사용 방법
- 설치 명령을 복사하고 자신의 에이전트 환경에 설치하기 전에 소스 패키지를 확인하세요.
- 필요한 도구, 인증 정보, 지원 환경은 원본 문서에서 확인하세요.
- 입력과 원하는 산출물을 설명하고 출처와 결과를 대조하세요.
npx skills add https://github.com/kostja94/marketing-skills --skill featured-snippet시작 전 확인
- 설치에는 모델 구독, API 한도, 파일 접근 권한이 포함되지 않습니다.
- 별점 수와 설치 수는 활동 지표이며 독립적인 품질·보안 검증이 아닙니다.
원본 Skill 문서
원본 저장소의 제목, 예시, 코드, 표, 링크, 이미지를 유지해 표시합니다.
SEO On-Page: Featured Snippet
Guides optimization for Featured Snippets (Position Zero)—direct answers displayed above organic results. Featured snippets appear on ~19% of queries; by 2025, AI Overviews replaced many, but snippet optimization still supports AI citation and PAA. See serp-features for full SERP context.
When invoking: On first use, if helpful, open with 1–2 sentences on what this skill covers and why it matters, then provide the main output. On subsequent use or when the user asks to skip, go directly to the main output.
Scope
- Featured Snippet formats: Paragraph, list, table
- Content structure: Answer-first, H2/H3, semantic HTML
- Query targeting: How, what, why; positions 2–5 opportunity
- AI Overviews: Layered content for both snippets and AI citation
Current Landscape (2025–2026)
- Featured snippets appear on ~19% of search queries
- AI Overviews replaced 83%+ of featured snippets in many regions; appear in ~47% of US searches
- When AI Overviews show, 83% of searches may end without clicks (zero-click)—goal shifts to citation as well as CTR. Featured Snippets also cause zero-click when the answer suffices. See serp-features for zero-click by feature.
- Position zero still captures ~35% of clicks when snippets appear; pages with snippets see ~8% higher organic CTR
- Optimize for both traditional snippets and AI Overviews
Featured Snippet vs AI Overview
Not the same. Featured snippets pull a direct passage from a single webpage. AI Overviews generate multi-source summaries using AI. When both appear, featured snippets still occupy a highly visible spot. Not every query triggers AI Overview—snippet optimization remains valuable. Semrush
Snippet Formats & Share
| Format | Share | Use | Optimization |
|---|---|---|---|
| Paragraph | ~70% | Definition, "what is," "why" | 40–60 words; direct answer after H2 |
| List | ~19% | How-to, steps, options | <ol> or <ul>; semantic HTML |
| Table | ~6% | Comparisons, stats, specs | Clear headers; target keywords in column/row headers |
| Video | Rare | Visual how-to | Video schema; timestamps/chapters; see video-optimization |
45 words is the most common paragraph length. Answer-first format is critical. On mobile, featured snippets can occupy ~50% of the screen, pushing competitors below the fold. Semrush
Content Structure
Answer-First Approach
- Place direct answer in first 1–2 sentences (40–60 words) before any other content
- H2/H3: Use clear headings; Google extracts from content under headings
- Semantic HTML:
<ol>,<ul>,<table>,<p>—avoid divs styled as lists - Inverted pyramid: Answer immediately (for snippet/AI), then add nuance/data that earns clicks
- Objective tone: Write like a dictionary entry—avoid personal opinions and emotional language; supports E-A-T
HTML Structure
| Element | Use |
|---|---|
| H2/H3 | Question or topic; Google recognizes and extracts; list snippets can be compiled from headings across the page—Google pulls H2s and converts to list items |
| `<ol>` | Steps, rankings, sequences; list snippets |
| `<ul>` | Non-sequential items; bullet snippets |
| `<table>` | Comparisons, specs; table snippets; clean rows/columns; H2/H3 intro; target keywords in heading and surrounding content; ensure data is relevant and scannable |
| First paragraph | 40–60 words; direct answer |
Annotations matter: Search engines use semantic labeling to identify relevant blocks ("Fraggles") and extract passages. Structure pages clearly—headings, lists, tables—so crawlers can annotate and pull the right content. Annotations can suggest relationships between blocks, enabling engines to stitch text from multiple parts. SEJ / Bing
Visual Elements
- Optimized images near answers can double CTR by capturing thumbnail slots
- Alt text, captions, file names support Image Pack and snippet thumbnails. See image-optimization for captions and full image SEO; serp-features for Image Pack context.
