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LLM SEO & Generative Engine Optimization

LLM SEOGenerative Engine OptimizationAI Citation Strategy

LLM SEO & 생성형 엔진 최적화

AI 답변에 인용되기, 묻혀있지 않기

73%

AI Citation Rate

Avg. client improvement

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.

프로젝트가 실패하는 이유

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Your schema markup is outdated or nonexistent LLMs can't parse your authority, your authorship, or what your site is actually about.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.

컴플라이언스

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.

우리가 만드는 것

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.

우리의 프로세스

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

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

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

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

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

자주 묻는 질문

생성형 엔진 최적화(GEO)란 무엇입니까?

GEO는 ChatGPT, Perplexity, Gemini와 같은 AI 시스템이 생성된 답변에서 귀사 브랜드를 인용하도록 웹사이트를 최적화하는 실행 방식입니다. 구조화된 데이터, 엔티티 권위성, 콘텐츠 엔지니어링을 함께 활용하여 LLM이 응답을 합성할 때 귀사의 페이지가 선호되는 출처가 되도록 합니다. 기존 SEO와 관련이 있지만 별개의 분야입니다.

LLM SEO는 기존 SEO와 어떻게 다릅니까?

기존 SEO는 Google의 파란색 링크에서 순위를 매기는 것에 관한 것입니다. LLM SEO는 여러 플랫폼의 AI 생성 답변에서 인용되는 것에 관한 것입니다. 신호가 다릅니다 — LLM은 백링크 수량이나 키워드 밀도보다 엔티티 권위성, 인용 가능한 콘텐츠, 구조화된 마크업, 출처 신뢰도를 더 중요하게 봅니다. 둘 다 중요하지만 서로 다른 전략이 필요합니다.

특정 AI 인용을 보장할 수 있습니까?

어떤 에이전시도 특정 AI 인용을 보장할 수 없습니다. LLM 출력은 확률론적 성격입니다. 우리가 보장할 수 있는 것은 인용 가능성을 높이는 모든 알려진 신호의 구현입니다: 구조화된 데이터, 엔티티 그래프, 인용 가능한 콘텐츠, 출처 권위성. 대부분의 클라이언트는 30~60일 내에 측정 가능한 인용 개선을 확인합니다.

AI 인용은 어떻게 추적합니까?

ChatGPT, Perplexity, Gemini, Claude, Copilot, SearchGPT를 대상 주제 및 경쟁사 비교를 사용하여 체계적으로 쿼리합니다. 매월 인용 빈도, 맥락, 정확한 표현을 기록합니다. 추세, 새로운 인용, 손실된 인용, 경쟁사 이동 위치를 보여주는 대시보드를 얻습니다.

GEO를 진행하면 기존 SEO는 여전히 필요합니까?

필요합니다 — 이것을 이해할 가치가 있습니다. 많은 AI 시스템은 검색 결과 파이프라인의 일부로 웹 검색에서 데이터를 가져오므로 강력한 기존 SEO는 LLM 가시성에 직접 기여합니다. GEO는 SEO를 대체하지 않으며 그 위에 계층을 추가합니다. 우리의 기술 구현은 두 채널을 동시에 지원하도록 설계되었습니다.

생성형 엔진 최적화 결과가 나오기까지 얼마나 걸립니까?

대부분의 클라이언트는 30일 내에 초기 인용 개선을 확인합니다. 특히 검색 인덱스를 더 자주 업데이트하는 Perplexity와 Gemini에서 두드러집니다. ChatGPT 인용은 훈련 데이터 사이클에 따라 더 오래 걸릴 수 있습니다. 결과는 3~6개월의 지속적인 모니터링 및 반복을 통해 누적됩니다.

LLM SEO & GEO from $8,000

Fixed-fee engagement. Monthly retainer available for ongoing citation monitoring.

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Next.js Development Core Web Vitals Optimization Core Web Vitals Complete Guide 2026

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