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Can an answer engine reach, parse and quote this site?

Five observable things, weighted and scored together: whether answer engines are allowed in, whether the content is shaped to be quoted, whether the meaning is machine-readable, whether the document has structure, and whether the prose can be extracted at all. It does not claim to predict whether a model will cite you — nothing can.

app.pixyscan.com/w/…/s/…/ai-readiness
The AI readiness screen: a readiness score out of 100 with answer signals, AI engine access, machine-readable meaning, document structure and extractable prose scored and weighted beneath it.

What it answers

The questions this screen exists for

If none of these is a question you have, this is not the lens you want — one of the other ten probably is.

  • 01Do we publish llms.txt and llms-full.txt, and are they valid?
  • 02Does the page answer a question in a form an engine can lift?
  • 03Is our content shaped so a paragraph can be lifted as an answer?
  • 04Is our JSON-LD valid for the types we claim?

On the screen

What you actually get

Four things, each of which is visible in the capture above.

  • Five weighted groups: answer signals, AI engine access, machine-readable meaning, document structure and extractable prose.

  • Answer-shaped signals: a reading level measured against the target audience, and comparison tables where the page promises one.

  • Structured data validated per type rather than merely present.

  • llms.txt and llms-full.txt checked as publishable files, not as a rumour.

The other lenses

One crawl, eleven readings of it

They are not separate scans. Each of these is the same dataset asked a different question.

See AI readiness against your own site

Connect one site free and run a crawl. Every lens on this page fills with your own pages within a few minutes.

Free plan · 1 site · 500 URLs a month · all 100+ checks · no card