Platform-Segmented GEO
A GEO strategy that differentiates optimization tactics per AI platform, recognizing that ChatGPT, Claude, Perplexity, and Gemini have different citation patterns and user bases.
This term is part of the 3LA EntityMap → /entitymap.html
Related terms
Generative Engine Optimization
coreThe practice of optimizing content to be retrieved and cited by AI-powered answer engines. 3LA's Layer 3 score measures GEO performance as citation rate and sentiment across ChatGPT, Claude, Gemini, Perplexity, and Mistral. Distinct from classical SEO which optimizes only for search engine crawlers.
AI Visibility
L3A measure of how frequently and accurately AI models reference, cite, or recommend a brand or piece of content in their generated responses.
Brand Mention Tracking
coreMonitoring and measurement of how and where a brand is mentioned across AI-generated responses. Part of the Brand Analyzer capability in 3LA. Tracks mention frequency, sentiment, context, and competitor share-of-model across ChatGPT, Claude, Gemini, Perplexity, and Mistral.
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.
