-block-paragraph"><strong>2. Self-reported attribution</strong>. Add a free-text field (not a dropdown) to lead forms and post-purchase surveys. Ask: <em>“How did you hear about us?”</em> and let people write whatever they want. The key here is free text over a dropdown. Dropdowns lock you into the channels you already know about. If a new AI platform emerges, a dropdown won’t catch it. And today’s LLMs can analyze hundreds or thousands of open-text responses in minutes, so the “it’s too hard to analyze” objection no longer holds.</p>
<p class="wp-block-paragraph"><strong>3. Sales-reported attribution</strong>. Train your sales team to ask on calls: <em>“Quick question: where did you first hear about us? What were you looking for?”</em> This layer adds topical context that no form can capture. When a prospect tells a sales rep they were searching for a solution to a specific problem, that’s attribution data, a content signal, and a positioning insight all at once.</p>
<p class="wp-block-paragraph">Niklas is clear that this is about the <em>directional</em> <em>truth</em>, not perfect data.</p>
<p class="wp-block-paragraph"><strong>“I try to have a way more scrappy and less sophisticated view on that, because I do not see companies making more progress just based on a super sophisticated attribution tool they have bought.”</strong></p>
<figure class="wp-block-embed is-type-video is-provider-youtube wp-block-embed-youtube wp-embed-aspect-9-16 wp-has-aspect-ratio"><div class="wp-block-embed__wrapper">
<iframe title="You have to connect AI search to business outcomes, yet most companies aren't doing this" width="540" height="960" src="https://www.youtube.com/embed/vtS57PJpIig?feature=oembed" frameborder="0" allow="accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share" referrerpolicy="strict-origin-when-cross-origin" allowfullscreen></iframe>
</div></figure>
<h2 class="wp-block-heading">Why the “Traffic Going Up” Heuristic No Longer Works</h2>
<p class="wp-block-paragraph">For years, SEO reporting relied on a simple, convenient signal: if traffic was growing in Google Search Console, SEO was working. A blue line going from the bottom-left to the top-right was easy to show in a board meeting.</p>
<p class="wp-block-paragraph"><strong>“That was never the right way to assess the success of SEO based on growing traffic,” </strong>Niklas says. <strong>“But it was very easy to look at. And very convenient.”</strong></p>
<p class="wp-block-paragraph">Attribution has changed. This isn’t because the underlying business questions have changed, but because the easy proxy metric no longer works the way it did. The response shouldn’t be paralysis or a $30K attribution platform. According to Niklas, this should inspire us to return to first principles: what business outcome are you actually trying to drive? First, count the real outcomes and second, understand, directionally, where they’re coming from.</p>
<p class="wp-block-paragraph">For example, companies made advertising decisions for decades before Google Analytics existed. They used market research, asked customers, and tested out marketing methods with no way of precisely attributing them. That same approach, combined with today’s ability to analyze open-text responses at scale, is more than enough to make sound channel investment decisions.</p>
<p class="wp-block-paragraph"><em><strong>Further reading:</strong> <a href="https://prerender.io/blog/a-podcast-conversation-with-ryan-law-ahrefs/">Why the Golden Era of Content is Over – A Conversation with Ryan Law</a></em></p>
<h2 class="wp-block-heading">The Biggest Misconception About AI Search Right Now</h2>
<p class="wp-block-paragraph">When asked about the misconceptions he encounters most often, Niklas returns to scale.</p>
<p class="wp-block-paragraph">Many marketing leaders still believe AI search is a fringe channel that inflated during the hype cycle and will settle back to marginal significance. He thinks that belief is costing companies real pipeline.</p>
<p class="wp-block-paragraph">A second misconception is more technical but equally consequential. People ask ChatGPT why it isn’t showing their website, receive an answer they don’t understand, and conclude the whole system is a black box. In fact, Large Language Models still retrieve information from the web. They use indexes, and the content quality, authority signals, and technical foundations that made a site visible in classic search still matter. But now, they’re just filtered through an additional layer of AI reasoning about what’s most relevant to surface.</p>
<p class="wp-block-paragraph"><strong>“A lot of stuff that helped with SEO also helps with AI search. But you have to accept the significance of this new reality first.”</strong></p>
<p class="wp-block-paragraph"><em><strong>Further reading:</strong></em><a href="https://prerender.io/blog/technical-seo-for-ai-search-peter-rota/"><em> Technical SEO for AI Search</em></a></p>
<h2 class="wp-block-heading">What the Next 12–18 Months Look Like</h2>
<p class="wp-block-paragraph">When asked what gets worse before it gets better, Niklas points to the job market. Companies feeling pressure to automate will push further and faster than is sustainable, before the reality of where human judgment remains necessary reasserts itself.</p>
<p class="wp-block-paragraph">He recommends checking out Anthropic’s research on the economic impact of AI on the job market. More specifically, a chart showing the theoretical capabilities of AI models versus the extent to which those capabilities are actually in use today. The gap is significant, and it’s not clear it closes as quickly as many assume. More capability doesn’t automatically translate to deployment at scale.</p>
<p class="wp-block-paragraph">On AI search specifically, he’s optimistic about measurement improving and user behavior continuing to shift. The share of discovery happening outside Google won’t shrink. The question is whether marketing teams build the infrastructure to track it before they’re left guessing.</p>
<p class="wp-block-paragraph"><strong>“I am 100% convinced that it will get better over time. It’s just a matter of how we use the technology and what we use it for.”</strong></p>
<h2 class="wp-block-heading">Key Takeaways</h2>
<ul class="wp-block-list">
<li><strong>AI search is already at significant scale.</strong> Data from Graphite estimates it’s already pulling roughly 20% of classic Google search volume. </li>
<li><strong>Your analytics don’t tell you the full story.</strong> Radyant’s client data shows click-based attribution understates AI search’s contribution to pipeline by 15 to 30 times. </li>
<li><strong>Build a three-layer attribution system.</strong> Combine click-based attribution, self-reported attribution (free text, not a dropdown), and sales-reported attribution for a directional picture you can act on.</li>
