refactor(topics): 멀티 에이전트용 지식 재편 — _Common(공통 기본기) + Domain_* 구조

에이전트 8종(대화형/프로그래머 C·S/디자이너/설계자/기획자/QA/PD/PM)에게 [공통 기본 능력 + 롤별 Specialty] 2층으로 지식을 주입하기 위한 재분류. 문서 내용·포맷은 무수정, 폴더 이동만 (6,372개 문서 수 보존 확인). - Topic_Programming → Domain_Programming (내부 구조 보존) - Topic_Graphic → Domain_Design - Topic_Business → Domain_Product - Topic_General → Domain_General - _Common 신설: Math(구 Topic_Math_Specialty), Reasoning(구 General/From_Thinking & Reasoning), Reasoning_Creativity(구 General/From_창의성), Communication(Poetic_Blog_Writing + From_writing) - 타 도메인의 From_* 폴더는 유지 (출처 표기일 뿐, 이미 도메인에 맞게 분류된 문서) - 빈 폴더 정리 (memory/procedures) - 에이전트→폴더 매핑은 workspace의 .astra/agent-knowledge-map.json (9개 에이전트) Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
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+---
+id: wiki-2026-0508-ai-overviews-and-sge
+title: AI Overviews and SGE (Search Generative Experience)
+category: 10_Wiki/Topics
+status: verified
+canonical_id: self
+aliases: [SGE, AI Overviews, Google AI Search, generative search, zero-click search]
+duplicate_of: none
+source_trust_level: B
+confidence_score: 0.85
+verification_status: conceptual
+tags: [sge, ai-overviews, google-search, seo, aeo, citation, zero-click, structured-data]
+raw_sources: []
+last_reinforced: 2026-05-09
+github_commit: pending
+inferred_by: Claude Opus 4.7 (manual cleanup 2026-05-09)
+---
+
+# AI Overviews and SGE
+
+## 📌 한 줄 통찰
+> **Google 의 search 의 매 query 의 AI-generated answer + cited source**. 매 brand 의 매 click 의 lose, 매 citation 의 gain. **Direct answer + structured data + Core Web Vitals 의 critical**.
+
+## 📖 핵심
+
+### Evolution
+1. **PageRank** (1998): link 의 popularity.
+2. **Knowledge Graph** (2012): structured entity.
+3. **BERT / RankBrain** (2018+): semantic.
+4. **SGE** (2023+): generative answer.
+5. **AI Overviews** (2024+): permanent UI.
+
+### 매 component
+- **AI-generated answer**: top of SERP.
+- **Cited source**: 매 link.
+- **Follow-up question**: chat-like.
+- **Traditional results**: below.
+
+### Optimization 의 framework
+
+#### Visual Hierarchy
+- 매 H1 / H2 / H3 의 clear.
+- 매 1 question / heading.
+- 매 short paragraph.
+
+#### Direct Answer
+- 매 H2 (question) 직후 = 1-2 sentence answer.
+- 매 expansion = 다음 paragraph.
+- "Inverted pyramid" (journalism).
+
+#### Schema.org
+- FAQPage / HowTo / Article.
+- Product / Recipe (specific).
+- 매 entity 의 explicit.
+
+#### Core Web Vitals
+- LCP < 2.5s.
+- INP < 200ms.
+- CLS < 0.1.
+
+→ 매 SGE 의 selection signal.
+
+#### E-E-A-T
+- **Experience**: 매 first-hand.
+- **Expertise**: credential / qualification.
+- **Authoritativeness**: 매 domain authority.
+- **Trustworthiness**: secure, accurate.
+
+→ Google 의 quality rater guideline.
+
+### 매 query type 의 SGE behavior
+
+#### Informational ("How to X")
+- AI Overview 가 dominant.
+- 매 step-by-step format.
+
+#### Transactional ("buy X")
+- AI Overview 가 less.
+- 매 product result.
+
+#### Navigational ("Tesla home page")
+- AI Overview 거의 X.
+- 매 direct site.
+
+#### YMYL (Your Money Your Life)
+- 매 strict E-E-A-T.
+- 매 medical / financial / legal.
+- 매 conservative AI Overview.
