Hidden Citation Paths
Situations where AI models cite a secondary source or aggregator instead of the original creator – you produce the content, but credit and authority go elsewhere.
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Related terms
Brand Analyzer
toolA 3LA platform product that tracks brand mentions and citation rate across five AI models: ChatGPT (GPT-5.2), Claude Sonnet 4.6, Gemini 3.1 Pro, Perplexity (Sonar), and Mistral Large. Provides Share-of-Model data and competitive AI visibility benchmarking. Driven by Capability Profile data.
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.
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.
Consistency and Redundancy Gap
metricA 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.
