{
  "study_id": "llmo-public-meaning-audit-2026-07-27",
  "title": "公開Web検索におけるLLMOの意味監査",
  "observed_at_jst": "2026-07-27",
  "methodology": {
    "purpose": "LLMOという同じ表記が、マーケティング、モデル運用、オーケストレーション、数理最適化、暗号署名プロトコル、製品名でどう使い分けられているかを確認する。",
    "collection": "公開Web検索でLLMOと各展開語を組み合わせて取得したページを、異なる意味が含まれるよう目的抽出した。",
    "queries": [
      "LLMO",
      "\"LLMO\" \"Large Language Model Optimization\"",
      "\"LLMO\" \"Large Language Model Operations\"",
      "\"Large Language Model Orchestrator\" LLMO",
      "site:arxiv.org LLMO optimizer",
      "LLMO protocol cryptographic trust layer"
    ],
    "limitations": [
      "検索順位、検索ボリューム、各意味の市場シェアを示す調査ではない。",
      "全検索結果の無作為標本ではなく、意味の混在を確認するための目的抽出である。",
      "ページ内の定義を記録したもので、その定義が業界標準であることを認定しない。",
      "公開後にページ内容、検索結果、用語の使われ方は変わり得る。"
    ]
  },
  "records": [
    {
      "id": "MEANING-01",
      "query": "LLMO",
      "title": "LLMOとは？AI検索時代の集客施策を解説",
      "publisher": "株式会社クリエル",
      "publisher_type": "company",
      "url": "https://www.creal.co.jp/column/seo/14489/",
      "language": "ja",
      "meaning_category": "optimization",
      "expansion_or_definition": "Large Language Model Optimization",
      "context": "AI検索・Webマーケティング",
      "note": "生成AI回答で公式情報が参照・引用される状態を整える施策として説明。"
    },
    {
      "id": "MEANING-02",
      "query": "LLMO",
      "title": "LLMOとは？ マーケに活かす5つの対策をわかりやすく解説",
      "publisher": "Faber Company",
      "publisher_type": "company",
      "url": "https://mieru-ca.com/ai-seo/about_llmo/",
      "language": "ja",
      "meaning_category": "optimization",
      "expansion_or_definition": "Large Language Model Optimization",
      "context": "AI検索・SEO",
      "note": "生成AI回答での表示・引用を扱う便宜的な実務用語として説明。"
    },
    {
      "id": "MEANING-03",
      "query": "LLMO",
      "title": "LLMOとは？（Large Language Model Optimization）",
      "publisher": "Tufe Company",
      "publisher_type": "company",
      "url": "https://tufecompany.co.jp/glossary/llmo",
      "language": "ja",
      "meaning_category": "optimization",
      "expansion_or_definition": "Large Language Model Optimization",
      "context": "AI検索・企業情報",
      "note": "発見、正確な説明、参照元表示を改善する取り組みとして説明。"
    },
    {
      "id": "MEANING-04",
      "query": "LLMOとは",
      "title": "LLMOとは？生成AIに自社を引用させる対策と始め方を解説",
      "publisher": "Cyber Horn",
      "publisher_type": "company",
      "url": "https://cyberhorn.co.jp/blog/llmo-toha/",
      "language": "ja",
      "meaning_category": "optimization",
      "expansion_or_definition": "Large Language Model Optimization",
      "context": "AI検索・集客",
      "note": "ChatGPTやGeminiなどでの自社情報の引用・参照を扱う。"
    },
    {
      "id": "MEANING-05",
      "query": "LLMO対策",
      "title": "LLMO対策とは？AI検索時代に成果を出すための実装方法を徹底解説",
      "publisher": "株式会社ジオコード",
      "publisher_type": "company",
      "url": "https://www.geo-code.co.jp/seo/mag/llmo-implementation-for-ai-search/",
      "language": "ja",
      "meaning_category": "optimization",
      "expansion_or_definition": "Large Language Model Optimization",
      "context": "AI検索・SEO実装",
      "note": "AIが信頼できる情報源として扱える意味・構造の最適化として説明。"
    },
    {
      "id": "MEANING-06",
      "query": "LLMOとは",
      "title": "LLMOとは？対策方法22選やSEOとの違い、効果測定などを解説",
      "publisher": "Coomil",
      "publisher_type": "company",
      "url": "https://coomil.co.jp/column/llmo-measure/",
      "language": "ja",
      "meaning_category": "optimization",
      "expansion_or_definition": "Large Language Model Optimization",
      "context": "AI検索・SEO",
      "note": "生成AIがWeb情報を認識・引用しやすくする施策として説明。"
    },
    {
      "id": "MEANING-07",
      "query": "LLMOとは",