<li><strong>Free text over dropdowns.</strong> A fixed dropdown will miss new AI channels and discovery patterns. Let people tell you how they found you in their own words. </li>
<li><strong>SEO fundamentals still apply.</strong> LLMs still rely on search indexes, technical foundations, content quality, and authority signals. </li>
</ul>
<p class="wp-block-paragraph"><strong>Don’t wait for perfect attribution.</strong> The companies making progress are the ones moving with imperfect data, rather than waiting for a system that will give them certainty.</p>
<h2 class="wp-block-heading">Tune Into the Full Conversation</h2>
<p class="wp-block-paragraph">Listen to the full episode of the <em>Get Discovered</em> podcast wherever you get your podcasts. Subscribe so you don’t miss future episodes with marketing and SEO leaders navigating the AI discovery challenge in real time.</p>
<p class="wp-block-paragraph">To connect with Niklas, visit <a href="https://www.radyant.io/" target="_blank" rel="noreferrer noopener">Radyant</a> or find him on <a href="https://www.linkedin.com/in/niklas-buschner/?locale=en">LinkedIn</a>. His podcast, <em><a href="https://www.radyant.io/masters-of-search">Masters of Search</a></em>, is available on YouTube and wherever you listen to podcasts.</p>
<figure class="wp-block-embed is-type-rich is-provider-spotify wp-block-embed-spotify wp-embed-aspect-21-9 wp-has-aspect-ratio"><div class="wp-block-embed__wrapper">
<iframe title="Spotify Embed: Why AI Contributes to Pipeline 15-30x More Than You Think: Niklas Buschner, CEO of Radyant" style="border-radius: 12px" width="100%" height="152" frameborder="0" allowfullscreen allow="autoplay; clipboard-write; encrypted-media; fullscreen; picture-in-picture" loading="lazy" src="https://open.spotify.com/embed/episode/0PFen4RvmJiYrmE91I9DyO?si=n81OAUlBQYWWqs06MoYLJQ&utm_source=oembed"></iframe>
</div></figure>
<h2 class="wp-block-heading">About Prerender.io</h2>
<p class="wp-block-paragraph">Prerender.io is a leading SEO solution that helps modern websites ensure their JavaScript-heavy pages are fully visible to search engines and AI tools. Trusted by companies like Microsoft, Salesforce, and Walmart, Prerender is the go-to partner for businesses navigating the future of SEO and AI-driven discoverability. <a href="https://prerender.io/pricing/" target="_blank" rel="noreferrer noopener">Start for free today.</a></p>
<div class="wp-block-buttons is-content-justification-center is-layout-flex wp-container-core-buttons-is-layout-fe48e5de wp-block-buttons-is-layout-flex">
<div class="wp-block-button"><a class="wp-block-button__link has-white-color has-text-color has-background has-link-color wp-element-button" href="https://prerender.io/pricing/" style="border-radius:0px;background-color:#1f8511">Try Prerender.io For Free</a></div>
</div>
<p class="wp-block-paragraph"></p>
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<item>
<title>How to Prepare for the Agentic AI Wave: A Conversation with Ray Grieselhuber, CEO of DemandSphere </title>
<link>https://prerender.io/blog/podcast-ray-grieselhuber-demandsphere/</link>
<dc:creator><![CDATA[Prerender]]></dc:creator>
<pubDate>Wed, 22 Apr 2026 11:58:52 +0000</pubDate>
<category><![CDATA[AI SEO]]></category>
<category><![CDATA[Podcast]]></category>
<category><![CDATA[agentic AI]]></category>
<category><![CDATA[ai podcasts]]></category>
<category><![CDATA[seo podcasts]]></category>
<category><![CDATA[tech podcasts]]></category>
<guid isPermaLink="false">https://prerender.io/?p=8119</guid>
<description><![CDATA[Tune into our conversation with Ray Griselhuber, CEO of DemandSphere and a grounded voice in the AI search space.]]></description>
<content:encoded><![CDATA[
<p class="wp-block-paragraph">In season two of Get Discovered, we’re documenting what we’re calling the discovery crisis: how AI is changing where online discovery happens, what actually gets surfaced, and why so many marketing teams are realizing they don’t have the visibility or control they thought they did.</p>
<p class="wp-block-paragraph">In this episode, host Joe Walsh sits down with Ray Grieselhuber, founder and CEO of DemandSphere, a platform that gives marketing teams a unified view of their brand across traditional search, Large Language Models, and agentic search experiences. </p>
<p class="wp-block-paragraph">The conversation covers everything from indexing to attribution to how to prepare for agentic AI. Whether you’re a growth leader or SEO expert, you’ll definitely find this one valuable.</p>
<p class="wp-block-paragraph">Listen to the full episode below, or read on for a written summary.</p>
<figure class="wp-block-embed is-type-video is-provider-youtube wp-block-embed-youtube wp-embed-aspect-16-9 wp-has-aspect-ratio"><div class="wp-block-embed__wrapper">
<iframe title="How to Prepare for the Agentic AI Wave: Ray Grieselhuber, CEO of DemandSphere" width="640" height="360" src="https://www.youtube.com/embed/E1YnDQUo5tY?feature=oembed" frameborder="0" allow="accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share" referrerpolicy="strict-origin-when-cross-origin" allowfullscreen></iframe>
</div></figure>
<h2 class="wp-block-heading">The Measurement Contract Is Broken</h2>
<p class="wp-block-paragraph">Ray opens with a framing that shapes the rest of the conversation: the measurement contract between SEO effort and business outcomes has fundamentally broken down.</p>
<p class="wp-block-paragraph">It used to be relatively straightforward, even if it was difficult to clearly attribute revenue from SEO. You’d identify search volume for a topic, create content targeting those keywords, and expect a reasonably predictable number of clicks based on ranking position and clickthrough rates. It was never perfectly deterministic, but it was workable.</p>
<p class="wp-block-paragraph">That model no longer holds for most sites.</p>
<p class="wp-block-paragraph"><em>“The big thing is that the measurement from a business perspective, the measurement contract has really gotten broken in many ways… </em><strong><em>You have to bring this mindset that you’re triangulating directional data from a lot of different sources in order to build a picture.”</em></strong></p>
<figure class="wp-block-embed is-type-video is-provider-youtube wp-block-embed-youtube wp-embed-aspect-9-16 wp-has-aspect-ratio"><div class="wp-block-embed__wrapper">
<iframe title="Why the measurement contract in SEO is now broken" width="540" height="960" src="https://www.youtube.com/embed/u9aV2tcfctw?feature=oembed" frameborder="0" allow="accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share" referrerpolicy="strict-origin-when-cross-origin" allowfullscreen></iframe>
</div></figure>
