Free AI readiness check
See how ready your page is for AI crawlers & LLM search — GPTBot, ClaudeBot, PerplexityBot and Google-Extended. We check crawler access, content structure, schema and extractability. No signup, results in seconds.
An AI-readiness check across four key areas
Enter any URL and we run deterministic checks on how AI engines reach and understand the page — the same way most AI crawlers do, without running JavaScript — then score them and explain how to fix each gap. We also flag what still needs a human review.
🔓 AI crawler access
noindex, robots.txt rules for GPTBot / ClaudeBot / PerplexityBot / Google-Extended, an llms.txt file and a sitemap.
🏗️ Content structure
A clear H1, semantic <main> landmark, sensible heading order and enough real, readable text to quote.
🏷️ Metadata & schema
JSON-LD structured data, meta description, Open Graph tags and a canonical URL.
📑 Extractability
Content present in the raw HTML (not JS-only), a page title, a declared language and image alt text.
Three steps to a clearer picture
1. Enter your URL
Paste the page you want AI engines to find and cite, and run the scan.
2. We analyse it
We fetch the page plus robots.txt / llms.txt / sitemap and run 16 deterministic checks.
3. Read your report
Get an AI-readiness score, per-area results, fixes, and what still needs a human review.
Being quotable is a technical problem first
AI search tools can only cite a page they were able to reach and read. In practice that comes down to unglamorous things: a robots.txt that does not block their crawlers by accident, real text in the raw HTML instead of text that only appears after a script runs, and a clear heading structure they can lift a sentence from.
We built this check around those mechanics. It tells you what the current setup allows, and the choice about what to allow is yours.
The order we fix things in
- Decide on purpose which AI crawlers may fetch your pages, and make robots.txt say exactly that.
- Put the real content in the HTML response, not only in what a script renders later.
- Use one clear H1, a main landmark and a sensible heading order, with enough readable text to quote.
- Add JSON-LD, a meta description, Open Graph tags and a canonical URL, and consider an llms.txt file.
Questions we get
No. It only removes a technical barrier. Whether a model cites you depends on many other things.
A proposed plain-text guide to your site for language models. It is not a standard that every tool follows, so treat it as a low-cost extra.
That is a business decision. The report shows what your current rules allow, so you can change them either way.
Want to be the answer AI gives?
Automated checks see only one page. AutCode's team makes your whole site easy for AI crawlers and LLM search to find, parse and cite — structured data, content structure, llms.txt, server-rendering and the off-page signals that build AI trust. Send us your scan for a free quote.