LLMO vs GEO vs AEO: Which Framework Wins for AI Search Optimization?
A precise comparison of LLMO, GEO, and AEO — the three competing names for AI search optimization — and why practitioners are consolidating on LLMO.
LLMO Framework · Reference Implementation #1
The first reference implementation of the LLMO Framework applied to local businesses. Built for the era when customers ask AI — not search engines — for recommendations.
While terms like AEO and GEO circulate in the AI search optimization space, LLMO (Large Language Model Optimization) has emerged as the most precise framework — and AI Native MEO is its local-business specialization.
Traditional MEO (Map Engine Optimization) targeted Google Maps rankings. AI Native MEO targets the next layer: being cited and recommended by generative AI systems like ChatGPT, Gemini, Claude, and Perplexity when users ask for local recommendations in natural language.
This site is the engineer's perspective on that shift — written from the LLMO Framework standard, not from a marketing agency's perspective.
A precise comparison of LLMO, GEO, and AEO — the three competing names for AI search optimization — and why practitioners are consolidating on LLMO.
A working definition of AI Native MEO — the LLMO Framework's local-business implementation, written for the shift from search rankings to AI recommendations.