<p class="wp-block-paragraph">What Ray describes is less like a dashboard and more like reckoning. Using multiple imprecise signals together to form a directional picture, then treating the whole thing as a feedback loop rather than a formula. That skillset, he argues, is what will help people survive this wave. Those who’ve been doing SEO for years already know how to work this way. For those who are new to it, he admits that this shift can feel disorienting.</p>
<h2 class="wp-block-heading">The Great Decoupling of Clicks and Impressions</h2>
<p class="wp-block-paragraph">One of the most concrete phenomena Ray points to is what’s widely being called “the great decoupling,” a term coined by the well-known SEO expert, <a href="https://www.growth-memo.com/p/the-great-decoupling">Kevin Indig</a>. It refers to the breakdown of the historically tight correlation between impressions (a proxy for search demand), rankings, and traffic. (We also discuss this in our conversations with <a href="https://prerender.io/blog/podcast-noah-greenberg-stacker/">Noah Greenberg, CEO of Stacker</a>, and <a href="https://prerender.io/blog/podcast-klaus-schremser-otterlyai/">Klaus-M. Schremser, CEO of OtterlyAI</a>.) </p>
<p class="wp-block-paragraph">For a long time, if your content ranked well for high-volume terms, you could count on traffic following. That relationship has weakened significantly. Impressions are up on many sites, but clicks aren’t following at the same rate because AI Overviews, featured snippets, and other zero-click features are absorbing more of the interaction.</p>
<p class="wp-block-paragraph">This creates a new kind of challenge, says Ray. You can no longer look at search volume data and confidently project the engagement you’ll get from capturing that demand. The signal still matters, but it’s less predictive than it once was.</p>
<p class="wp-block-paragraph">However, not every site is experiencing this equally. Ray notes that some of DemandSphere’s customers still show tight correlations. But for most, it’s a genuine source of anxiety and a real planning problem.</p>
<h2 class="wp-block-heading">Yes, Traditional SEO Still Matters</h2>
<p class="wp-block-paragraph">One of the more grounded parts of this conversation is Ray’s insistence that foundational SEO principles haven’t gone away, a theme we’ve heard from nearly <a href="https://prerender.io/podcast/">every podcast guest</a> this season. They’ve just shifted where they apply.</p>
<p class="wp-block-paragraph">A common misconception in the industry is that SEO is either completely dead (the panicked take) or completely unchanged (the defensive SEO-community take). Ray argues that both of these miss the point.</p>
<p class="wp-block-paragraph">From Ray’s perspective, the reason traditional SEO still matters is largely about the index. Google’s web index remains the most comprehensive map of the internet that exists, and most Large Language Model applications—whether they’re running on Bing’s API or scraping search results more directly—are still drawing on that index for live retrieval.</p>
<p class="wp-block-paragraph"><em>“I always talk about the index being the prize, and nobody has a better index of the internet than Google. So that makes them incredibly valuable as a platform company. It also means that a lot of the things that still matter for SEO still matter very much within the realm of what most people would call AI search visibility.”</em></p>
<p class="wp-block-paragraph">The implication for practitioners: the work you’re doing to help search engines find, crawl, and understand your content is also the work that helps LLM applications surface it.</p>
<p class="wp-block-paragraph"><em><strong>Further reading:</strong> <a href="https://prerender.io/blog/how-to-get-indexed-on-ai-platforms/">How to Get Indexed on AI Platforms</a></em></p>
<h2 class="wp-block-heading">The Training Layer vs. Retrieval Layer</h2>
<p class="wp-block-paragraph">Ray draws a distinction that’s genuinely useful for thinking about LLM visibility: the difference between what a model knows from its training data and what it retrieves in real time.</p>
<p class="wp-block-paragraph">Training data has a cutoff date. The moment a model launches, its knowledge is already aging. This is why tools like ChatGPT and Perplexity have increasingly added live web retrieval—often called retrieval-augmented generation, or RAG—to supplement what the model was trained on. When you ask an LLM a question about a current topic, the system often goes to a search index to pull fresh information before generating a response.</p>
<p class="wp-block-paragraph">This means you’re always dealing with a hybrid system. Some of what shapes your visibility in an LLM response is baked in from training, while some of it is determined in the moment by live retrieval from search indexes.</p>
<p class="wp-block-paragraph">For SEO and content strategy, this has real implications. Ranking well and being crawlable still matter for the retrieval layer. But what about training?</p>
<p class="wp-block-paragraph">Ray’s view is that training data visibility is harder to engineer, but it’s also shaped by the same underlying forces that drive search indexing. The internet that training datasets pull from has already been shaped heavily by Google’s index and by the signals that determine what gets crawled and surfaced. Sites like Common Crawl, which are widely used in training datasets, tend to favor established, well-linked, well-indexed domains.</p>
<p class="wp-block-paragraph">“If you’re one of the top brands in the world, then you’re going to probably do pretty well on that. If you’re a smaller brand, your visibility within Common Crawl itself is going to be limited.”</p>
<p class="wp-block-paragraph">Ray’s practical advice: don’t treat training visibility and live retrieval as separate problems. Both reward the same fundamentals of being indexed, authoritative, and well-structured.</p>
<p class="wp-block-paragraph"><strong><em>Further Reading: </em></strong><a href="https://prerender.io/blog/ai-optimization-technical-seo-guide/"><em>A Technical Guide to Optimize Your Website for AI Search</em></a></p>
<h2 class="wp-block-heading">Why You Should Think of Your Website as a Knowledge Repository</h2>
<p class="wp-block-paragraph">One of the more conceptually useful ideas in this conversation is Ray’s suggestion to stop thinking about your website as a marketing function and start thinking about it as an interlinked knowledge repository. </p>
<p class="wp-block-paragraph">The mental model he offers is something like an internal Wikipedia or a well-maintained personal knowledge base (think Obsidian, or Zettelkasten-style note systems). The idea is that your content should be structured for knowledge retrieval with clear topic relationships, well-organized internal linking, and content that answers specific questions—rather than optimized purely for marketing purposes.</p>
