GEO Gap
The difference between a site's L2 Search score and L3 AI score in 3LA - a high GEO Gap indicates strong SEO visibility but poor AI citability. Formula: L2 Score − L3 Score.
This term is part of the 3LA EntityMap → /entitymap.html
Related terms
L2 Search Layer
coreThe second layer in the Three-Layer Approach framework. Measures 21 metrics including technical SEO, JSON-LD structured data, Core Web Vitals, canonical and hreflang hygiene, internal linking, heading hierarchy, and crawlability. Weight: 40% of LayerScore. Platform average L2: 72/100.
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.
Dark Opportunities
GEOA page with meaningful impressions in Google Search Console and Bing Webmaster Tools that never appears in ChatGPT, Perplexity or Gemini AI Overviews - findable to humans via traditional search, but effectively invisible to AI.
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.