+
+### Zero-click 의 reality
+- 매 user 의 click 의 ↓.
+- 매 publisher 의 traffic 의 hurt.
+- 매 brand visibility 의 citation 의 trade-off.
+
+### 매 measurement
+
+#### Search Console
+- 매 query 의 AI Overview 의 inclusion.
+- 매 impression / position.
+
+#### 3rd-party
+- Semrush, Ahrefs, BrightEdge.
+- 매 SGE-specific tracking.
+
+#### Self-monitor
+- 매 important keyword 의 manual check.
+- 매 weekly / monthly.
+
+## 💻 Code
+
+### FAQ schema (top citation chance)
+```html
+<script type="application/ld+json">
+{
+  "@context": "https://schema.org",
+  "@type": "FAQPage",
+  "mainEntity": [
+    {
+      "@type": "Question",
+      "name": "How does AI Overview work?",
+      "acceptedAnswer": {
+        "@type": "Answer",
+        "text": "AI Overview generates a summary answer at the top of search results, citing source URLs."
+      }
+    }
+  ]
+}
+</script>
+```
+
+### HowTo schema
+```html
+<script type="application/ld+json">
+{
+  "@context": "https://schema.org",
+  "@type": "HowTo",
+  "name": "How to bake bread",
+  "step": [
+    { "@type": "HowToStep", "name": "Mix flour", "text": "..." },
+    { "@type": "HowToStep", "name": "Knead", "text": "..." }
+  ]
+}
+</script>
+```
+
+### 매 page structure (AI-friendly)
+```html
+<article>
+  <h1>Topic</h1>
+  <p>Direct answer in 1-2 sentence (lead).</p>
+  
+  <h2>What is X?</h2>
+  <p>Brief definition + key points.</p>
+  
+  <h2>Why is X important?</h2>
+  <p>Context + benefit.</p>
+  
+  <h2>How to use X?</h2>
+  <ol>
+    <li>Step 1</li>
+    <li>Step 2</li>
+  </ol>
+  
+  <h2>Common mistakes</h2>
+  <ul>
+    <li>Mistake 1</li>
+  </ul>
+</article>
+```
+
+### Author bio (E-E-A-T)
+```html
+<script type="application/ld+json">
+{
+  "@context": "https://schema.org",
+  "@type": "Person",
+  "name": "Jane Doe",
+  "jobTitle": "Senior AI Researcher",
+  "alumniOf": { "@type": "Organization", "name": "MIT" },
+  "url": "https://janedoe.com"
+}
+</script>
+```
+
+## 🤔 결정 기준
+
+| Query type | Strategy |
+|---|---|
+| Informational | FAQ + HowTo schema |
+| Product | Product schema + reviews |
+| YMYL | E-E-A-T strict |
+| Local | LocalBusiness schema |
+| News | Article + freshness |
+
+**기본값**: Direct answer + FAQ schema + Core Web Vitals + E-E-A-T author info.
+
+## 🔗 Graph
+- 부모: [[SEO]]
+- 변형: [[AI-Answer-Engine-Optimization]] · [[Generative-Engine-Optimization]]
+- 응용: [[Core Web Vitals Optimization (INP, LCP, CLS)|Core-Web-Vitals]]
+- Adjacent: [[Zero-Click-Search]] · [[Knowledge Graph|Knowledge-Graph]]
+
+## 🤖 LLM 활용
+**언제**: Content website 의 SGE traffic 의 capture.
+**언제 X**: 매 internal app. 매 paid-only content.
+
+## ❌ 안티패턴
+- **JS-only render**: bot blind.
+- **Fake schema**: penalty.
+- **Click-bait + AI 의 misalign**: low citation.
+- **No author info**: low E-E-A-T.
+
+## 🧪 검증 / 중복
+- Verified (concept).
+- 신뢰도 B (Google Search Central, Schema.org).
+- Related: [[AI-Answer-Engine-Optimization]] (overlap).
+
+## 🕓 Changelog
+| 날짜 | 변경 |
+|---|---|
+| 2026-05-08 | Phase 1 |
+| 2026-05-09 | Manual cleanup — schema code + E-E-A-T + 결정 |