<p class="wp-block-paragraph">This isn’t a completely new idea in SEO, but the framing becomes more urgent in an LLM context. Models doing retrieval are, in a sense, trying to pull the most relevant and well-organized information on a topic. Sites that are structured to make that easy are better positioned compared to sites that aren’t.</p>
<p class="wp-block-paragraph">Ray connects this to a longer-standing belief at DemandSphere: “Good SEO is good product management and also good corporate strategy.” You can often tell how well-run a company is by how coherent and discoverable its search surface is.</p>
<figure class="wp-block-embed is-type-video is-provider-youtube wp-block-embed-youtube wp-embed-aspect-9-16 wp-has-aspect-ratio"><div class="wp-block-embed__wrapper">
<iframe title="How you should think about your website now" width="540" height="960" src="https://www.youtube.com/embed/4PyDQ87YNUo?feature=oembed" frameborder="0" allow="accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share" referrerpolicy="strict-origin-when-cross-origin" allowfullscreen></iframe>
</div></figure>
<h2 class="wp-block-heading">How to Think About Agentic AI</h2>
<p class="wp-block-paragraph">One of the more forward-looking threads in this conversation involves how to think about “agents as users of your website.”</p>
<p class="wp-block-paragraph">Joe raises the idea, as it’s something the Prerender.io team has been thinking about internally. He notes that the user class for websites is expanding, and it’s not just humans anymore. Agents are browsing, querying, and making decisions on behalf of users. And as agentic tools become more accessible to non-technical users, the share of traffic and interaction driven by agents is likely to grow.</p>
<p class="wp-block-paragraph">Ray pushes back slightly on the more radical version of this thesis: he’s skeptical that human-facing websites will become irrelevant in a three-to-five-year timeframe. But he’s fully on board with the underlying point: “Yes, you should be thinking about agents as a distinct user class now.”</p>
<p class="wp-block-paragraph"><strong>“You should definitely be thinking in terms of new protocols to expose your website’s behavior to agents, because it will be an influencing factor in many ways in that first part of the funnel.”</strong></p>
<p class="wp-block-paragraph">The framing he finds useful is a hybrid model. Agents may handle the early stages of discovery and shortlisting to help users narrow down options before they engage directly. But the closer you get to a real decision (especially one involving money), the more likely a human is to want to be in the loop. The website isn’t going away, of course, but it’s becoming a new layer in a more complex decision stack.</p>
<figure class="wp-block-embed is-type-video is-provider-youtube wp-block-embed-youtube wp-embed-aspect-9-16 wp-has-aspect-ratio"><div class="wp-block-embed__wrapper">
<iframe title="Should you think about agents as a new user class on your website?" width="540" height="960" src="https://www.youtube.com/embed/yTpPWBgjDcM?feature=oembed" frameborder="0" allow="accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share" referrerpolicy="strict-origin-when-cross-origin" allowfullscreen></iframe>
</div></figure>
<p class="wp-block-paragraph"><em><strong>Further Reading:</strong> <a href="https://prerender.io/blog/how-to-build-ai-agent-friendly-websites/">How to Build Agent-Friendly Websites</a></em></p>
<h2 class="wp-block-heading">The Biggest Misconceptions in AI Search Today</h2>
<p class="wp-block-paragraph">Ray identifies two misconceptions that he sees as a kind of pair.</p>
<p class="wp-block-paragraph">The first is the familiar one: “SEO is dead.” This is the panicked response to AI disruption, and Ray (like most thoughtful practitioners) thinks it’s wrong. The fundamentals of how information is organized and retrieved online haven’t changed as much as the discourse suggests.</p>
<p class="wp-block-paragraph">The second is the defensive mirror image: “it’s all just SEO.” This is the response from the SEO community that’s tempting to make, but equally incomplete. When you say “it’s all just SEO,” you’re focusing on the mechanics of indexes and content at the expense of the more important question: what are users actually doing, and how is that behavior shifting?</p>
<p class="wp-block-paragraph">“If any conversation we’re having about this, if you’re not bringing it back to what users are doing, how is user behavior shifting, then you’re missing the boat.”</p>
<p class="wp-block-paragraph">For Ray, human attention is the prize. The tools for capturing it change faster than the underlying human behaviors do.</p>
<h2 class="wp-block-heading">What Gets Better in the Next 12–18 Months</h2>
<p class="wp-block-paragraph">On the optimistic side of the ledger, Ray points to something he and Joe both feel: the ability to build things faster is genuinely transformative right now.</p>
<p class="wp-block-paragraph">DemandSphere has fully embraced AI-based engineering, and the distinction Ray makes is worth noting. Vibe coding is fine for what it is. But AI-based engineering goes further: it means having a real deployment pipeline and operational infrastructure behind what you build. With that foundation in place, you can now build and ship things at a speed that wasn’t previously possible for a team of any size.</p>
<p class="wp-block-paragraph">He also reframes the “SaaS apocalypse” narrative in a useful way. Yes, some software companies are going to struggle or disappear, and especially those that are little more than a UI wrapper around a database. But the silver lining is that this clears away a layer of subscription overhead that was never delivering enough value to justify its cost. The companies that survive and thrive will be the ones that have found a way to function less like a product you log into and more like a service that’s genuinely part of your team’s workflow. We’re curious to see where this takes us.</p>
<h2 class="wp-block-heading">Tune Into the Full Conversation</h2>
<p class="wp-block-paragraph">Listen to the full episode of the <em>Get Discovered</em> podcast on <a href="https://open.spotify.com/show/0rzmrAPI063Y0LYpHipII8">Spotify</a>, <a href="https://podcasts.apple.com/us/podcast/get-discovered-by-prerender-io/id1840604392">Apple Podcasts</a>, <a href="https://www.youtube.com/@Prerender">YouTube</a>, or wherever you get your podcasts. To connect with Ray, visit <a href="https://www.demandsphere.com/">DemandSphere</a> or find him on <a href="https://www.linkedin.com/in/raygrieselhuber/">LinkedIn</a>.</p>
<h2 class="wp-block-heading">About Prerender.io</h2>
<p class="wp-block-paragraph">Prerender.io is a leading SEO solution that helps modern websites ensure their JavaScript-heavy pages are fully visible to search engines and AI tools. Trusted by companies like Microsoft, Salesforce, and Walmart, Prerender is the go-to partner for businesses navigating the future of SEO and AI-driven discoverability. <a href="https://prerender.io/pricing/" target="_blank" rel="noreferrer noopener">Start for free today.</a></p>
