docs(10_Wiki): 위키 전체 재구성 — Topic_* 폴더를 4개 카테고리로 통합 + 대규모 중복 제거

Topic_Agent/Topic_Blog/Topics/Topics_Biz/Topics_Meeting/Topics_Rag의 마크다운 지식 문서를 Topic_General/Topic_Programming/Topic_Graphic/Topic_Business 4개 카테고리로 재분류. - 중복 제거: frontmatter의 status:duplicate/merged + duplicate_of/redirect_to 필드로 자기 자신을 중복으로 선언한 리다이렉트 stub 1032개 제거, 완전 동일 내용 파일 472개 제거, 동일 파일명·다른 내용 충돌 시 더 큰(완전한) 버전만 유지(162개 제거) — 총 1639개 중복 제거. - 분류: 폴더 단위로 명확한 항목(AI_and_ML/Coding/Architecture 등 → Programming, Comfyui/Visual_Effects → Graphic, Topics_Biz/Topics_Meeting/사업 등 → Business, Poetic_Blog_Writing/창의성/Game_Design 등 → General)은 폴더 우선순위로, 나머지 혼재 폴더(Topic_Agent/Topic_Blog/Topics 루트/Thinking & Reasoning/Other/UI_UX_Assets)는 title/tags 키워드 스코어링으로 파일 단위 분류(불명확한 경우 General로 폴백). 원본 폴더명은 "From_*" 서브폴더로 보존해 추적 가능성 유지. - 최종 배치: Programming 2784 / General 1608 / Graphic 285 / Business 249 = 4926개 문서. - 에이전트 운영 상태(.astra/.agent/.obsidian/sessions/memory/_company/docs/lessons/_shared/src)는 지식 콘텐츠가 아니므로 재분류 대상에서 제외하고 원위치 유지. - Topics/Topic_email(상위 보호 폴더 Topic_email과 파일명 100% 중복) 삭제 — 보호 폴더 자체는 미변경. - 완전히 비게 된 Topic_Agent/Topic_Blog/Topics_Biz/Topics_Rag 폴더 제거.
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+---
+id: wiki-2026-0508-ai-search-optimization
+title: AI Search Optimization
+category: 10_Wiki/Topics
+status: verified
+canonical_id: self
+aliases: [AI SEO, GEO, generative engine optimization, semantic SEO, entity SEO]
+duplicate_of: none
+source_trust_level: B
+confidence_score: 0.85
+verification_status: conceptual
+tags: [ai-search, geo, aeo, semantic-seo, knowledge-graph, entity-seo, e-e-a-t, future-of-search]
+raw_sources: []
+last_reinforced: 2026-05-09
+github_commit: pending
+inferred_by: Claude Opus 4.7 (manual cleanup 2026-05-09)
+---
+
+# AI Search Optimization
+
+## 📌 한 줄 통찰
+> **"Keyword density → Entity authority"**. 매 LLM 의 knowledge graph 의 inclusion. **Semantic + structured + machine-readable + E-E-A-T**. AEO + GEO 의 umbrella.
+
+## 📖 핵심
+
+### 매 search engine 의 era
+1. **Keyword era** (1995-2010): density.
+2. **Link era** (2000-2015): PageRank.
+3. **Semantic era** (2015-2023): BERT, RankBrain.
+4. **Generative era** (2023+): SGE, ChatGPT, Claude, Perplexity.
+
+### AI Search 의 매 component
+
+#### 1. Crawling
+- 매 bot (GPTBot, ClaudeBot, PerplexityBot, GoogleBot).
+- 매 robots.txt 의 control.
+- 매 freshness signal.
+
+#### 2. Indexing
+- 매 content 의 vector embedding.
+- 매 entity recognition.
+- 매 relationship extract.
+
+#### 3. Retrieval
+- 매 query 의 vector match.
+- 매 hybrid (keyword + semantic).
+- 매 freshness boost.
+
+#### 4. Generation
+- 매 LLM 의 매 retrieved context 의 synthesize.
+- 매 citation.
+
+### 매 optimization category
+
+#### GEO (Generative Engine Optimization)
+- 매 generative model 의 cite 의 source.
+- 매 SSR + structured data + Q&A.
+
+#### AEO (Answer Engine Optimization)
+- 매 specific question 의 direct answer.
+- 매 FAQ schema + featured snippet.
+
+#### Semantic SEO
+- 매 entity + relationship.
+- 매 topic cluster.
+- 매 internal link 의 graph.
+
+#### LLM-friendly content
+- 매 short paragraph.
+- 매 numbered / bulleted.
+- 매 self-contained.
+
+### 매 strategy
+
+#### Topic cluster
+- 매 hub page (broad topic).
+- 매 spoke page (specific subtopic).
+- 매 internal link 의 hub-spoke.
+
+#### Entity-first
+- 매 specific entity (Person, Place, Product).
+- 매 schema.org 의 explicit.
+- 매 Wikipedia / Wikidata 의 link.
