What problem does it solve? When multiple pages on the same domain target the same search intent, they split ranking signals and suppress each other in search results. This Skill identifies those competing pages by clustering them on intent overlap rather than surface keyword matching, so you can consolidate, differentiate, or redirect before rankings plateau. ## Core Features & Use Cases - Intent-Based Clustering: Classifies pages across intent type, topic cluster, specificity level, and query form to compute a 0-1 intent overlap score, catching cannibalization even between pages using different keyword variants. - Severity Scoring: Applies an organic footprint filter using estimated traffic and inbound links, then classifies clusters as low, moderate, or critical severity. - Internal Link Exclusions: Generates URL pairs that must not receive mutual internal links until cannibalization is resolved, preventing link-building workflows from reinforcing the problem. - Use Case: A page's ranking has plateaued despite strong content and backlinks. Run this Skill against the domain to discover that two blog posts answer the same informational query, then consolidate the weaker page into the canonical one with a 301 redirect. ## Quick Start Analyze the domain example.com for pages competing with https://example.com/blog/on-page-seo-guide targeting the keyword on-page SEO, and return ranked cannibalization clusters with severity scores.