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<div class="wp-block-button"><a class="wp-block-button__link has-white-color has-text-color has-background has-link-color wp-element-button" href="https://prerender.io/pricing/" style="border-radius:0px;background-color:#1f8511">Try Prerender.io For Free</a></div>
</div>
<p class="wp-block-paragraph"></p>
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<item>
<title>Industry Study: What 100M+ Pages Reveal About How AI Chooses Your Content</title>
<link>https://prerender.io/blog/industry-study-how-ai-retrieves-content/</link>
<dc:creator><![CDATA[Prerender]]></dc:creator>
<pubDate>Wed, 04 Mar 2026 10:08:59 +0000</pubDate>
<category><![CDATA[AI SEO]]></category>
<category><![CDATA[Data and Studies]]></category>
<category><![CDATA[Enterprise SEO]]></category>
<category><![CDATA[data]]></category>
<category><![CDATA[enterprise]]></category>
<category><![CDATA[studies]]></category>
<category><![CDATA[thought leadership]]></category>
<guid isPermaLink="false">https://prerender.io/?p=7545</guid>
<description><![CDATA[A study across 100M+ pages to surface AI crawler behavior, citation analysis, and what this means for your marketing.]]></description>
<content:encoded><![CDATA[
<p class="wp-block-paragraph">The brands winning in AI search aren’t always the ones with the best content. <strong>They’re the ones AI systems can actually read and trust.</strong></p>
<p class="wp-block-paragraph">That’s the central finding from a study conducted by Prerender.io and OtterlyAI analyzing 100M+ pages across eight global enterprise brands. This article breaks down what the data shows, helping you pinpoint what content AI systems prefer, seven key findings to include in your content strategy, and the three structural changes that are moving the needle on AI search visibility.</p>
<h2 class="wp-block-heading">The Dataset: Eight Global Brands and 100M+ Pages</h2>
<p class="wp-block-paragraph">To conduct this study, the Prerender.io team analyzed 100M+ pages across eight anonymized brands in Prerender.io’s database, pulling the URLs most frequently requested by ChatGPT over Q4 2025. These are real machine-to-site retrieval requests, as opposed to pageviews or rankings, which means every signal in this dataset reflects exactly what AI systems are actively looking for.</p>
<p class="wp-block-paragraph">The brands were selected to represent a range of industries, company sizes, and geographies. Each brand averages a minimum of 75M+ page renders per year, ensuring the dataset is large enough to surface reliable patterns. The brands chosen span ecommerce, SaaS, automotive, sports, fashion, and government to evaluate a variety of industries.</p>
<figure class="wp-block-table"><table class="has-fixed-layout"><tbody><tr><td><strong>Brand</strong></td><td><strong>Industry</strong></td><td><strong>Most-Requested Page Types</strong></td></tr><tr><td>Brand 1</td><td>Multinational automotive company based in Europe</td><td>Informational blog posts, homepage</td></tr><tr><td>Brand 2</td><td>Leading jewelry brand headquartered in the US (ecommerce)</td><td>Homepage, FAQs, comparison guides, product blogs</td></tr><tr><td>Brand 3</td><td>International sports organization</td><td>Streaming pages, live event pages</td></tr><tr><td>Brand 4</td><td>Global athletic leisure brand in 50+ countries (ecommerce)</td><td>New collection pages, homepage, FAQs, discount pages</td></tr><tr><td>Brand 5</td><td>American department store (ecommerce)</td><td>Top-selling product pages, homepage</td></tr><tr><td>Brand 6 </td><td>Global API/SaaS platform headquartered in the US</td><td>Technical documentation (exclusively)</td></tr><tr><td>Brand 7</td><td>Government / legal entity based in Europe</td><td>Documentation, homepage</td></tr><tr><td>Brand 8</td><td>Global fashion retailer headquartered in Europe (ecommerce)</td><td>Homepages (US + international), store locator, product pages</td></tr></tbody></table></figure>
<p class="wp-block-paragraph">The OtterlyAI team then supplemented this retrieval analysis with citation data, examining how these brands actually appear in AI-generated answers across ChatGPT, Perplexity, and Google AI Overviews. Seven findings emerged. Here’s what they show.</p>
<h2 class="wp-block-heading">Key Finding #1: AI Systems Reward Easily Answerable Pages</h2>
<p class="wp-block-paragraph">This is the clearest finding from the study across each brand. The most-retrieved URLs across all eight brands fall into a surprisingly narrow set of content types:</p>
<ul class="wp-block-list">
<li><strong>Evergreen editorial content and buying guides</strong></li>
<li><strong>FAQs and comparison pages</strong></li>
<li><strong>Technical documentation and API references</strong></li>
<li><strong>Category and collection pages</strong></li>
</ul>
<p class="wp-block-paragraph">And these pages share a common characteristic. <strong>They answer a specific “what,” “how,” or “why” question without requiring the reader, or the AI crawler, to navigate anywhere else.</strong></p>
<p class="wp-block-paragraph">This is a significant reframe for marketing teams accustomed to thinking about content in terms of the funnel or site hierarchy. AI visibility is not about where a page sits in your navigation.<strong> Instead, it’s about whether the page can reliably serve as an answer on its own. </strong>Whether it’s a blog article answering a specific question, a comparison page performing a this vs. that analysis, or a product category page, the pages that AI systems return to repeatedly are the ones that deliver complete and clearly structured answers. This also supports why AI systems seem to prefer knowledge base and help center content: they typically answer a single question. </p>
<p class="wp-block-paragraph"><strong>Key takeaway: </strong>write your content in a clear, question-answer format, focus on optimizing your knowledge base documentation, and ensure pages answer a specific “what,” “how,” or “why” question. </p>
<h2 class="wp-block-heading">Key Finding #2: Address Questions Directly, Especially for Ecommerce Brands</h2>
<p class="wp-block-paragraph">This analysis also surfaced differences in how AI crawlers and humans navigate pages—especially for ecommerce. For example, when humans shop, they browse product detail pages in detail. But when AI systems research products on ecommerce sites, that’s not always the case.</p>
<p class="wp-block-paragraph">Instead, AI systems consistently prefer:</p>
<ul class="wp-block-list">
<li><strong>Category and collection pages to answer <em>“what are the best options?”</em></strong></li>
