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name: seo-cluster description: > SERP-based semantic topic clustering for content architecture planning. Groups keywords by actual Google SERP overlap (not text similarity), designs hub-and-spoke content clusters with internal link matrices, and generates interactive visualizations. Optionally executes content creation if codex-blog is installed. Use when user says "topic cluster", "content cluster", "semantic clustering", "pillar page", "hub and spoke", "content architecture", "keyword grouping", or "cluster plan". user-invokable: true argument-hint: "<seed-keyword or url>" license: MIT metadata: author: AgriciDaniel original_author: "Lutfiya Miller (Pro Hub Challenge Winner)" version: "1.9.6" category: seo

Semantic Topic Clustering (v1.9.0)

Shared Data Cache

Step 0 -- Check shared data cache:

Before gathering, check .seo-cache/ for reusable context from related SEO skills. Reference: ../seo/references/shared-data-cache.md for schemas and dependency map.

Check these cache files when present:

• .seo-cache/site-meta.json for domain, business type, industry, and crawl context

• .seo-cache/audit-scores.json for prior full-audit priorities

• .seo-cache/pages/{url-slug}/page-analysis.json for page-level context when a URL is provided

• If found: parse and use clearly valid fields (note "Using cached [X] from [date]")

• If missing, corrupt, or irrelevant: continue with fresh evidence

• If the user says "refresh" or "re-run": ignore cache reads and overwrite on write

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.

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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 codex-blog or output briefs | | /seo cluster map | Regenerate the interactive cluster visualization |

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Planning Workflow

Step 1: Seed Keyword Expansion

Expand the seed keyword into 30-50 variants using WebSearch:

1. Related searches — Search the seed, extract "related searches" and "people also search for"
2. People Also Ask (PAA) — Extract all PAA questions from SERP results
3. Long-tail modifiers — Append common modifiers: "best", "how to", "vs", "for beginners", "tools", "examples", "guide", "template", "mistakes", "checklist"
4. Question mining — Generate who/what/when/where/why/how variants
5. 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.

Process:

1. Group keywords by initial intent guess (reduces pairwise comparisons)
2. For each candidate pair within a group, WebSearch both keywords
3. Count shared URLs in the top 10 organic results (ignore ads, featured snippets, PAA)
4. Apply thresholds:

| Shared Results | Relationship | Action | |---------------|-------------|--------| | 7-10 | Same post | Merge into single target page | | 4-6 | Same cluster | Group under same spoke cluster | | 2-3 | Interlink | Place in adjacent clusters, add cross-links | | 0-1 | Separate | Assign to different clusters or exclude |

Optimization: With 40 keywords, full pairwise = 780 comparisons. Instead:

• Pre-group by intent (4 groups of ~10 = 4 x 45 = 180 comparisons)
• Only cross-check group boundary keywords
• Skip pairs where both are long-tail variants of the same head term (assume same cluster)

DataForSEO integration: If DataForSEO MCP is available, use serp_organic_live_advanced instead of WebSearch for SERP data. Run python scripts/dataforseo_costs.py check serp_organic_live_advanced --count N before each batch. If "status": "needs_approval", show cost estimate and ask user. If "status": "blocked", fall back to WebSearch.

Step 3: Intent Classification

Classify each keyword into one of four intent categories:

| Intent | Signals | Include in Clusters? | |--------|---------|---------------------| | Informational | how, what, why, guide, tutorial, learn | Yes | | Commercial | best, top, review, comparison, vs, alternative | Yes | | Transactional | buy, price, discount, coupon, order, sign up | Yes | | Navigational | brand names, specific product names, login | No (exclude) |

Remove navigational keywords from clustering. Flag borderline cases for manual review. Keywords can have mixed intent (e.g., "best CRM software" is both commercial and informational) -- classify by dominant intent.

Step 4: Hub-and-Spoke Architecture

Load references/hub-spoke-architecture.md for full specifications.

Design the cluster structure:

1. Select the pillar keyword — Highest volume, broadest intent, most SERP overlap with other keywords
2. Group spokes into clusters — Each cluster is a subtopic area (2-5 clusters per pillar)
3. Assign posts to clusters — Each cluster gets 2-4 spoke posts
4. Select templates per post — Based on intent classification:

| Intent Pattern | Template Options | |---------------|-----------------| | Informational (broad) | ultimate-guide | | Informational (how) | how-to | | Informational (list) | listicle | | Informational (concept) | explainer | | Commercial (compare) | comparison | | Commercial (evaluate) | review | | Commercial (rank) | best-of | | Transactional | landing-page |

5. Set word count targets:

   • Pillar page: 2500-4000 words
   • Spoke posts: 1200-1800 words

6. Cannibalization check — No two posts share the same primary keyword. If SERP overlap is 7+, merge those keywords into a single post targeting both.

