Textual Grounding Gap

A 3LA metric that measures how many of a page's intent-critical claims (price, service, FAQ, rating, organization, location) are proven with Schema.org markup rather than only stated in the text. An LLM cites what it can verify.

A 3LA metric measuring whether the same fact is grounded in two or more independent structures: body text, table and JSON-LD. For an inference engine, data redundancy equals trust. CRG quantifies how single-sourced, and therefore fragile, a site's information architecture is.

The absence of clear attribution markers, fact anchors and authoritative signals in content, the elements AI models require to cite a source, and which are frequently missing from marketing-focused content.

A sub-score within L3 measuring whether content contains verifiable, well-sourced claims that AI models will trust and cite.