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How AI reads your page

Paste any URL. We score how ready it is for ChatGPT, Perplexity and Google AI, and hand you the fix for every gap.

18 checks, scored in seconds. Free, no account needed.

Eighteen checks across four layers

Each one reads the live page the way an answer engine does before it decides to cite you.

  • Schema and entity

    6 checks

    Structured data that tells an engine who wrote the page and what it is about.

    • Schema.org Markup
    • FAQ Schema
    • Entity sameAs
    • Author / Person
    • Open Graph Tags
    • Twitter Card Tags

  • Crawl and access

    4 checks

    Whether AI crawlers may fetch the page at all.

    • HTTPS
    • Canonical Tag
    • AI crawler robots
    • llms.txt

  • Page structure

    5 checks

    Headings and metadata an engine splits into answers.

    • Page Title
    • Meta Description
    • H1 Tag
    • H2 Structure
    • Image Alt Text

  • Citability

    3 checks

    Signals that make a passage safe to quote: depth, sources, and dates.

    • Citability length
    • Outbound citations
    • Freshness dates

Every gap ships with its fix

Results get a shareable link. Send it to your developer, or let the studio write the missing FAQ, schema and llms.txt for you.

Audit my pageRequest access
  • llms.txtFail

    Publish a llms.txt at the site origin with a short description and links to canonical docs.

  • FAQ SchemaWarn

    Publish an FAQ section or article with FAQPage JSON-LD so AI engines can cite direct answers.

  • Outbound citationsWarn

    Link to primary sources so AI engines can verify claims.

  • Freshness datesWarn

    Expose dateModified in JSON-LD or article:modified_time.

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