SEO Cluster
Cluster keywords by SERP overlap and design hub-and-spoke content architecture with...
Install
npx skills add AgriciDaniel/claude-seo --skill seo-cluster -g -a claude-code -y- Repository
- AgriciDaniel/claude-seo25.5k
- Category
- Design
- Updated
- 4d ago
- License
- MIT
- Context cost
- Mediumabout 3,000 tokens
- Runs scripts
- No, instructions only
What it does
Cluster keywords by SERP overlap and design hub-and-spoke content architecture with internal links. Use for planning; `/seo cluster execute` then writes the posts with claude-blog's blog-write skill when it is installed, or content briefs when it is not.
Semantic Topic Clustering
SERP-overlap-driven keyword clustering for content architecture. Groups keywords by how Google actually ranks them (shared top-10 results), not by text similarity. Designs hub-and-spoke content clusters with internal link matrices and generates interactive cluster map visualizations.
Scripts: Located at the plugin root scripts/ directory.
Quick Reference
| Command | What it does |
|---|---|
/seo cluster plan <seed-keyword> | Full planning workflow: expand, cluster, architect, visualize |
/seo cluster plan --from strategy | Import from existing /seo plan output |
/seo cluster execute | Execute plan: create content via claude-blog or output briefs |
/seo cluster map | Regenerate the interactive cluster visualization |
Planning Workflow
Step 1: Seed Keyword Expansion
Expand the seed keyword into 30-50 variants using WebSearch:
- Related searches: Search the seed, extract "related searches" and "people also search for"
- People Also Ask (PAA): Extract all PAA questions from SERP results
- Long-tail modifiers: Append common modifiers: "best", "how to", "vs", "for beginners", "tools", "examples", "guide", "template", "mistakes", "checklist"
- Question mining: Generate who/what/when/where/why/how variants
- Intent modifiers: Add commercial modifiers: "pricing", "review", "alternative", "comparison", "free", "top"
Deduplication: Normalize variants (lowercase, strip articles), remove exact duplicates. Target: 30-50 unique keyword variants. If under 30, run a second expansion pass with the top PAA questions as seeds.
Step 2: SERP Overlap Clustering
This is the core differentiator. Load references/serp-overlap-methodology.md for
the full algorithm.