Query Targeting
| Factor | Guidance |
|---|---|
| Query types | "How," "what," "why" questions; definitional queries |
| Long-tail | Featured snippets typically appear for long-tail (specific) queries; short-tail is broad and less likely |
| Ranking position | Target positions 2–5; snippet ownership often comes from these (not always #1). Prerequisite: Must rank in top ~20 blue links to be considered; Q&A runs through top organic results |
| Q&A memory | Bing (and likely Google) memorize results; you may retain snippet even if blue link ranking drops—once earned, you don't necessarily need to maintain position |
| Intent | Informational; match user intent precisely |
| Tools | PAA (excellent for low-volume, snippet-triggering queries), AnswerThePublic, AlsoAsked, Semrush Keyword Magic Tool (SERP features filter: "Featured snippet") |
How the Algorithm Works (Bing/Google)
- Foundation: Core algorithm ranks blue links; Q&A/Featured Snippet is a modular layer on top—same ranking foundation
- Process: 1) Take top blue link results; 2) Extract or create summary; 3) Identify implicit question each document answers; 4) Match user's question to best implicit question; 5) Feature that answer
- E-A-T: Snippets are E-A-T–based (Bing: "Relevancy" = accuracy/expertise). Correctness first—conforms to accepted opinion, document quality. Then authority and trust (document, author, publisher). See eeat-signals for E-E-A-T implementation.
- Meta descriptions: Do not affect ranking; engines generate descriptions on the fly. Over-optimized or missing meta descriptions lead engines to extract their own—structure helps them choose well. SEJ
GEO / AI Overviews
- Layered content: Clear definitions, lists, steps—AI can cite and summarize
- Self-contained blocks: Each answer readable alone; supports AI extraction
- Schema: FAQPage, HowTo, Article—helps machines understand structure
- See generative-engine-optimization for full GEO strategy
Finding Opportunities
- Manual: Search target keyword; note if snippet appears and format (paragraph/list/table/video)
- PAA: People Also Ask questions often trigger snippets; use as H2 or dedicated page
- Tools: Semrush Keyword Magic Tool—filter by "Featured snippet" in SERP features; "Open SERP" to view current snippet
- Best opportunities: Keywords where you already rank on page 1 (positions 1–10)
Monitoring
- Google Search Console: Identify snippet opportunities; track performance
- Position Tracking (e.g. Semrush): "Featured Snippets" tab—"Already featured" vs "Opportunities"
- Rich Results Test: Validate schema; ensure extraction eligibility
- CTR benchmarks: Snippets ~114% CTR increase vs position #1; adjust expectations when AI Overviews dominate
Output Format
- Target queries (snippet-worthy)
- Format (paragraph/list/table) per query
- Content structure (H2, answer length, semantic HTML)
- Schema if applicable (FAQ, HowTo)
Related Skills
- serp-features: SERP features overview; Featured Snippet in context
- content-optimization: H2 keywords, tables, lists; defers snippet-specific structure to this skill
- faq-page-generator: FAQ format and answer length; FAQ schema for PAA
- howto-section-generator: HowTo sections; list snippets; step copy; HowTo schema alignment
- schema-markup: FAQPage, HowTo for rich results
- heading-structure: H2–H3 hierarchy
- generative-engine-optimization: AI citation; GEO strategy
- eeat-signals: E-E-A-T implementation; authority, trust, author
- image-optimization: Image SEO for snippet thumbnails; alt, captions, file names; captions support snippet context
- video-optimization: Video snippet format; VideoObject; timestamps/chapters
References
- How the Bing Q&A / Featured Snippet Algorithm Works (SEJ)—Bing algorithm, annotations, E-A-T, Q&A memory
- Featured Snippets: What They Are & How to Earn Them (Semrush)—formats, optimization, PAA, tools
