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LLM SEO & Generative Engine Optimization
LLM SEOGenerative Engine OptimizationAI Citation Strategy

LLM SEO & 生成エンジン最適化

AI回答に引用される、埋もれない

73%
AI Citation Rate
Avg. client improvement
6
LLM Platforms
ChatGPT, Perplexity, Gemini, Claude, Copilot, SearchGPT
40+
Entity Signals
Per optimization cycle
30 days
First Results
Typical citation visibility
What Is Generative Engine Optimization (GEO)?

Generative Engine Optimization (GEO) is about structuring your website's content, technical markup, and entity authority so large language models — ChatGPT, Perplexity, Gemini, Claude — cite your brand when they generate answers. Traditional SEO chases blue links. GEO targets the AI synthesis layer, where LLMs decide which sources to select, attribute, and quote.

プロジェクトが失敗する理由

Your competitors are getting cited by ChatGPT Your brand isn't showing up at all. That's an entire traffic channel you're losing as users move away from Google and toward AI-generated answers.
Traditional SEO rankings don't carry over to LLM citations A page-one ranking doesn't mean much when users never click through to search results in the first place.
Your content doesn't have the structured entity signals LLMs need to work with Without clear signals, AI models can't attribute expertise to your brand — so they cite whoever made it easier.
There's no way to measure AI citation performance right now You're guessing while competitors quietly build visibility in generative results.
Your schema markup is outdated or nonexistent LLMs can't parse your authority, your authorship, or what your site is actually about.
Your content was written for humans and Google — not for LLM retrieval AI models skip your pages because they don't find the concise, quotable, fact-dense passages they're looking for.

コンプライアンス

Entity Authority Building

We build and reinforce your brand's knowledge graph presence across Wikidata, Google Knowledge Panels, and structured entity references. LLMs trust brands with strong, consistent entity signals — so that's what we give them.

Structured Data Architecture

We handle deep JSON-LD implementation: Organization, Person, FAQPage, HowTo, and custom schemas where needed. Every piece of content becomes machine-readable and attribution-ready.

AI Citation Monitoring

We track citations across ChatGPT, Perplexity, Gemini, Claude, and Copilot using our own proprietary process. Monthly reports cover citation frequency, context, and how you stack up against competitors.

Quotable Content Engineering

We restructure existing content and build new pages around concise, fact-dense passages — the kind LLMs prefer to quote. Every paragraph gets optimized for extractive summarization.

Topical Authority Mapping

We audit your content graph and close the gaps so LLMs recognize your site as an authority on your core topics. The cluster architecture is built with retrieval-augmented generation in mind.

Source Credibility Signals

Author pages, credential markup, citation networks, trust signals — these are the things LLMs actually look at when deciding which sources to reference. We make your expertise machine-verifiable.

構築する内容

LLM Citation Audit

We query six major AI platforms using your target topics and map exactly where your brand appears, how often, and how that compares to competitors.

Answer Engine Content Strategy

Content briefs and page structures built specifically for LLM retrieval: quotable blocks, definitive statements, entity-rich context throughout.

Knowledge Graph Optimization

Wikidata entries, Google Knowledge Panel claims, cross-platform entity consistency — all of it works together to strengthen your brand's machine-readable identity.

Schema Markup Overhaul

JSON-LD across your entire site, covering 15+ schema types relevant to AI content extraction.

Competitor Citation Analysis

Monthly benchmarking of which competitors get cited, for which queries, and what content patterns are driving their visibility.

RAG-Optimized Technical SEO

Crawlability, content chunking, semantic HTML, internal linking — all optimized for retrieval-augmented generation pipelines.

私たちのプロセス

01

AI Citation Audit

We run your brand through 200+ queries across ChatGPT, Perplexity, Gemini, Claude, and Copilot. You get a baseline citation report showing exactly where you stand and where competitors are pulling ahead.
Week 1
02

Entity & Schema Architecture

We map your brand's entity graph, fix inconsistencies, claim knowledge panels, and build a structured data layer from the ground up. This is the foundation LLMs need to recognize your authority.
Weeks 2-3
03

Content Engineering

We restructure existing pages and create new content with quotable passages, definitive answers, and fact-dense formats. Every page gets an AI-extraction optimization pass before we're done with it.
Weeks 3-5
04

Technical Implementation

JSON-LD deployment, semantic HTML cleanup, internal link architecture, crawl optimization. We ship the technical changes that make your content machine-parseable at scale.
Weeks 5-7
05

Monitor & Iterate

Ongoing citation tracking across all major AI platforms. Monthly reports show citation frequency, new query coverage, and the content adjustments we're making based on what's actually working.
Ongoing
Next.jsSchema.orgJSON-LDVercelGoogle Search ConsoleAhrefsCustom Entity Graphs

よくある質問

生成エンジン最適化(GEO)とは何ですか?

GEOは、ChatGPT、Perplexity、Geminなどのエンティティオーソリティ、引用可能なコンテンツ、構造化マークアップ、ソースの信頼性をLLMが重視するため、ウェブサイトをAIシステムがあなたのブランドを生成された回答で引用するよう最適化する方法です。従来のSEOとは別の規律です。関連していますが、同じものではありません。

LLM SEOは従来のSEOと何が異なりますか?

従来のSEOはGoogleの青いリンクでランキングすることです。LLM SEOは、複数のプラットフォームにわたるAI生成された回答であなたのブランドが引用されることです。シグナルは異なります。LLMはバックリンク量やキーワード密度よりも、エンティティオーソリティ、引用可能なコンテンツ、構造化マークアップ、ソースの信頼性を気にします。どちらも重要ですが、背後には異なる戦略が必要です。

あなたのブランドがChatGPTで引用されることを保証できますか?

どのエージェンシーも特定のAI引用を保証することはできません。LLMの出力は本質的に確率的です。当社が保証できることは、引用の可能性を高める既知のあらゆるシグナルを実装することです:構造化データ、エンティティグラフ、引用可能なコンテンツ、ソースオーソリティ。ほとんどのクライアントは30~60日以内に測定可能な引用改善を見ています。

AI引用をどのように追跡しますか?

ChatGPT、Perplexity、Gemini、Claude、Copilot、SearchGPTにわたってターゲットトピックと競合他社の比較を使用した体系的なクエリを実行します。毎月引用の頻度、コンテキスト、正確なフレーズを記録します。トレンド、新しい引用、失った引用、競合他社がどこに移動しているかを示すダッシュボードを取得できます。

GEOを行う場合でも従来のSEOは必要ですか?

はい。これを理解する価値があります。多くのAIシステムはその検索パイプラインの一部としてウェブ検索結果から取得するため、強力な従来のSEOはLLMの可視性に直接つながります。GEOはSEOに取って代わるものではなく、その上に重ねられるものです。当社の技術的実装は両方のチャネルに同時に利益をもたらすよう設計されています。

生成エンジン最適化から結果が見えるまでどのくらいかかりますか?

ほとんどのクライアントは30日以内に初期的な引用の改善を見ています。特にPerplexityとGeminiでは、検索インデックスをより頻繁に更新しています。ChatGPT引用はトレーニングデータサイクルに応じてさらに時間がかかる場合があります。結果は3~6ヶ月間の継続的な監視と反復にわたって複合します。

LLM SEO & GEO from $8,000
Fixed-fee engagement. Monthly retainer available for ongoing citation monitoring.
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Next.js DevelopmentCore Web Vitals OptimizationCore Web Vitals Complete Guide 2026

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