Find out whether AI engines can actually crawl and render your pages — before they decide whether to read, trust, and cite you.
Generative Engine Optimization (GEO) starts with one question: can the AI even reach your content? Engines like GPTBot, ClaudeBot, and PerplexityBot have to fetch and render a page before any of it can appear in an answer. If they are blocked or the content only loads via JavaScript, you are invisible.
The GEO Crawlability Checker tests your robots.txt rules, AI bot access, server responses, and whether your key content renders without JavaScript. It tells you, in plain terms, whether the engines that power AI answers can read your site at all.
Enter any page and we simulate how AI crawlers request and load it.
We check robots.txt, AI user-agent rules, status codes, and JavaScript-dependent content.
See exactly what blocks AI engines and how to open your content up to them.
Generative Engine Optimization (GEO) begins at the most fundamental level: can the AI even see your content? Before any model can decide whether to trust, summarize, or cite your pages, a crawler must successfully fetch and render them. AI engines dispatch specialized bots — GPTBot for OpenAI, ClaudeBot for Anthropic, PerplexityBot for Perplexity, and Google-Extended for Gemini — each with its own user-agent string. If your server or robots.txt turns any of them away, that engine cannot include your content in its answers, regardless of how well written it is.
The challenge is that most websites were configured for search engine crawlers, not AI bots. A robots.txt file that was last edited in 2019 almost certainly does not account for GPTBot (introduced in 2023) or ClaudeBot. Without an explicit Allow directive, some server configurations default to blocking unknown agents. The result is silent: your pages appear accessible in a browser, your SEO rankings look fine, but AI engines receive a 403 or are turned away by robots.txt — and you never know unless you specifically test for it.
JavaScript-rendered content is a second major GEO crawlability barrier. Many modern frameworks (React, Vue, Angular) deliver a nearly empty HTML skeleton and load the actual content client-side after JavaScript executes. Traditional Googlebot runs a two-stage rendering pipeline that handles this; many AI bots do not. If your main navigation, product descriptions, blog content, or FAQ answers only appear after JS runs, those elements are invisible to crawlers that do not execute JavaScript. Server-side rendering (SSR) or static generation eliminates this class of problem entirely.
Redirect chains, soft 404s, and login walls round out the most common GEO crawlability failures. A chain of three or more redirects before reaching the final page can cause a crawler to give up before retrieving any content. Pages that return 200 OK but display "content not found" or a sign-in form (soft 404s) waste crawl budget and return no usable content. GEO crawlability testing must simulate AI user-agents specifically — using a standard SEO crawler with Googlebot settings will miss all of these AI-specific access failures.
Eight targeted steps to ensure every major AI engine can reach and read your pages.
Open your robots.txt and search for GPTBot, ClaudeBot, PerplexityBot, and Google-Extended. If these agents are explicitly Disallowed or absent from an Allow rule on a wildcard-blocked site, AI engines cannot crawl you. Add explicit Allow rules for each AI bot you want to permit.
Use curl or a similar tool to request your pages with each AI user-agent string. Look for 403, 429, or redirect loops that only appear for specific agents. Some WAF configurations and bot-protection services block unfamiliar user-agents by default — AI bots included.
Disable JavaScript in your browser and visit each key page. Any content that disappears — navigation, product listings, article bodies, FAQ sections — is invisible to AI crawlers that do not execute JS. Prioritize moving this content to server-rendered or statically generated HTML.
llms.txt is an emerging standard that signals to AI crawlers which pages are authoritative, which can be included in training data, and which contain the most valuable content. Place it at your root (/llms.txt) and update it as your content evolves.
Use a redirect checker to trace the full chain for your most important URLs. Any chain longer than two hops should be collapsed to a single direct redirect. Pay special attention to HTTP-to-HTTPS and www-to-non-www chains that are often overlooked.
Run a full crawl and flag any page that returns a non-200 status code or that returns 200 but delivers no meaningful content. Soft 404s — pages that return 200 but say "page not found" or require login — are especially costly because they consume crawl budget without delivering any content.
Do not assume that allowing GPTBot is sufficient. Each AI engine has its own bot with its own user-agent, and your server configuration may block some while allowing others. Test GPTBot, ClaudeBot, PerplexityBot, Google-Extended, and Applebot-Extended individually.
GEO crawlability is not a static property — it changes when you update robots.txt, deploy new framework changes, or add a CDN or WAF. Run a GEO crawlability check after every significant technical deployment to catch regressions before they affect AI visibility.
Plain-language definitions for every technical term in AI engine crawlability.
Sites and scenarios where AI crawlability failures are most likely and most costly.
Single-page applications that rely heavily on client-side JavaScript rendering are at highest risk of invisible content for AI crawlers. Any page where content loads via API calls after the initial HTML delivery needs careful SSR or static generation review.
Large enterprise sites often have robots.txt files maintained by multiple teams over years, resulting in conflicting rules and unintended blocks. A single misplaced Disallow rule can silently exclude entire sections of a site from AI crawling.
Publishers who want control over whether their content is used for AI training need to know exactly which bots are crawling them. The GEO Crawlability Checker shows the current access status for every major AI bot, making deliberate opt-in or opt-out decisions straightforward.
Product detail pages that load prices, availability, and descriptions via JavaScript are common in e-commerce. If those elements are invisible to AI crawlers, the products cannot appear in AI shopping answers or brand citations.
Agencies launching or migrating client sites need to verify GEO crawlability as part of pre-launch QA. A crawlability check catches access issues before they silently degrade AI visibility for weeks or months after launch.
Organizations building new sites have the opportunity to set their AI access policy from day one: which bots to allow for which sections, whether to publish an llms.txt, and how to structure content for maximum AI extractability.