<li><strong>FAQ and sizing guides to answer <em>“what should I get?”</em></strong></li>
<li><strong>Store locators and availability pages to answer <em>“where can I buy this?”</em></strong></li>
</ul>
<p class="wp-block-paragraph">Individual product pages still matter, but far less than traditional SEO priorities suggest. The AI-driven shopping journey starts earlier and at a higher level of abstraction. Users receive AI-generated summaries before they ever visit a brand’s site, and those summaries are built from category-level and editorial content, not PDPs.</p>
<p class="wp-block-paragraph">This means the pages most critical to AI visibility are often the ones least optimized for it. Category pages, FAQs, and buying guides tend to be JavaScript-heavy, dynamically loaded, and lower on the priority list for technical maintenance, precisely where AI systems are most likely to encounter incomplete or missing content.</p>
<p class="wp-block-paragraph"><strong>Key takeaway</strong>: prioritize your category pages, FAQs, and buying guides for both content completeness and technical rendering. These are the pages AI systems are currently using to build shopping summaries. Focus your efforts here, rather than on PDPs alone.</p>
<p class="wp-block-paragraph"><strong><em>Further reading: </em></strong><a href="https://prerender.io/blog/ai-indexing-benchmark-for-ecommerce/"><em>AI Indexing Benchmark Report for Ecommerce</em></a></p>
<h2 class="wp-block-heading">Key Finding #3: Third-Party Sites Matter For Citations </h2>
<p class="wp-block-paragraph">This is the finding that should concern brand and growth leaders most. </p>
<p class="wp-block-paragraph">In OtterlyAI’s analysis of one of the world’s top athletic brands, OtterlyAI looked at over 1,300 citations across 25 test queries. Here’s the breakdown of the share of citations per source:</p>
<ul class="wp-block-list">
<li><strong>Independent review sites: 8.6%</strong></li>
<li><strong>Reddit: 7.2%</strong></li>
<li><strong>YouTube: 4.6%</strong></li>
<li><strong>Brand’s own domain: 4.2%</strong></li>
</ul>
<figure class="wp-block-image size-large"><img loading="lazy" decoding="async" width="1024" height="576" src="https://prerender.io/wp-content/uploads/image-149-1024x576.png" alt="" class="wp-image-7620" srcset="https://prerender.io/wp-content/uploads/image-149-1024x576.png 1024w, https://prerender.io/wp-content/uploads/image-149-300x169.png 300w, https://prerender.io/wp-content/uploads/image-149-768x432.png 768w, https://prerender.io/wp-content/uploads/image-149-1536x864.png 1536w, https://prerender.io/wp-content/uploads/image-149.png 1920w" sizes="(max-width: 1024px) 100vw, 1024px" /></figure>
<p class="wp-block-paragraph">Evidently, the brand’s own domain holds less weight than community platforms like G2, Reddit, or YouTube. And this isn’t an isolated case. Broader research from OtterlyAI across 1M+ citations across ChatGPT, Perplexity, and Google AI Overviews confirms the same pattern across industries: community platforms and third-party sources capture the majority of AI citations, regardless of how strong the brand’s owned content is.</p>
<p class="wp-block-paragraph">AI systems are designed this way. They increasingly want to sound confident in their answers, and often <a href="https://prerender.io/blog/podcast-how-toggl-is-adapting-to-the-ai-era/">prioritize third-party validation and community consensus over brand-owned marketing content</a>. That’s a newer structural difference with LLMs, and your strategy has to account for this.</p>
<p class="wp-block-paragraph"><strong>Key takeaway:</strong> Build a deliberate third-party presence strategy. Identify the review sites, forums, and media outlets AI systems are already citing in your category, and prioritize earning coverage there.</p>
<h2 class="wp-block-heading">Key Finding #4: Technical Accessibility Is Crucial for AI Visibility</h2>
<p class="wp-block-paragraph">Across this dataset, one issue emerged as the most consistent barrier to AI visibility. Brands were inadvertently blocking AI crawlers with configurations originally written for traditional search engines.</p>
<p class="wp-block-paragraph"><strong>When AI crawlers can’t access your site, you’re not partially visible to AI systems—you’re completely invisible. </strong>This means no citations, no mentions, and no influence on AI-generated answers. This issue is more common now because AI crawlers are newer and less familiar to infrastructure teams than Googlebot, and they’re frequently caught by security policies that predate their existence.</p>
<p class="wp-block-paragraph">Before any content or strategy work, confirm that your site is actually accessible to major AI crawlers. It’s the single highest-leverage action available to brands that have invested in content and are seeing no AI visibility, and it requires a conversation with your technical team, not a content brief.</p>
<p class="wp-block-paragraph">For JavaScript-heavy sites specifically, the gap between what a human sees and what an <a href="https://prerender.io/blog/understanding-web-crawlers-traditional-ai">AI crawler can read</a> is often significant. Server-side rendering or prerendering (serving AI crawlers a fully rendered, stable version of each page) is often the most reliable fix.</p>
<p class="wp-block-paragraph"><strong>Key takeaway: </strong>have your technical SEO team evaluate your technical performance, particularly your JavaScript rendering and robots.txt.</p>
<p class="wp-block-paragraph"><em><strong>Further reading:</strong> <a href="https://prerender.io/blog/seo-audit-vs-geo-audit-for-site-health/">How to Conduct a GEO Audit on your Site</a></em></p>
<h2 class="wp-block-heading">Key Finding #5: Homepages Are Gateways, Not Destinations</h2>
<p class="wp-block-paragraph">Homepages appear frequently among the top-requested URLs, and sometimes as the single most-retrieved page. But the retrieval pattern tells a specific story.</p>
<p class="wp-block-paragraph">AI systems hit the homepage and then fan out immediately. The homepage appears to serve a defined function to confirm brand identity, establish authority, and act as a starting point for deeper retrieval. However, the sharp drop-off in retrieval volume after the homepage means that what happens next determines the majority of your AI visibility.<strong> A strong homepage paired with inaccessible supporting content is nearly as limiting as no homepage presence at all.</strong></p>
<p class="wp-block-paragraph"><strong>Key takeaway: </strong>treat your homepage as a crawl entry point, not a destination. The real AI visibility work happens on the supporting pages it leads to.</p>
<h2 class="wp-block-heading">Key Finding #6: You Need a Different AI Search Strategy for Each AI Platform</h2>
<p class="wp-block-paragraph">Not all AI platforms behave the same way, and this has direct implications for where marketing teams focus their energy. </p>
