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kostja94

featured-snippet

by Kostja Zhang · GitHub ↗ · v1.0.1 · MIT-0
cross-platform ✓ Security Clean
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Install in OpenClaw
/install featured-snippet
Description
When the user wants to optimize for Featured Snippets, Position Zero, or snippet extraction. Also use when the user mentions "featured snippet," "position ze...
README (SKILL.md)

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 \x3Col> or \x3Cul>; 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: \x3Col>, \x3Cul>, \x3Ctable>, \x3Cp>—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
\x3Col> Steps, rankings, sequences; list snippets
\x3Cul> Non-sequential items; bullet snippets
\x3Ctable> 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
  • 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

Usage Guidance
This skill is a coherent, instruction-only SEO guide for featured-snippet optimization and poses low installation risk. Before installing, consider: (1) Verify the factual claims and dated stats (the markdown cites 2025–2026 figures) against current sources if you rely on them for strategy. (2) The skill references other skills (serp-features, image-optimization); if you install or allow cross-skill use, audit those skills for required credentials or network activity. (3) Because it’s instruction-only, it won’t write files or request secrets, but any agent using it may incorporate user-provided content—avoid feeding sensitive or proprietary data into the agent when asking for page rewrites or optimizations. (4) If you later combine this with automation that runs site updates or publishing, ensure those tools' permissions (e.g., CMS API keys) are limited and audited.
Capability Analysis
Type: OpenClaw Skill Name: featured-snippet Version: 1.0.1 The skill bundle contains SEO documentation and instructions for optimizing web content for Featured Snippets and AI Overviews. The SKILL.md file provides standard industry advice on content structure, HTML tags, and query targeting without any executable code, data exfiltration, or malicious prompt injection attempts.
Capability Assessment
Purpose & Capability
The name/description match the SKILL.md content: practical guidance for Featured Snippets, formats, structure, and targeting. It requests no binaries, credentials, or unrelated resources.
Instruction Scope
SKILL.md contains only guidance and content-structure rules for producing SEO outputs. It does not instruct the agent to read arbitrary files, access environment variables, call external endpoints, or exfiltrate data. It does reference other skills (e.g., serp-features, image-optimization) for context, which is reasonable for cross-skill guidance.
Install Mechanism
No install spec and no code files — instruction-only. This minimizes on-disk execution risk and is proportionate for a documentation/authoring helper.
Credentials
The skill declares no environment variables, credentials, or config paths. That matches its stated purpose and reduces risk—no unexpected secret access is requested.
Persistence & Privilege
always=false and standard model invocation behavior. The skill does not request persistent system changes or modify other skills/configs. Autonomous invocation is allowed by default but is not combined with any elevated privileges here.
How to Use
  1. Make sure OpenClaw is installed (local or Docker)
  2. Run the install command in chat: /install featured-snippet
  3. After installation, invoke the skill by name or use /featured-snippet
  4. Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.1
Automated batch sync
v1.0.0
Automated batch sync
Metadata
Slug featured-snippet
Version 1.0.1
License MIT-0
All-time Installs 1
Active Installs 1
Total Versions 2
Frequently Asked Questions

What is featured-snippet?

When the user wants to optimize for Featured Snippets, Position Zero, or snippet extraction. Also use when the user mentions "featured snippet," "position ze... It is an AI Agent Skill for Claude Code / OpenClaw, with 145 downloads so far.

How do I install featured-snippet?

Run "/install featured-snippet" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.

Is featured-snippet free?

Yes, featured-snippet is completely free, licensed under MIT-0. You can download, install and use it at no cost.

Which platforms does featured-snippet support?

featured-snippet is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).

Who created featured-snippet?

It is built and maintained by Kostja Zhang (@kostja94); the current version is v1.0.1.

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