What problem does it solve? SEO teams often hold long keyword lists with no clear plan for which page should target which term, leading to cannibalized rankings and unfocused content. This Skill groups keywords by search intent, assigns each cluster to an existing URL, a new page proposal, or a do-not-target bucket, and detects real cannibalization using Google Search Console query-plus-page data. ## Core Features & Use Cases - Intent-Based Clustering: Groups keywords by SERP intent and page type rather than lexical similarity, with SERP-overlap validation for borderline terms. - Cannibalization Detection: Uses Search Console query and page dimensions to confirm when one query splits impressions across multiple URLs. - Page Assignment & Briefs: Writes per-cluster briefs to marketing/seo/clusters/ with page type, required sections, internal-link targets, and priority, then hands off to seo-content or seo-machine. - Use Case: You have 200 keywords exported from a saved set and need a site map for new SEO pages. Run this Skill to get clusters, page targets, and confirmed cannibalization issues before generating any content. ## Quick Start Cluster the keywords in brand/keyword-plan.md by search intent and map each cluster to an existing or proposed page with cannibalization checks.