Step 5: Internal Link Matrix

Design the bidirectional linking structure:

| Link Type | Direction | Requirement | |-----------|-----------|-------------| | Spoke to pillar | spoke -> pillar | Mandatory (every spoke) | | Pillar to spoke | pillar -> spoke | Mandatory (every spoke) | | Spoke to spoke (within cluster) | spoke <-> spoke | 2-3 links per post | | Cross-cluster | spoke -> spoke (other cluster) | 0-1 links per post |

Rules:

• Every post must have minimum 3 incoming internal links
• No orphan pages (every post reachable from pillar in 2 clicks)
• Anchor text must use target keyword or close variant (no "click here")
• Link placement: within body content, not just navigation/sidebar

Generate the link matrix as a JSON adjacency list:

{
  "links": [
    { "from": "pillar", "to": "cluster-0-post-0", "type": "mandatory", "anchor": "keyword" },
    { "from": "cluster-0-post-0", "to": "pillar", "type": "mandatory", "anchor": "keyword" }
  ]
}

Step 6: Interactive Cluster Map

Generate cluster-map.html using the template at templates/cluster-map.html.

1. Read the template file
2. Build the CLUSTER_DATA JSON object from the cluster plan:

   {
     pillar: { title, keyword, volume, template, wordCount, url },
     clusters: [{ name, color, posts: [{ title, keyword, volume, template, wordCount, url, status }] }],
     links: [{ from, to, type }],
     meta: { totalPosts, totalClusters, totalLinks, estimatedWords }
   }
   

3. Replace the CLUSTER_DATA placeholder in the template with the actual JSON
4. Write the completed HTML file to the output directory
5. Inform user: "Open cluster-map.html in a browser to explore the interactive cluster map."

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Strategy Import

When invoked with --from strategy:

1. Look for the most recent /seo plan output in the current directory (search for files matching *SEO*Plan*, *strategy*, *content-strategy*)
2. Parse markdown tables for: keywords, page types, content pillars, URL structures
3. Validate extracted data: check for duplicates, missing keywords, incomplete entries
4. Enrich with SERP data: run SERP overlap analysis on extracted keywords
5. Build cluster plan using the imported keywords as the starting set (skip Step 1)

If no strategy file is found, prompt the user: "No existing SEO plan found in the current directory. Run /seo plan first, or provide a seed keyword for fresh clustering."

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Execution Workflow

When /seo cluster execute is invoked:

Check for codex-blog

Test: Does ~/.codex/skills/blog/SKILL.md exist?

If codex-blog IS installed:

1. Load references/execution-workflow.md for the full algorithm
2. Read cluster-plan.json from the current directory
3. Check for resume state: scan output directory for already-written posts
4. Execute in priority order: pillar first, then spokes by volume (highest first)
5. For each post, invoke the blog-write skill with cluster context:
   • Cluster role (pillar or spoke)
   • Position in cluster (cluster index, post index)
   • Target keyword and secondary keywords
   • Template type and word count target
   • Internal links to include (with anchors)
   • Links to receive from future posts (placeholder markers)
6. After each post is written, scan previous posts for backward link placeholders and inject the new post's URL
7. After all posts are written, generate the cluster scorecard

If codex-blog is NOT installed:

1. Generate detailed content briefs for each post in the cluster plan
2. Each brief includes:
   • Title and meta description
   • Primary keyword and secondary keywords
   • Template type and suggested structure (H2/H3 outline)
   • Word count target
   • Internal links to include (with anchor text)
   • Key points to cover
   • Competing pages to differentiate from
3. Write briefs to cluster-briefs/ directory as individual markdown files
4. Inform user: "Install codex-blog to auto-create content. Briefs saved to cluster-briefs/."

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Cluster Scorecard

Post-execution quality report. Run automatically after /seo cluster execute or on demand via analysis of the output directory.

| Metric | Target | How Measured | |--------|--------|-------------| | Coverage | 100% | Posts written / posts planned | | Link Density | 3+ per post | Count internal links per post | | Orphan Pages | 0 | Posts with < 1 incoming link | | Cannibalization | 0 conflicts | Check for duplicate primary keywords | | Image Count | 1+ per post | Posts with at least one image | | Pillar Links | 100% | All spokes link to pillar and vice versa | | Cross-Links | 80%+ | Recommended spoke-to-spoke links implemented | | Content Gaps | 0 | Planned posts that were skipped or incomplete |

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Map Regeneration

When /seo cluster map is invoked:

1. Read cluster-plan.json from the current directory
2. Scan output directory and update post statuses (planned vs written)
3. Regenerate cluster-map.html with updated statuses
4. Report: posts written vs planned, link completion percentage

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Output Files

All outputs are written to the current working directory:

| File | Description | |------|-------------| | cluster-plan.json | Machine-readable cluster plan (full data) | | cluster-plan.md | Human-readable cluster plan summary | | cluster-map.html | Interactive SVG visualization | | cluster-briefs/ | Content briefs (if no codex-blog) | | cluster-scorecard.md | Post-execution quality report |

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Cross-Skill Integration

| Skill | Relationship | |-------|-------------| | seo-plan | Import source: strategy import reads seo-plan