<p class="wp-block-paragraph">Proprietary data from OtterlyAI shows the following:</p>
<figure class="wp-block-table"><table class="has-fixed-layout"><tbody><tr><td><strong>AI Platform</strong></td><td><strong>Citation Rate</strong></td></tr><tr><td>Perplexity</td><td>97% of responses include a citation</td></tr><tr><td>Google AI Overviews</td><td>34% of responses include a citation </td></tr><tr><td>ChatGPT</td><td>16% of responses include a citation </td></tr></tbody></table></figure>
<p class="wp-block-paragraph">Perplexity has a near-universal citation rate, meaning that most answers include a citation, and that you have a higher chance of being cited in their response. This implies that, for a Perplexity-focused strategy, if you create comprehensive, well-structured content across all detail pages, it has a real chance of appearing. </p>
<p class="wp-block-paragraph">However, this is not equally the same for other AI platforms: Google’s AI Overviews has a 34% citation rate, whereas ChatGPT only has 16%. This means that you may need to adapt your AI search strategy accordingly. For AI Overviews, focus on cornerstone content and domain authority. While for ChatGPT, prioritize page speed—it doesn’t like waiting around for slow-loading pages. </p>
<p class="wp-block-paragraph"><strong>A single “AI search strategy” will underperform, and it may need to change every few months. </strong>A brand might have strong Perplexity visibility today and near-zero ChatGPT presence tomorrow—not because of content differences, but because each platform has different technical and editorial preferences.</p>
<p class="wp-block-paragraph"><strong>Key takeaway: monitor AI visibility by platform, not in aggregate.</strong> A blended view of “AI traffic” will mask where you’re winning and where you’re invisible. You can use AI search analytics tools to do this.</p>
<figure class="wp-block-image size-large"><img loading="lazy" decoding="async" width="1024" height="576" src="https://prerender.io/wp-content/uploads/image-152-1024x576.png" alt="" class="wp-image-7623" srcset="https://prerender.io/wp-content/uploads/image-152-1024x576.png 1024w, https://prerender.io/wp-content/uploads/image-152-300x169.png 300w, https://prerender.io/wp-content/uploads/image-152-768x432.png 768w, https://prerender.io/wp-content/uploads/image-152-1536x864.png 1536w, https://prerender.io/wp-content/uploads/image-152.png 1920w" sizes="(max-width: 1024px) 100vw, 1024px" /></figure>
<h2 class="wp-block-heading">Key Finding #7: International Brands Can Experience Greater Visibility Issues</h2>
<p class="wp-block-paragraph">For brands operating across markets, AI systems don’t default to your primary locale. They actively retrieve language-specific URLs, country variants, and localized pages, and appear to match content language directly to the user’s query language.</p>
<p class="wp-block-paragraph">A French user asking about your product in French will receive an answer drawn from your French-language content, not an English page.<strong> If your localized pages are incomplete, slow to load, or invisible to AI crawlers, that market segment is effectively unserved by AI search</strong>—regardless of how strong your primary-market presence is.</p>
<p class="wp-block-paragraph"><strong>Key takeaway:</strong> run an AI crawler accessibility check on your localized pages. Incomplete or slow-loading country variants may be entirely invisible to AI systems.</p>
<h2 class="wp-block-heading">What Does This Mean for Revenue? A Note on Attribution</h2>
<p class="wp-block-paragraph">The reality is that clean attribution between AI visibility and revenue doesn’t quite exist yet. For now, AI systems remain a black box for most analytics stacks, and click-through rates on AI answer engines are significantly lower than traditional search.</p>
<p class="wp-block-paragraph">That said, the directional evidence is building. <a href="https://www.bain.com/about/media-center/press-releases/20252/consumer-reliance-on-ai-search-results-signals-new-era-of-marketing--bain--company-about-80-of-search-users-rely-on-ai-summaries-at-least-40-of-the-time-on-traditional-search-engines-about-60-of-searches-now-end-without-the-user-progressing-to-a/">Bain & Company’s February 2025 research</a> found that 80% of consumers now rely on AI-written results for at least 40% of their searches. A <a href="https://www.bain.com/about/media-center/press-releases/20252/agentic-ai-poised-to-disrupt-retail-even-with-50-of-consumers-cautious-of-fully-autonomous-purchasesbain--company/">separate Bain report from November 2025</a> found that 30–45% of US consumers already use AI specifically for product research and comparison, and that AI now accounts for up to 25% of referral traffic for some retailers. The research and purchase consideration stages are already happening inside AI platforms before buyers ever reach a brand’s site.</p>
<p class="wp-block-paragraph">And in this specific dataset, the directional data continues: one ecommerce brand saw AI crawler requests more than double from Q1 to Q3 2025. Over the same period, publicly reported earnings increased by 109.7%, accounting for nearly $80M in additional revenue. We’re not claiming causation, but the parallel is consistent with a model where AI visibility amplifies demand rather than directly creating it.</p>
<figure class="wp-block-image size-large"><img loading="lazy" decoding="async" width="1024" height="576" src="https://prerender.io/wp-content/uploads/image-151-1024x576.png" alt="" class="wp-image-7622" srcset="https://prerender.io/wp-content/uploads/image-151-1024x576.png 1024w, https://prerender.io/wp-content/uploads/image-151-300x169.png 300w, https://prerender.io/wp-content/uploads/image-151-768x432.png 768w, https://prerender.io/wp-content/uploads/image-151-1536x864.png 1536w, https://prerender.io/wp-content/uploads/image-151.png 1920w" sizes="(max-width: 1024px) 100vw, 1024px" /></figure>
<p class="wp-block-paragraph"><em>Data source: <a href="http://prerender.io">Prerender.io</a> dashboard of a key enterprise client. </em></p>
<p class="wp-block-paragraph">The more useful frame: think of AI visibility as revenue protection and a growing acquisition channel, even if it’s not entirely attributable yet. If AI systems retrieve your content incorrectly, partially, or not at all, your brand is excluded from the consideration set before the funnel begins. Buyers arrive at competitors already shaped by AI summaries your brand had no part in.</p>
<h2 class="wp-block-heading">A Measurement Framework</h2>
<p class="wp-block-paragraph">Given the current attribution gap, here’s a framework for how you can track AI visibility:</p>
<h3 class="wp-block-heading">1. Brand share of voice across AI platforms.</h3>
