{
  "dataset": "glossary",
  "record": {
    "id": "llmo",
    "term": "LLM Optimization (LLMO)",
    "category": "optimization",
    "short_def": "Optimizing content for how large language models evaluate, trust and select it as a source — a practitioner sibling of GEO and AEO.",
    "long_def": "LLMO (sometimes AIO, AI Optimization) focuses specifically on large-language-model citation behavior: clear claims, source-able facts, structure a model can parse. It shares roughly 80% of its methods with GEO; the main difference is provenance and scope — GEO came from academia and covers all generative engines, LLMO arose among practitioners and targets LLMs specifically.",
    "see_also": [
      "geo",
      "aeo",
      "share-of-model"
    ],
    "etymology_origin": {
      "value": null,
      "verify_status": "verify-against-primary-at-build",
      "source_hint": "https://ahrefs.com/blog/geo-is-just-seo/ — 'LLMO'/'AIO' are practitioner-coined umbrella terms (2024-2025) with no single coiner or standards body; widely treated as synonyms of GEO"
    },
    "related_to": [
      "geo",
      "aeo",
      "share-of-model",
      "agentic-seo"
    ],
    "contrast_with": "Unlike GEO, which the founding paper scopes to all generative engines, LLMO is the practitioner framing aimed specifically at large language models — but the two share roughly 80% of their methods and are often used interchangeably.",
    "example": "Industry commentary (e.g. Ahrefs, 2025) argues GEO, LLMO and AEO are largely the same practice under different names — 'it's all just SEO'.",
    "source": "https://ahrefs.com/blog/geo-is-just-seo/",
    "status": "active",
    "why_it_matters": "LLMO is one of several near-synonyms a site owner will encounter; disambiguating it from GEO and AEO prevents chasing three 'different' strategies that are really one.",
    "sameAs": [],
    "bridge_entity": "geo",
    "last_verified": "2026-06-15",
    "md_twin": "/glossary/llmo.md"
  }
}