Consistency and Redundancy Gap
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.
This term is part of the 3LA EntityMap → /entitymap.html
Related terms
Structural Proof Gap
metricA 3LA metric measuring how many of a page's intent-critical claims — price, service, FAQ, rating, organization, location — are proven with Schema.org markup rather than merely asserted in prose. Platform data: 76.2% low gap, 23.8% medium gap across 909 claims tracked. An LLM cites what it can verify.
Citation Readiness
L3The degree to which content is structured, authoritative, and clear enough to be cited by an AI model as a source in a generated answer.
Citation Worthiness
metricA sub-score within L3 measuring whether content contains verifiable, well-sourced claims that AI models will trust and cite.
L3 AI Layer
coreThe third layer in the Three-Layer Approach framework. Measures 12 metrics including Structural Proof Gap, Citation-Worthiness, Citation Readiness, Answer-First Format, LLMs.txt, and Chunk Optimization. Citation rate measured across ChatGPT (GPT-5.2), Claude Sonnet 4.6, Gemini 3.1 Pro in every audit. Weight: 30% of LayerScore. Platform average L3: 68/100. Typical lift after optimisation: +28 points.
