What problem does it solve? Keyword lists built on text similarity often produce overlapping pages that cannibalize each other in search rankings. This Skill clusters keywords by actual Google SERP overlap, so each page targets a distinct intent and the whole set forms a coherent hub-and-spoke content architecture. ## Core Features & Use Cases - SERP-Overlap Clustering: Expands a seed keyword into 30-50 variants, then groups them by shared top-10 Google results rather than text similarity, with optional DataForSEO integration. - Hub-and-Spoke Architecture: Designs a pillar page plus 2-5 spoke clusters with intent-based template selection, word count targets, and cannibalization checks. - Internal Link Matrix & Visualization: Generates a JSON link adjacency matrix and an interactive cluster-map.html visualization, plus a post-execution quality scorecard. - Use Case: A content marketer enters a seed keyword like "crm software" and receives a full cluster plan: one pillar guide, several spoke posts with assigned templates and keywords, a bidirectional internal linking plan, and content briefs ready for writing. ## Quick Start Ask the agent to run a topic cluster plan for your seed keyword, for example: create a content cluster plan for the keyword "email marketing software".
