What problem does it solve? Keyword grouping based on text similarity or stemming often produces content architectures that fight each other in search results. This Skill clusters keywords by actual Google SERP overlap, so each page targets a distinct intent and the whole cluster builds topical authority instead of cannibalizing itself. ## Core Features & Use Cases - SERP-Overlap Clustering: Expands a seed keyword into 30-50 variants, then groups them by shared top-10 organic results using defined overlap thresholds (7-10 merge, 4-6 same cluster, 2-3 interlink, 0-1 separate). - Hub-and-Spoke Architecture: Designs a pillar page (2,500-4,000 words) plus 2-5 spoke clusters with intent-matched templates, word count targets, and cannibalization checks. - Internal Link Matrix & Execution: Generates a JSON link adjacency list, structured context blocks for content-generation pipelines, backward-link injection, resume support, and a post-execution scorecard with quality gates. - Use Case: Give it the seed keyword "crm software" and receive a cluster-plan.json with a pillar page, 8-12 spoke posts, intent classifications, a full internal link matrix, and ready-to-write content briefs. ## Quick Start Run the seo-cluster skill with the seed keyword "email marketing software" to produce a clustered content plan and link matrix.
