google-search-console
Compatibility pointer for Search Console performance and indexing analysis; maintained in Open Analytics.
When the user wants to optimize for Featured Snippets, Position Zero, or snippet extraction. Also use when the user mentions "featured snippet," "position zero," "snippet optimization," "answer box," "definition box," "list snippet," "table snippet," "paragraph snippet," "PAA
Claude Code
$ npx -y skills add kostja94/marketing-skills --skill featured-snippet --agent claude-code
Codex
$ npx skills add kostja94/marketing-skills --skill featured-snippet -a codex -y
Cursor
$ npx skills add kostja94/marketing-skills --skill featured-snippet -a cursor -y
Gemini CLI
$ npx skills add kostja94/marketing-skills --skill featured-snippet -a gemini-cli -y
GitHub Copilot
$ npx skills add kostja94/marketing-skills --skill featured-snippet -a github-copilot -y
OpenCode
$ npx skills add kostja94/marketing-skills --skill featured-snippet -a opencode -y
Windsurf
$ npx skills add kostja94/marketing-skills --skill featured-snippet -a windsurf -y
name: 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 zero," "snippet optimization," "answer box," "definition box," "list snippet," "table snippet," "paragraph snippet," "PAA optimization," or "win position zero." For schema, use schema-markup. For step-by-step HowTo sections (lists, copy), use howto-section-generator. metadata: version: 1.0.1
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.
**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](https://www.semrush.com/blog/featured-snippets/)
| 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](https://www.semrush.com/blog/featured-snippets/)
| 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](https://www.searchenginejournal.com/how-bing-q-and-a-featured-snippet-algorithm-works/362716/)
| 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") |
Marketing Skills is an open-source library of reusable marketing and SEO workflows for AI agents. Install the skills your task needs, provide real product context, and get structured work grounded in explicit methods, checks, and source rules.
Compatibility pointer for Search Console performance and indexing analysis; maintained in Open Analytics.
Compatibility pointer for recurring SEO monitoring; maintained in Open Analytics.
Compatibility pointer for AI assistant referrals and generative search visibility; maintained in Open Analytics.
Compatibility pointer for source, UTM and direct-traffic analysis; maintained in Open Analytics.
Compatibility pointer for GA4 event, key-event and User-ID tracking; maintained in Open Analytics.
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