Entity Recognition
The process by which AI systems identify and categorize specific people, places, organizations, products, or concepts within content.
This term is part of the 3LA EntityMap → /entitymap.html
Related terms
Schema Markup
L2Machine-readable code (JSON-LD using Schema.org vocabulary) added to web pages to help search engines and AI models understand content meaning and context.
E-E-A-T
L1Experience, Expertise, Authoritativeness, Trustworthiness. Google's quality framework for content credibility, also used by AI models to assess citation worthiness.
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.
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.
