Free AI Retrieval & AAIO Readiness Checker

See how ready your page is to be found, understood, and cited by AI search — ChatGPT, Perplexity, Claude, and Google AI Overviews. Get a readiness score, pass/fail checks, and concrete fixes.

Example resultA sample AI retrieval report for example.com — run the tool on your own URL above for live results.
Readiness score
68 / 100
Checks passed
3 of 5
Verdict
Partly ready
Retrieval readiness checks
  • ✓ Chunkable structure — clear H2/H3 headings AI can lift
  • ✓ Direct answers — key questions answered in the first sentence
  • ✓ Machine-readable main content — clean, parseable text
  • ✗ Factual density — few concrete figures, dates, or sources to cite
  • ✗ Entity clarity — the page’s subject and author are not clearly stated
Top recommendations
  1. Add concrete facts — stats, dates, named sources — so AI has citable claims.
  2. State the page’s topic and author up front to sharpen entity signals.

AI retrieval optimization (AAIO / LLM SEO)

AI assistants and AI search don’t read pages the way classic crawlers do — they retrieve and chunkcontent, then synthesize answers and cite sources. To be quoted, a page needs clear structure, direct answers, factual specificity, and machine-readable signals. This is the emerging discipline behind the acronyms AEO, GEO, AIO, LLMO, and AAIO — optimizing to be useful to AI.

What this checks

  • Chunkable structure — clear headings and self-contained sections AI can lift.
  • Direct answers & factual density — concrete, citable statements over fluff.
  • Entity clarity & authority signals — who/what the page is about, credibly.
  • Machine-readability — clean main content an LLM can parse.

For a full site-wide view, run the complete audit — it scores AEO, GEO, and AIO across every page.

Frequently asked questions

What does the AI retrieval readiness score actually measure?

The score reflects how easily AI search systems like ChatGPT, Perplexity, and Google AI Overviews can find, chunk, understand, and cite your page. A leading AI model reads the live page content and rates it on structure, answer clarity, factual density, and machine-readability, then returns a single readiness score with pass or fail checks.

How is this different from a normal SEO or ranking check?

Traditional SEO checks focus on what helps a page rank in the classic blue-link results, such as title tags and keywords. This tool looks at whether AI assistants can lift and quote your content when answering questions. A page can rank well in search yet still be hard for an AI to chunk and cite, which is what these checks surface.

Will improving my AI retrieval score guarantee that AI tools cite my page?

No. AI systems decide what to cite based on relevance, authority, freshness, and their own indexing, none of which any single tool controls. A higher readiness score removes structural and clarity barriers that stop AI from using your content, but it improves your odds rather than guaranteeing a citation.

How should I act on the checks and recommendations?

Start with any failed checks, since those flag the clearest barriers to retrieval, such as missing headings, vague answers, or thin factual content. Then work through the numbered recommendations, which each explain why the change helps. Re-run the checker after editing the page to confirm the readiness score has improved.

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