      "title": "LLMOとは？AI検索時代の対策方法やSEOとの違いを分かりやすく解説",
      "publisher": "株式会社アドカル",
      "publisher_type": "company",
      "url": "https://www.adcal-inc.com/column/llmo_seo_meo/ai-seo-llmo/",
      "language": "ja",
      "meaning_category": "optimization",
      "expansion_or_definition": "Large Language Model Optimization",
      "context": "AI検索・SEO",
      "note": "AI回答で自社情報が参照・引用されやすい状態をつくる実務用語として説明。"
    },
    {
      "id": "MEANING-08",
      "query": "\"LLMO\" \"Large Language Model Optimization\"",
      "title": "What Is LLMO? Optimize Content for AI & Large Language Models",
      "publisher": "Search Engine Land",
      "publisher_type": "media",
      "url": "https://searchengineland.com/guides/large-language-model-optimization-llmo",
      "language": "en",
      "meaning_category": "optimization",
      "expansion_or_definition": "Large Language Model Optimization",
      "context": "AI search marketing",
      "note": "AI生成回答でのブランド言及・引用・推薦を増やす実務として説明。"
    },
    {
      "id": "MEANING-09",
      "query": "\"LLMO\" \"Large Language Model Optimization\"",
      "title": "LLMO (Large Language Model Optimization)",
      "publisher": "Conductor",
      "publisher_type": "company",
      "url": "https://www.conductor.com/academy/glossary/llmo-large-language-model-optimization/",
      "language": "en",
      "meaning_category": "optimization",
      "expansion_or_definition": "Large Language Model Optimization",
      "context": "AI search visibility",
      "note": "LLM出力内での可視性と引用を増やすコンテンツ・サイト最適化として説明。"
    },
    {
      "id": "MEANING-10",
      "query": "\"LLMO\" \"Large Language Model Optimization\"",
      "title": "What is Large Language Model Optimization (LLMO)?",
      "publisher": "Aspiration Marketing",
      "publisher_type": "company",
      "url": "https://blog.aspiration.marketing/en/what-is-large-language-model-optimization-llmo",
      "language": "en",
      "meaning_category": "optimization",
      "expansion_or_definition": "Large Language Model Optimization",
      "context": "B2B marketing",
      "note": "AI回答エンジンが発見・理解・引用しやすいデジタル情報へ整える施策として説明。"
    },
    {
      "id": "MEANING-11",
      "query": "\"LLMO\" \"Large Language Model Optimization\"",
      "title": "What Is LLMO? Large Language Model Optimization",
      "publisher": "Vaipm",
      "publisher_type": "company",
      "url": "https://vaipm.ai/jp/en/knowledge/large-language-model-optimization",
      "language": "en",
      "meaning_category": "optimization",
      "expansion_or_definition": "Large Language Model Optimization",
      "context": "AI search measurement",
      "note": "情報を正しく取得・理解・引用しやすくするモデル層の最適化として説明。"
    },
    {
      "id": "MEANING-12",
      "query": "\"LLMO\" \"Large Language Model Optimization\"",
      "title": "What Is LLMO? Large Language Model Optimization Explained",
      "publisher": "BlueJar",
      "publisher_type": "company",
      "url": "https://bluejar.ai/blog/llmo-large-language-model-optimization-guide/",
      "language": "en",
      "meaning_category": "optimization",
      "expansion_or_definition": "Large Language Model Optimization",
      "context": "AI search marketing",
      "note": "ChatGPTなどの生成回答でコンテンツを可視化・引用可能にする施策として説明。"
    },
    {
      "id": "MEANING-13",
      "query": "\"LLMO\" \"Large Language Model Optimization\"",
      "title": "LLMO Framework",
      "publisher": "LLMO Framework",
      "publisher_type": "framework",
      "url": "https://llmoframework.com/",
      "language": "en",
      "meaning_category": "optimization",
      "expansion_or_definition": "Large Language Model Optimization",
