Reference Implementation №1 · est. 2026

AI Native MEO

The first reference implementation of the LLMO Framework, applied to local businesses — 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. AI Native MEO is its local-business specialization.

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Definition

What AI Native MEO is

Traditional MEO (Map Engine Optimization) targeted Google Maps rankings. AI Native MEO targets the next layer: being cited and recommended by generative AI systems — ChatGPT, Gemini, Claude, 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 vantage point.

Recent entries

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  1. 01
    Engineering

    FAQPage vs QAPage: Local Business Q&A JSON-LD Type Choice

    FAQPage aggregates many Q&A; QAPage gives each its own URL. Which wins for AI citation? Four dimensions, four engines, hybrid pattern.
  2. 02
    Comparison

    Cold-Start Asymmetry: How AI Cites New vs Established Businesses

    Newly opened businesses face months of AI citation asymmetry against established peers. Four missing signals explain why.
  3. 03
    Engineering

    JSON-LD Review Generator: aggregateRating for AI Citation

    Reviews and aggregateRating in JSON-LD: generator patterns for 3 verticals, AI engine weighting, and 9 silent failure modes.