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seo-cluster

Cluster keywords by Google SERP overlap to build hub-and-spoke content structures.

Updated May 27, 2026
Search Tags:#seo#clustering#content-strategy#internal-linking#topic-modeling#serp
One-click install
npx skills add https://github.com/vtormir-sketch/seo-skills --skill seo-cluster-vtormir-sketch
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: seo-cluster
Source: https://github.com/vtormir-sketch/seo-skills/tree/main/skills/seo-cluster
Command: npx skills add https://github.com/vtormir-sketch/seo-skills --skill seo-cluster-vtormir-sketch

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This skill solves the challenge of disorganized content architecture by grouping keywords based on actual Google search results rather than simple text similarity, preventing keyword cannibalization and ensuring topical authority.

Core Features & Use Cases

  • SERP-Overlap Clustering: Groups keywords by shared top-10 search results to build logical hub-and-spoke content architectures.
  • Automated Planning & Execution: Generates internal link matrices, interactive cluster maps, and content briefs or full blog posts.
  • Use Case: Use this when you need to build a comprehensive pillar page strategy for a new product category to maximize organic search visibility and internal linking efficiency.

Quick Start

Invoke the seo cluster plan command followed by your primary seed keyword to generate a complete content architecture and internal link strategy.

Frequently Asked Questions about seo-cluster

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How does SERP overlap analysis work for semantic topic clustering?▼

SERP overlap analysis groups keywords by shared top-10 Google search results to build logical hub-and-spoke content architectures. It validates keyword relationships and search intent to prevent keyword cannibalization and ensure topical authority.

How do I build a pillar page strategy using semantic topic modeling?▼

To build a pillar page strategy, input a primary seed keyword to generate a complete content architecture. The system performs keyword expansion and intent classification to output automated content briefs and an internal link matrix.

Do I need DataForSEO or WebSearch integration to group keywords by search intent?▼

Yes, you need WebSearch or DataForSEO integration to validate keyword relationships and search intent. These dependencies provide the Google search results required to perform SERP-driven semantic topic clustering.

What is the best way to generate an internal link matrix for a hub-and-spoke content structure?▼

The best way to generate an internal link matrix is using SERP-driven semantic clustering. By analyzing Google SERP overlap, the system automatically maps internal links between hub and spoke pages to maximize linking efficiency.

Why should I use SERP overlap instead of text similarity for keyword clustering?▼

SERP overlap is preferred over text similarity because it groups keywords based on actual Google search results and verified search intent. This approach prevents keyword cannibalization and ensures topical authority.

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