+
+#### E-E-A-T (Google)
+- Experience: first-hand.
+- Expertise: credential.
+- Authoritativeness: domain.
+- Trustworthiness: secure.
+
+#### Freshness
+- 매 update date.
+- 매 recent example.
+- 매 stale content 의 refresh / archive.
+
+### 매 platform 의 optimization
+
+#### Google
+- Core Web Vitals.
+- E-E-A-T.
+- AI Overviews / SGE.
+
+#### ChatGPT (Browse / Plugins)
+- 매 well-structured page.
+- 매 citation-friendly.
+
+#### Perplexity
+- 매 freshness.
+- 매 academic / authoritative.
+
+#### Claude
+- 매 long-form context.
+- 매 detailed reasoning.
+
+#### Bing / Copilot
+- Bing webmaster.
+- IndexNow protocol.
+
+### 매 metric
+
+#### Traditional
+- Organic traffic.
+- Keyword ranking.
+- Backlink profile.
+
+#### AI-era
+- AI Overview inclusion rate.
+- LLM citation rate (manual check).
+- Brand mention 의 LLM context.
+- Knowledge graph presence.
+
+→ 매 measure 의 emerging tool.
+
+## 💻 Code
+
+### Schema.org Person + Article (E-E-A-T)
+```html
+<script type="application/ld+json">
+[
+  {
+    "@context": "https://schema.org",
+    "@type": "Article",
+    "headline": "Topic",
+    "datePublished": "2026-05-09",
+    "dateModified": "2026-05-09",
+    "author": {
+      "@type": "Person",
+      "name": "Jane Doe",
+      "jobTitle": "Senior AI Researcher",
+      "url": "https://janedoe.com"
+    },
+    "publisher": {
+      "@type": "Organization",
+      "name": "Acme",
+      "logo": { "@type": "ImageObject", "url": "..." }
+    }
+  },
+  {
+    "@context": "https://schema.org",
+    "@type": "Person",
+    "@id": "https://janedoe.com#person",
+    "name": "Jane Doe",
+    "alumniOf": { "@type": "Organization", "name": "MIT" },
+    "knowsAbout": ["Machine Learning", "AI Ethics"]
+  }
+]
+</script>
+```
+
+### Topic cluster (internal link)
+```html
+<!-- Hub: /ai-search -->
+<h1>AI Search Guide</h1>
+<ul>
+  <li><a href="/ai-search/aeo">AEO</a></li>
+  <li><a href="/ai-search/geo">GEO</a></li>
+  <li><a href="/ai-search/sge">SGE</a></li>
+</ul>
+
+<!-- Spoke: /ai-search/aeo links back to hub -->
+<a href="/ai-search">Back to AI Search Guide</a>
+```
+
+### IndexNow (Bing / Yandex)
+```bash
+curl -X POST https://api.indexnow.org/indexnow \
+  -H 'Content-Type: application/json' \
+  -d '{
+    "host": "example.com",
+    "key": "...",
+    "urlList": ["https://example.com/page1", "https://example.com/page2"]
+  }'
+```
+
+### llms.txt (proposal, 2024)
+```txt
+# llms.txt
+# Allow LLM crawler 의 cite
+
+User-agent: *
+Allow: /
+
+# Specific high-value content
+Sitemap: https://example.com/llm-sitemap.xml
+```
+
+## 🤔 결정 기준
+
+| Site type | Priority |
+|---|---|
+| Blog / docs | GEO + AEO + topic cluster |
+| E-commerce | Product schema + review |
+| News | Freshness + Article schema |
+| Local | LocalBusiness + GMB |
+| YMYL | E-E-A-T strict |
+| SaaS | Use case + comparison content |
+
+**기본값**: SSR + schema.org + topic cluster + E-E-A-T author + Core Web Vitals.
+
+## 🔗 Graph
+- 부모: [[SEO]]
+- 변형: [[AI-Answer-Engine-Optimization]] · [[AI-Overviews-and-SGE]] · [[Generative-Engine-Optimization]]
+- 응용: [[Entity-SEO]]
+- Adjacent: [[Knowledge Graph|Knowledge-Graph]]
+
+## 🤖 LLM 활용
+**언제**: Public content site 의 AI traffic 의 strategy.
+**언제 X**: Internal app. Paid-gated content.
+
+## ❌ 안티패턴
+- **Keyword stuffing**: legacy 의 dead.
+- **Schema spam**: penalty.
+- **No internal link**: 매 page 의 isolated.
+- **AI-generated mass content**: low quality flag.
+
+## 🧪 검증 / 중복
+- Verified (concept).
+- 신뢰도 B.
+- Overlap with [[AI-Answer-Engine-Optimization]] / [[AI-Overviews-and-SGE]] (different focus).
+
+## 🕓 Changelog
+| 날짜 | 변경 |
+|---|---|
+| 2026-05-08 | Phase 1 |
+| 2026-05-09 | Manual cleanup — strategy + code + metric + 결정 |