Find out in under 30 seconds whether AI crawlers from ChatGPT, Claude, Perplexity and Google can fetch and read your website – and how citable your content is.
The check measures the technical requirements, not actual mentions: we simulate AI crawlers, parse your robots.txt, llms.txt and sitemap, and analyse the delivered HTML including structured data and bot-blocker detection.
100% free. No email, no sign-up – results instantly in your browser.
The score is built from 9 categories with weighted individual checks. A warning counts 40% of a check's points. Every check shows its raw data – you can trace and verify each finding yourself.
| Category | Weight |
|---|---|
| AI citability | 22 % |
| Authority & trust | 18 % |
| robots.txt | 14 % |
| Bot blocker | 12 % |
| Technical & performance | 12 % |
| Homepage | 10 % |
| Schema & structured data | 9 % |
| Sitemap | 2 % |
| llms.txt | 1 % |
Fundamental blockers cap the score: if all three simulated AI bots are blocked, it tops out at 39. A full robots.txt block caps it at 25, missing server rendering at 49.
You can verify every finding yourself, for example the bot-blocker check in your terminal:
curl -A "GPTBot" -I https://your-domain.com
Each category bundles several individual checks. They all run on every scan – weighted by the share shown above.
The check is extended continuously. Recently added tests:
We check whether GPTBot, ClaudeBot and PerplexityBot are allowed to fetch your pages, whether the Google-Extended opt-out directive is set – and whether a bot blocker like Cloudflare quietly shuts them out.
The check looks for an llms.txt – a proposed convention (llmstxt.org), not an official standard, that tells AI systems which content to use and prioritise.
We read your XML sitemap, count its entries and inspect lastmod dates – the freshness signals AI crawlers use to decide what is worth indexing.
JSON-LD schema, sameAs links and speakable markup make your entity unambiguous to AI. The check lists existing types and missing fields.
Content that only appears after JavaScript runs stays invisible to many AI crawlers. We measure how much text already sits in the delivered HTML (SSR).
Clear definitions, short paragraphs, lists and a clean heading hierarchy decide whether AI quotes your passages verbatim. The check scores exactly that.
Three bot families decide whether your content shows up in the major AI answers. Know them – and don't accidentally block them in robots.txt – and you have the foundation for AI visibility.
More in our wiki: Google AI Mode
GPTBot controls whether your content flows into the training data of OpenAI's models. For citations in ChatGPT search, OAI-SearchBot is the one that matters – the check tests both separately. So don't block wholesale: if you only want to opt out of training, keep OAI-SearchBot and ChatGPT-User allowed.
ClaudeBot collects content for Anthropic's Claude models; Claude-User and Claude-SearchBot fetch pages when users work with Claude on the web or search. Anthropic strictly respects robots.txt – a Disallow means no citations in Claude answers and no access via the web search tools.
Perplexity is an AI search that cites sources prominently with a link. User agents: 'PerplexityBot' and 'Perplexity-User' (live browsing during a user query). If your pages are readable here, they can appear as linked sources in answers.
GPTBot or ClaudeBot are blocked in robots.txt.
Content only shows up after JavaScript has loaded.
There is no llms.txt and no schema markup.
Copy is promotional rather than factual and hard to quote.
A Cloudflare or WAF rule blocks unknown user agents.
High server response time (TTFB) makes crawlers give up.
The levers overlap, but signals, bots and success metrics are their own thing.
| Aspect | Classic SEO | AI visibility |
|---|---|---|
| Goal | Top-10 ranking on Google | Citation in ChatGPT, Claude, Perplexity |
| Key bots | Googlebot, Bingbot | GPTBot, ClaudeBot, PerplexityBot |
| Index file | sitemap.xml | llms.txt + sitemap.xml |
| Structured data | Rich snippets (Product, FAQ) | Entity linking (Organization, sameAs, @graph) |
| Rendering | Google renders JS — with delay | AI bots often skip JS — SSR mandatory |
| Success tracking | Search Console, rank trackers | Citation tracking, brand mentions in LLMs |
Order matters: open the gate first, then structure content, then monitor.
Allow GPTBot, ClaudeBot and PerplexityBot in robots.txt. Check Cloudflare, WAF and plugins for user-agent filters – common pitfall: Cloudflare defaults tend to reset on updates, so re-check after changes.
Add Organization, WebSite and BreadcrumbList schema. Use sameAs links to LinkedIn, Wikipedia and Crunchbase so AI can uniquely identify your brand.
Create a Markdown file at /llms.txt with a curated list of your most important URLs. Format per llmstxt.org – a proposed convention, not an official standard; some AI crawlers and research agents already read it.
Make sure main content lives in the initial HTML. Set up weekly monitoring that tracks bot responses, schema coverage and response times.
The key measures from the check as an actionable guide – free as a PDF.
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