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How does AI read your site?

We test requests using AI crawler user agents, inspect the responses and ask a model what it knows about you. Get findings, fixes and a technical grade, with the evidence for each.See what crawlers can read, what a model knows and what to fix.

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See a finished reportstripe.comlinear.appnotion.so
Technical site grade
Your grade starts here.

No check has run yet. Your grade uses returned evidence.

WorksNeeds workObserved, not scored

Crawler access

How your site responds to AI crawlers.

Not run

Readable content

Text and metadata on pages checked.

Not run

Site files

Your robots.txt, llms.txt and sitemap.

Not run

Model knowledge

What a model knows about you, cold.

Not run

Off-site signals

Mentions, archives and sources elsewhere.

Not run

What fills each cell.

Measured checks and supporting observations in five areas. Coverage follows the pages and responses in your report.

Crawler access

Can each crawler read your pages, or is it turned away?

  • GPTBot
  • OAI-SearchBot
  • ChatGPT-User
  • ClaudeBot
  • anthropic-ai
  • PerplexityBot
  • Perplexity-User
  • Bytespider
  • Browser baseline
A miss can look like

A crawler request receives HTTP 403.

Readable content

Text and metadata on the pages the Agent reads.

  • Visible text
  • Page title
  • Meta description
  • Canonical URL
  • H1 heading
  • Structured data types
A miss can look like

The page returns no useful text.

Site files

The public files that help crawlers find and read your site.

  • robots.txt response
  • Blanket robots rules
  • Sitemap response
  • Sitemap URL sample
  • llms.txt
  • Known public URLs
A miss can look like

The sitemap returns HTTP 404.

Model knowledge

What a model recalls about you without using search.

  • Brand recall
  • Products and services
  • Who you serve
  • Well-known facts
  • Reputation signals
  • Recall gaps
A miss can look like

A model recalls an outdated product.

Off-site signals

Mentions, archives and public sources around your brand.

  • Public mentions
  • Returned source URLs
  • Archived snapshots
  • Hosting records
  • Response headers
A miss can look like

A source uses an old product name.

Google-Extended is a robots.txt policy token. Model knowledge and off-site signals are qualitative observations. Missing responses and outages are unavailable evidence. The report names every scored check and its source.

See a finished report.

Every report gets its own page you can share. Open one to see the findings and the evidence behind them.

Public reports, not customer case studies. A letter appears only when the saved evidence meets the grade method’s minimum coverage.

Questions,
answered.

The Agent reads your public pages, tests requests using AI crawler user agents, checks site files and asks a model what it recalls without search. Findings link to the underlying evidence. The technical grade covers only evaluable crawler access, readable content and site-file checks.

Ask anything else, like “Why would a crawler be blocked?”Ask anything else

The Agent answers from our docs, methods and pricing, and links to the source.

Your turn.

Type your domain. Get a report with the evidence and the fixes that matter.