Keyword Research
by @aaron-he-zhu
Use when the user asks to "find keywords"; prioritizes volume, difficulty, intent, and clusters from provided or connected data. 关键词研究/内容选题
clawhub install keyword-research📖 About This Skill
name: keyword-research description: 'Find high-value SEO keywords: search volume, difficulty, intent classification, topic clusters. 关键词研究/内容选题' version: "9.9.5" license: Apache-2.0 compatibility: "Claude Code, skills.sh, ClawHub, Vercel Labs, Cursor, Windsurf, Codex CLI, Amp, Gemini CLI, Kimi Code, Qwen Code, CodeBuddy" homepage: "https://github.com/aaron-he-zhu/seo-geo-claude-skills" when_to_use: "Use when starting keyword research for a new page, topic, or campaign. Also when the user asks about search volume, keyword difficulty, topic clusters, long-tail keywords, what to write about, 关键词研究, 挖词, 内容选题, or 搜什么词." argument-hint: "
Keyword Research
Discovers, scores, and clusters keywords for SEO and GEO planning.
Quick Start
Research keywords for [topic/product/service]
What keywords is [competitor URL] ranking for that I should target?
Skill Contract
Expected output: a prioritized keyword brief plus the standard handoff summary for memory/research/.
memory/hot-cache.md, memory/decisions.md, and memory/research/.Handoff Summary
> Emit the standard shape from skill-contract.md §Handoff Summary Format.
Data Sources
Optional integrations: ~~SEO tool, ~~search console. Without tools, ask for seed keywords, audience, goals, and any known metrics. See CONNECTORS.md.
Instructions
When a user requests keyword research, run eight phases and announce each as [Phase X/8: Name]:
1. Scope — clarify product, audience, business goal, DR, geography, and language.
2. Discover — seed from core, problem, solution, audience, and industry terms.
3. Variations — expand with modifiers and long-tail patterns.
4. Classify — tag by intent (informational, navigational, commercial, transactional).
5. Score — assign difficulty (1-100) and compute Opportunity = (Volume × Intent Value) / Difficulty, with Intent Value 1 / 1 / 2 / 3.
6. GEO-Check — flag AI-answer-friendly queries such as questions, definitions, comparisons, lists, and how-tos.
7. Cluster — group keywords into pillar + cluster topic hubs.
8. Deliver — output an Executive Summary, Quick Wins / Growth / GEO opportunities, Topic Clusters, Content Calendar, and Next Steps.
Quality bar: every recommendation includes at least one specific number. Rewrite generic advice into a concrete keyword + volume + difficulty + reason.
> Reference: See references/instructions-detail.md for the full 8-phase templates, expansion patterns, intent table, difficulty tiers, opportunity matrix, GEO indicators, cluster template, actionable-vs-generic examples, and advanced usage.
Example
Example outcome: 150+ keywords analyzed, 23 high-priority opportunities, ~45K/month traffic potential across 3 focus areas. See the full sample in references/example-report.md.
Advanced Usage
Intent mapping, seasonal analysis, competitor gaps, and local keyword workflows live in references/instructions-detail.md.
Tips for Success
Start with seeds, respect intent, cluster tightly, prioritize quick wins, and review quarterly. Full notes live in references/instructions-detail.md.
Save Results
After delivering, offer to save memory/research/keyword-research/YYYY-MM-DD- and promote durable conclusions to memory/hot-cache.md.
Reference Materials
Next Best Skill
Primary: competitor-analysis. Also: content-gap-analysis and serp-analysis.
💡 Examples
Example outcome: 150+ keywords analyzed, 23 high-priority opportunities, ~45K/month traffic potential across 3 focus areas. See the full sample in references/example-report.md.
Advanced Usage
Intent mapping, seasonal analysis, competitor gaps, and local keyword workflows live in references/instructions-detail.md.