Current methodology · technical checks

AI Discoverability methodology

AI Discoverability measures observable technical eligibility for supported AI search and answer products. It asks whether machines can discover, retrieve, identify, and cite the page—not whether its content will be selected or recommended.

What this category checks

  • Supported discovery-product access, indexing, following, and snippet controls.
  • Main-content access through rendering, login, consent, CAPTCHA, and interaction gates.
  • Canonical identity, applicable hreflang, metadata, Schema.org, Open Graph, provenance, and citation resolvability.
  • A small proprietary llms.txt orientation signal that does not affect Google Search visibility.

These are technical checks. Readability, intent, answer quality, and AI interpretation belong to SEO and AI Content.

Active immutable version

The current AI Discoverability rubric is ai-discoverability-rubric-v3.

Read the immutable ai-discoverability-rubric-v3 methodology.

Stable and versioned URLs

Use this stable URL for the current methodology and the immutable URL when explaining a specific Page Scan. Changing the active pointer cannot change a historical result.

Return to the four-category Page Scan checks overview.