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42-serp-cluster

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Cluster keywords by SERP overlap to map topics.

Data & Analytics#keyword-clustering#topic-clusters#serp#cannibalization#hub-pages#serp-cluster
Authorchapter42
Version1.0.0
Installs0

System Documentation

What problem does it solve?

SERP clustering helps SEO professionals group hundreds or thousands of keywords into topic clusters by shared ranking URLs, reducing cannibalization and guiding hub-page strategy.

Core Features & Use Cases

  • Automatic clustering of keywords by overlapping top URLs to reveal topic groups.
  • Cannibalization detection and hub-page identification to optimize content plans.
  • Scalable for large keyword sets and adaptable to different top-N configurations.

Quick Start

Run python3 scripts/serp_cluster.py --input serp-data.csv --top-n 10 --output serp-clusters.json to generate clustering results.

Dependency Matrix

Required Modules

None required

Components

scripts

💻 Claude Code Installation

Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.

Please help me install this Skill:
Name: 42-serp-cluster
Download link: https://github.com/chapter42/SEO-Skills-42/archive/main.zip#42-serp-cluster

Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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