Query Mapping
Analyzes how search engines and AI systems answer specific queries. Maps SERP features, content formats, and citation patterns so you can build pages that win placement.
Quick Start
Map the SERP for [query]
Why is [URL] ranking for [keyword]?
What content format should I use to win [query]?
Engine Contract
- Reads: target queries, current URL if optimizing, competitive landscape
- Writes: SERP feature map, content format recommendation, and optimization checklist
- Promotes: winning formats, schema opportunities, and AI citation patterns to hot cache
- Next handoff: signal packet with format recommendations and content specs
Instructions
Run four phases:
- Deconstruct — identify all SERP features: organic results, featured snippets, People Also Ask, videos, images, knowledge panels, local pack, shopping, AI overview
- Format — for each feature, note the winning content format (list, table, paragraph, video, comparison, how-to)
- Source — analyze which domains are cited in AI overviews or featured snippets and what structural patterns they use
- Blueprint — recommend exact structure, schema type, and content format to compete for each feature
Example
User: "Map query 'best project management software for startups'"
Output:
- Featured snippet: comparison table (Capterra, G2)
- People Also Ask: 4 questions, list and paragraph formats dominate
- AI overview: cites 3 comparison posts with structured pros/cons lists
- Recommendation: Build a comparison table with 6 tools, add FAQ schema, include pros/cons micro-sections
Deliverables
- SERP feature inventory
- Winning format analysis
- AI citation source list
- Content blueprint per feature
Next Best Engine
- Primary: content-engine — build the winning format
- Alternatives: ai-citation-optimizer, snippet-crafter
1---2name: query-mapping3description: Analyze SERP features and AI answer patterns for target queries to optimize content placement. SERP分析/查询映射4license: MIT5---67# Query Mapping89Analyzes how search engines and AI systems answer specific queries. Maps SERP features, content formats, and citation patterns so you can build pages that win placement.1011## Quick Start1213```14Map the SERP for [query]15```1617```18Why is [URL] ranking for [keyword]?19```2021```22What content format should I use to win [query]?23```2425## Engine Contract2627- **Reads**: target queries, current URL if optimizing, competitive landscape28- **Writes**: SERP feature map, content format recommendation, and optimization checklist29- **Promotes**: winning formats, schema opportunities, and AI citation patterns to hot cache30- **Next handoff**: signal packet with format recommendations and content specs3132## Instructions3334Run four phases:35361. **Deconstruct** — identify all SERP features: organic results, featured snippets, People Also Ask, videos, images, knowledge panels, local pack, shopping, AI overview372. **Format** — for each feature, note the winning content format (list, table, paragraph, video, comparison, how-to)383. **Source** — analyze which domains are cited in AI overviews or featured snippets and what structural patterns they use394. **Blueprint** — recommend exact structure, schema type, and content format to compete for each feature4041## Example4243**User**: "Map query 'best project management software for startups'"4445**Output**:46- Featured snippet: comparison table (Capterra, G2)47- People Also Ask: 4 questions, list and paragraph formats dominate48- AI overview: cites 3 comparison posts with structured pros/cons lists49- Recommendation: Build a comparison table with 6 tools, add FAQ schema, include pros/cons micro-sections5051## Deliverables5253- SERP feature inventory54- Winning format analysis55- AI citation source list56- Content blueprint per feature5758## Next Best Engine5960- **Primary**: [content-engine](craft/content-engine/SKILL.md) — build the winning format61- **Alternatives**: [ai-citation-optimizer](craft/ai-citation-optimizer/SKILL.md), [snippet-crafter](craft/snippet-crafter/SKILL.md)
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