Generative Engine Optimization
The 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.
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Related terms
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.
Answer Engine Optimization (AEO)
GEOA subset of GEO focused on structuring content to directly answer specific questions, making it extractable by AI answer engines.
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.
Zero-Click Economy
coreA digital environment where users receive answers directly from AI tools without visiting the source website, making AI citation the new form of visibility.
Platform-Segmented GEO
GEOA GEO strategy that differentiates optimization tactics per AI platform, recognizing that ChatGPT, Claude, Perplexity, and Gemini have different citation patterns and user bases.