<p class="wp-block-paragraph">Track how often your brand is mentioned across ChatGPT, Perplexity, Gemini, and Copilot relative to competitors. This upstream signal predicts downstream revenue influence before it shows up in your analytics. OtterlyAI is the most practical tool we’ve seen for making this measurable.</p>
<h3 class="wp-block-heading">2. Citation monitoring on owned pages. </h3>
<p class="wp-block-paragraph">This tells you whether your content is being accurately represented. Being cited with incorrect pricing or outdated product details is actively damaging at the moment decisions are being formed. Use Screaming Frog to surface a full URL list, then audit your presence on third-party platforms like G2, Capterra, and Trustpilot.</p>
<h3 class="wp-block-heading">3. AI crawler behavior. </h3>
<p class="wp-block-paragraph">Measuring AI crawler activity shows whether your site is being actively retrieved by AI systems at all. Growing retrieval volume—like the doubling observed in our ecommerce case—is a directional signal worth tracking alongside business outcomes. You can use a solution like Prerender.io to provide visibility into your AI bot behavior, particularly in comparison to search or social crawlers, and identify whether pages are being served to AI crawlers in a fully rendered state.</p>
<figure class="wp-block-image size-large"><img loading="lazy" decoding="async" width="1024" height="380" src="https://prerender.io/wp-content/uploads/prerender-dashboard-ai-crawler-behavior-1024x380.png" alt="" class="wp-image-7644" srcset="https://prerender.io/wp-content/uploads/prerender-dashboard-ai-crawler-behavior-1024x380.png 1024w, https://prerender.io/wp-content/uploads/prerender-dashboard-ai-crawler-behavior-300x111.png 300w, https://prerender.io/wp-content/uploads/prerender-dashboard-ai-crawler-behavior-768x285.png 768w, https://prerender.io/wp-content/uploads/prerender-dashboard-ai-crawler-behavior-1536x570.png 1536w, https://prerender.io/wp-content/uploads/prerender-dashboard-ai-crawler-behavior-2048x760.png 2048w" sizes="(max-width: 1024px) 100vw, 1024px" /></figure>
<p class="wp-block-paragraph"><em>Prerender.io dashboard of an anonymized client</em></p>
<h3 class="wp-block-heading">4. Branded and direct traffic. </h3>
<p class="wp-block-paragraph">This captures the indirect effect. Users who encounter your brand in AI-generated answers often don’t click through immediately—they find you later via direct or branded search. Correlating share of voice trends against branded traffic growth gives you a reasonable proxy for AI-driven influence, even without direct attribution.</p>
<figure class="wp-block-image size-large"><img loading="lazy" decoding="async" width="1024" height="576" src="https://prerender.io/wp-content/uploads/image-150-1024x576.png" alt="" class="wp-image-7621" srcset="https://prerender.io/wp-content/uploads/image-150-1024x576.png 1024w, https://prerender.io/wp-content/uploads/image-150-300x169.png 300w, https://prerender.io/wp-content/uploads/image-150-768x432.png 768w, https://prerender.io/wp-content/uploads/image-150-1536x864.png 1536w, https://prerender.io/wp-content/uploads/image-150.png 1920w" sizes="(max-width: 1024px) 100vw, 1024px" /></figure>
<h2 class="wp-block-heading">Summing Up: Three Things That Impact Your Presence in AI Search </h2>
<h3 class="wp-block-heading">1. Technical retrievability is a must-have, not a nice-to-have. </h3>
<p class="wp-block-paragraph">AI systems can only work with content they can access and read completely. For JavaScript-heavy sites, serving a fully rendered, stable version of each page to AI crawlers isn’t optional. It’s table stakes for everything else.</p>
<h3 class="wp-block-heading">2. Content needs to answer, not just attract. </h3>
<p class="wp-block-paragraph">The pages AI systems return to are self-contained, clearly structured, and genuinely useful. If a page can’t serve as a complete answer to a specific question on its own, it’s a weak candidate for AI retrieval.</p>
<h3 class="wp-block-heading">3. Third-party presence isn’t optional.</h3>
<p class="wp-block-paragraph">The majority of AI citations come from outside your owned properties. Brands that earn coverage in the review sites, community platforms, and media that AI systems trust will win disproportionate attribution—regardless of how strong their own content is. Influence without attribution still influences. But it’s more valuable when it’s yours. Ensure that you are prioritizing your third-party presence as a core foundation of your marketing strategy.</p>
<h2 class="wp-block-heading">FAQs</h2>
<h3 class="wp-block-heading">What types of pages does ChatGPT retrieve most often? </h3>
<p class="wp-block-paragraph">Self-contained pages that answer a specific question without requiring additional navigation: FAQs, buying guides, technical documentation, category pages, and evergreen editorial content.</p>
<h3 class="wp-block-heading">Why is Reddit cited more than brand websites in AI search? </h3>
<p class="wp-block-paragraph">AI systems are built to prioritize third-party validation and community consensus. Reddit provides peer-generated, question-and-answer content that maps directly onto how AI systems construct responses.</p>
<h3 class="wp-block-heading">Does page speed affect AI search visibility? </h3>
<p class="wp-block-paragraph">Yes, particularly for ChatGPT. Faster-loading pages are more likely to be included when an AI system has limited time to retrieve and render content.</p>
<h3 class="wp-block-heading">What’s the biggest technical barrier to AI visibility? </h3>
<p class="wp-block-paragraph">There are a few: bot-blocking configurations and JavaScript rendering. Many enterprise sites inadvertently block AI crawlers with security rules originally written for traditional search engines, resulting in complete invisibility. JavaScript-heavy sites also block AI crawlers from accessing your pages in the first place. Server-side rendering or prerendering with <a href="http://prerender.io">Prerender.io</a> can be a solution here.</p>
<h3 class="wp-block-heading">How do I track whether AI systems are citing my brand? </h3>
<p class="wp-block-paragraph">Monitor brand share of voice using an AI search analytics tool like <a href="https://otterly.ai/">OtterlyAI</a>. For citation accuracy, combine a Screaming Frog URL crawl with manual audits of third-party review platforms.</p>
<h3 class="wp-block-heading">Does strong SEO automatically translate to strong AI search visibility? </h3>
<p class="wp-block-paragraph">In many ways, yes, but this isn’t guaranteed. The brands winning in AI search aren’t always the ones with the strongest content, which is a core ranking factor for traditional SEO. They’re the ones whose pages are technically accessible, structured to serve as direct answers, and with a strong third-party presence.</p>
<p class="wp-block-paragraph"></p>
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