Cannibalization Check
Find query and page overlap from GSC data and recommend consolidation, differentiation, or internal-link fixes. Use when Codex needs to identify and resolve keyword cannibalization issues.
Install
$ agentstack add skill-marketingskills-seo-cannibalization-check ✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.
Security review
✓ PassedNo issues found. Passed automated security review. · v0.1.0 How review works →
- ✓ Prompt-injection patterns
- ✓ Secret / credential exfiltration
- ✓ Dangerous shell & filesystem operations
- ✓ Untrusted network calls
- ✓ Known-malicious package signatures
What it can access
- ✓ Network access No
- ✓ Filesystem access No
- ✓ Shell / process execution No
- ✓ Environment & secrets No
- ✓ Dynamic code execution No
From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.
Verified badge
Passed review? Show it. Paste this badge into your README, it links to the public security report.
Links to your public security report.[](https://agentstack.voostack.com/security/report/skill-marketingskills-seo-cannibalization-check) Reliability & compatibility
Declared compatibility
Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.
We're building live execution health for every listing: tool-call success rate, median latency, uptime, and last-checked timestamps, measured, not self-reported. It isn't live yet, so we don't show numbers we can't stand behind.
How agent discovery & health will work →About
Cannibalization Check
Overview
Analyze GSC query and page data to find situations where multiple pages compete for the same or closely related queries, diluting ranking potential. Recommend consolidation, 301 redirects, or differentiation strategies.
Inputs
- GSC query + page export or live data
- Optional: site content inventory or sitemap
Workflow
- Load GSC data and group queries by semantic similarity.
- For each query group, identify pages that appear for the same query.
- Score cannibalization severity:
- Multiple pages in top 20 for the same query
- Pages splitting clicks/impressions across similar queries
- High-authority page being cannibalized by a lower-authority page
- For each cannibalization instance, recommend:
- Consolidation: 301 to the best page
- Differentiation: adjust targets so pages cover distinct subtopics
- Internal link fix: adjust anchor text and link structure
- Estimate the traffic recovery from resolving each instance.
Output
Cannibalization report with competing page pairs, query overlap, severity score, and fix recommendation.
Source & license
This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.
- Author: marketingskills
- Source: marketingskills/seo
- License: MIT
- Homepage: https://marketingskills.net
Install and usage instructions live in the source repository linked above.
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Versions
- v0.1.0 Imported from the upstream source.