Keyword Research
This is a structured eight-phase workflow that takes you from seed keywords through intent classification, difficulty scoring, and topic clustering. It calculates opportunity scores using volume, intent value, and difficulty, then flags queries likely to trigger AI overviews. The output is concrete: keyword tables with numbers, topic clusters mapped to pillars, and a content calendar. It's designed to replace or supplement tools like Ahrefs and Semrush when you need research inside your development environment. The quality bar is strict: every recommendation must include at least one specific number, no generic advice. Best for early-stage content strategy or quarterly planning when you need structured keyword intelligence without context switching.
- skills.sh installs
- 6.8K
- GitHub stars
- 242
- last updated
- Aug 21, 2026
Install
$ npx -y skills add aaron-he-zhu/seo-geo-claude-skills --skill keyword-research --agent claude-codeInstalls into .claude/skills of the current project.
Files
keyword-research has moved
[!IMPORTANT]
seo-geo-claude-skillsis now a signpost repo — its skills are no longer developed here. This file exists only so older links toresearch/keyword-research/keep resolving.
Active version: seo-geo/research/keyword-research in the aaron-marketing-skills bundle.
Frozen standalone copy (unchanged, tag v9.9.12): research/keyword-research/SKILL.md.
Install the active skill from the bundle:
npx skills add aaron-he-zhu/aaron-marketing-skills -s keyword-research
Full 20 → 16 mapping: see the repo README.
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- Repository
- github.com/aaron-he-zhu/seo-geo-claude-skills
- Categories
- Data Science & ML, Marketing & SEO
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