What is SEO cannibalization?

SEO cannibalization occurs when multiple pages on your website target the same keyword or search intent, causing them to compete against each other and dilute your ranking potential.

How does the SEO Cannibalization Detector work?

The skill analyzes the keywords, titles, and content structure of provided pages to identify overlaps. It then generates a report suggesting whether to merge, differentiate, or redirect pages.

When is the best time to use this skill?

Use it proactively when planning new content, during regular site audits, or when you notice two pages on your site fluctuating in rankings for the same term.

Can this skill help with internal linking?

Yes, it provides an internal link cleanup plan to ensure that anchor text and link structures point to the most authoritative version of a page for a specific topic.

Does it suggest specific technical SEO fixes?

Yes, it provides guidance on implementing canonical tags, 301 redirects, and meta tag updates to resolve identified conflicts.

SEO Cannibalization Detector

Name: SEO Cannibalization Detector
Author: sickn33

bysickn33

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31,721

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Marketing Automation

Identifies and resolves keyword overlap across multiple pages to improve search engine rankings and content clarity.

The SEO Cannibalization Detector is a specialized skill for Claude Code designed to audit web content for competing keywords and overlapping search intent. It systematically analyzes page titles, metadata, and body content to pinpoint where multiple pages are fighting for the same rankings. By providing detailed cannibalization reports, the skill offers actionable resolution strategies—such as content consolidation, 301 redirects, or strategic differentiation—to ensure each page on your site serves a unique purpose and maintains maximum authority in search results.

Key Features

0131,721 GitHub stars

02Search intent comparison across competing pages

03Internal linking cleanup and anchor text optimization plans

04Automated identification of title and meta description conflicts

05Step-by-step resolution strategies including consolidation and canonicalization

06Keyword overlap matrix and topic similarity analysis

Use Cases

01Performing pre-publish checks to ensure new content doesn't compete with established pages

02Consolidating multiple thin-content pages into a single high-authority pillar page

03Auditing existing blog posts to fix ranking conflicts between similar articles

Key Features

0131,721 GitHub stars

02Search intent comparison across competing pages

03Internal linking cleanup and anchor text optimization plans

04Automated identification of title and meta description conflicts

05Step-by-step resolution strategies including consolidation and canonicalization

06Keyword overlap matrix and topic similarity analysis

Use Cases

01Performing pre-publish checks to ensure new content doesn't compete with established pages

02Consolidating multiple thin-content pages into a single high-authority pillar page

03Auditing existing blog posts to fix ranking conflicts between similar articles