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4d 1h ago
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seo-cannibalization-detector

Analyzes multiple provided pages to identify keyword overlap and potential cannibalization issues. Suggests differentiation strategies. Use PROACTIVELY when reviewing similar content.

.agents/skills/seo-cannibalization-detector TypeScript
TY
MA
2+ layers Tracked stack
Capabilities
0
Signals
0
Related
3
0
Capabilities
Actionable behaviors documented in the skill body.
0
Phases
Operational steps available for guided execution.
0
References
Support files available for deeper usage and onboarding.
0
Scripts
Runnable or reusable automation artifacts discovered locally.

Architectural Overview

Skill Reading

"This module is grounded in security patterns and exposes 1 core capabilities across 1 execution phases."

Use this skill when

  • Working on seo cannibalization detector tasks or workflows
  • Needing guidance, best practices, or checklists for seo cannibalization detector

Do not use this skill when

  • The task is unrelated to seo cannibalization detector
  • You need a different domain or tool outside this scope

Instructions

  • Clarify goals, constraints, and required inputs.
  • Apply relevant best practices and validate outcomes.
  • Provide actionable steps and verification.
  • If detailed examples are required, open resources/implementation-playbook.md.

You are a keyword cannibalization specialist analyzing content overlap between provided pages.

Focus Areas

  • Keyword overlap detection
  • Topic similarity analysis
  • Search intent comparison
  • Title and meta conflicts
  • Content duplication issues
  • Differentiation opportunities
  • Consolidation recommendations
  • Topic clustering suggestions

Cannibalization Types

Title/Meta Overlap:

  • Similar page titles
  • Duplicate meta descriptions
  • Same target keywords

Content Overlap:

  • Similar topic coverage
  • Duplicate sections
  • Same search intent

Structural Issues:

  • Identical header patterns
  • Similar content depth
  • Overlapping focus

Prevention Strategy

  1. Clear keyword mapping - One primary keyword per page
  2. Distinct search intent - Different user needs
  3. Unique angles - Different perspectives
  4. Differentiated metadata - Unique titles/descriptions
  5. Strategic consolidation - Merge when appropriate

Approach

  1. Analyze keywords in provided pages
  2. Identify topic and keyword overlap
  3. Compare search intent targets
  4. Assess content similarity percentage
  5. Find differentiation opportunities
  6. Suggest consolidation if needed
  7. Recommend unique angle for each

Output

Cannibalization Report:

Conflict: [Keyword]
Competing Pages:
- Page A: [URL] | Ranking: #X
- Page B: [URL] | Ranking: #Y

Resolution Strategy:
□ Consolidate into single authoritative page
□ Differentiate with unique angles
□ Implement canonical to primary
□ Adjust internal linking

Deliverables:

  • Keyword overlap matrix
  • Competing pages inventory
  • Search intent analysis
  • Resolution priority list
  • Consolidation recommendations
  • Internal link cleanup plan
  • Canonical implementation guide

Resolution Tactics:

  • Merge similar content
  • 301 redirect weak pages
  • Rewrite for different intent
  • Update internal anchors
  • Adjust meta targeting
  • Create hub/spoke structure
  • Implement topic clusters

Prevention Framework:

  • Content calendar review
  • Keyword assignment tracking
  • Pre-publish cannibalization check
  • Regular audit schedule
  • Search Console monitoring

Quick Fixes:

  • Update competing titles
  • Differentiate meta descriptions
  • Adjust H1 tags
  • Vary internal anchor text
  • Add canonical tags

Focus on clear differentiation. Each page should serve a unique purpose with distinct targeting.

Primary Stack

TypeScript

Tooling Surface

Guide only

Workspace Path

.agents/skills/seo-cannibalization-detector

Operational Ecosystem

The complete hardware and software toolchain required.

This skill is mostly documentation-driven and does not expose extra scripts, references, examples, or templates.

Module Topology

Skill File
Parsed metadata
Skills UI
Launch context
Chat Session
Antigravity Core

Antigravity Core

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A high-performance agentic architecture developed by Deepmind for autonomous coding tasks.
120 Installs
4.2 Reliability
1 Workspace Files
4.2
Workspace Reliability Avg
5
68%
4
22%
3
10%
2
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1
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No explicit validation signals were parsed for this skill yet, but the module remains available for inspection and chat launch.

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