      "context": "AI discoverability framework",
      "note": "AIがWebコンテンツを発見・理解・引用できる状態をつくる包括的枠組みとして説明。"
    },
    {
      "id": "MEANING-14",
      "query": "\"LLMO\" \"Large Language Model Optimization\"",
      "title": "LLMO.pro – SEO for AI",
      "publisher": "LLMO.pro",
      "publisher_type": "company",
      "url": "https://llmo.pro/?lang=en",
      "language": "en",
      "meaning_category": "optimization",
      "expansion_or_definition": "Large Language Model Optimization",
      "context": "AI SEO service",
      "note": "LLMやAI Overviewの回答で信頼できる情報源になるためのSEOとして説明。"
    },
    {
      "id": "MEANING-15",
      "query": "\"LLMO\" \"Large Language Model Optimization\"",
      "title": "What Is LLMO?",
      "publisher": "inblog",
      "publisher_type": "company",
      "url": "https://inblog.ai/glossary/llmo",
      "language": "en",
      "meaning_category": "optimization",
      "expansion_or_definition": "Large Language Model Optimization",
      "context": "GEO glossary",
      "note": "AIツールがブランドを言及・引用・推薦しやすくする最適化として説明。"
    },
    {
      "id": "MEANING-16",
      "query": "\"LLMO\" \"Large Language Model Optimization\"",
      "title": "Optimisation pour les moteurs génératifs",
      "publisher": "Wikipédia",
      "publisher_type": "reference",
      "url": "https://fr.wikipedia.org/wiki/Optimisation_pour_les_moteurs_g%C3%A9n%C3%A9ratifs",
      "language": "fr",
      "meaning_category": "optimization",
      "expansion_or_definition": "Large Language Model Optimization",
      "context": "GEO reference",
      "note": "生成AIの出力内で情報の可視性を改善するサービスの別称として記載。"
    },
    {
      "id": "MEANING-17",
      "query": "LLMO protocol cryptographic trust layer",
      "title": "About LLMO",
      "publisher": "LLMO / Diverse.org",
      "publisher_type": "nonprofit_standard",
      "url": "https://www.llmo.org/about/",
      "language": "en",
      "meaning_category": "protocol",
      "expansion_or_definition": "LLMO open protocol",
      "context": "cryptographic identity and provenance",
      "note": "組織のアイデンティティ、主張、来歴を署名して検証する暗号学的トラスト層。"
    },
    {
      "id": "MEANING-18",
      "query": "LLMO protocol cryptographic trust layer",
      "title": "LLMO Specification v0.1",
      "publisher": "LLMO / Diverse.org",
      "publisher_type": "nonprofit_standard",
      "url": "https://llmo.org/spec/v0.1/",
      "language": "en",
      "meaning_category": "protocol",
      "expansion_or_definition": "LLMO open protocol",
      "context": "llmo.json specification",
      "note": "組織が.well-known配下で公開する署名可能な機械可読主張の仕様。"
    },
    {
      "id": "MEANING-19",
      "query": "LLMO protocol cryptographic trust layer",
      "title": "LLMO Spec",
      "publisher": "LLMO / Diverse.org",
      "publisher_type": "nonprofit_standard",
      "url": "https://llmo.org/spec/",
      "language": "en",
      "meaning_category": "protocol",
      "expansion_or_definition": "LLMO open protocol",
      "context": "llmo.json discovery and trust model",
      "note": "llmo.jsonの形式、発見方法、信頼モデル、適合レベルを定義。"
    },
    {
      "id": "MEANING-20",
      "query": "LLMO protocol cryptographic trust layer",
      "title": "LLMO Glossary",
      "publisher": "LLMO / Diverse.org",
      "publisher_type": "nonprofit_standard",
      "url": "https://www.llmo.org/glossary/",
      "language": "en",
      "meaning_category": "protocol",
      "expansion_or_definition": "LLMO protocol vocabulary",
      "context": "protocol terminology",
      "note": "仕様、検証、署名、属性語彙などプロトコル固有用語を定義。"
    },
    {
      "id": "MEANING-21",
      "query": "\"LLMO\" \"Large Language Model Operations\"",
      "title": "EITC/AI/LLMO Large Language Model Operations",
      "publisher": "EITCA Academy",
      "publisher_type": "education",
      "url": "https://es.eitca.org/programas/eitc-ai-llmo-grandes-operaciones-de-modelo-de-lenguaje/",
      "language": "es",
      "meaning_category": "operations",
      "expansion_or_definition": "Large Language Model Operations",
      "context": "model lifecycle engineering",
      "note": "LLMの構築、訓練、適応、評価、展開、保護、運用を扱う教育プログラム。"
    },
    {
      "id": "MEANING-22",
      "query": "\"Large Language Model Orchestrator\" LLMO",
      "title": "LLMO",
      "publisher": "Pit-Nagoya 名古屋中小企業IT化推進コンソーシアム",
      "publisher_type": "consortium",
      "url": "https://pit-n.nagoya-cci.or.jp/glossary/llmo/",
      "language": "ja",
      "meaning_category": "orchestrator",
      "expansion_or_definition": "Large Language Model Orchestrator",
      "context": "multi-model workflow control",
      "note": "複数モデルや処理ステップをまとめて制御する仕組みとして説明。"
    },
    {
      "id": "MEANING-23",
      "query": "site:arxiv.org LLMO optimizer",
      "title": "On the Convergence of Large Language Model Optimizer for Black-Box Network Management",
      "publisher": "arXiv",
      "publisher_type": "academic_preprint",
      "url": "https://arxiv.org/abs/2507.02689",
      "language": "en",
      "meaning_category": "optimizer",
      "expansion_or_definition": "Large Language Model Optimizer",
      "context": "black-box mathematical optimization",
      "note": "LLMを最適化エージェントとして用いる数理・ネットワーク管理の枠組み。"
    },
    {
      "id": "MEANING-24",
      "query": "site:arxiv.org LLMO optimizer",
      "title": "Large Language Model Assisted Adversarial Robustness Neural Architecture Search",
      "publisher": "arXiv",
      "publisher_type": "academic_preprint",
      "url": "https://arxiv.org/abs/2406.05433",
      "language": "en",
      "meaning_category": "optimizer",
      "expansion_or_definition": "LLM-assisted optimizer",
      "context": "neural architecture search",
      "note": "LLMを探索・最適化へ利用する枠組みの略称としてLLMOを使用。"
    },
    {
      "id": "MEANING-25",
      "query": "LLMO",
      "title": "llmo · PyPI",
      "publisher": "PyPI",
      "publisher_type": "package_registry",
      "url": "https://pypi.org/project/llmo/",
      "language": "en",
      "meaning_category": "product_name",
      "expansion_or_definition": "AI pair programmer named llmo",
      "context": "developer CLI package",
      "note": "マーケティング用語やプロトコルではなく、AIペアプログラミングCLIの製品名。"
    }
  ],
  "category_definitions": {
    "optimization": {
      "label": "Optimization",
      "japanese": "生成AI検索・回答での可視性最適化",
      "discriminator": "言及、引用、推薦、AI検索、GEO、SEOなどの語が中心"
    },
    "protocol": {
      "label": "Protocol",
      "japanese": "暗号署名された組織主張の公開プロトコル",
      "discriminator": "llmo.json、署名、JWKS、来歴、検証などの語が中心"
    },
    "operations": {
      "label": "Operations",
      "japanese": "LLMの開発・展開・運用ライフサイクル",
      "discriminator": "訓練、評価、展開、監視、ガバナンスなどの語が中心"
    },
    "orchestrator": {
      "label": "Orchestrator",
      "japanese": "複数モデル・ツール・処理順の制御",
      "discriminator": "ルーティング、ワークフロー、複数モデル、制御などの語が中心"
    },
    "optimizer": {
      "label": "Optimizer",
      "japanese": "LLMを使う数理・探索最適化",
      "discriminator": "目的関数、探索、収束、数値解、最適化エージェントなどの語が中心"
    },
    "product_name": {
      "label": "Product name",
      "japanese": "固有の製品・パッケージ名",
      "discriminator": "一般概念の展開語ではなく、CLIやソフトウェアの固有名"
    }
  },
  "category_counts": {
    "optimization": 16,
    "protocol": 4,
    "operations": 1,
    "orchestrator": 1,
    "optimizer": 2,
    "product_name": 1
  }
}