seo-cluster

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

Updated Jun 5, 2026
One-click install
npx skills add https://github.com/smarmen86/claude-code-kit --skill seo-cluster-smarmen86
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: seo-cluster
Source: https://github.com/smarmen86/claude-code-kit/tree/main/skills/seo-cluster
Command: npx skills add https://github.com/smarmen86/claude-code-kit --skill seo-cluster-smarmen86

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This skill solves the challenge of creating content architectures that actually rank by using real-world Google SERP overlap data rather than subjective keyword similarity.

Core Features & Use Cases

  • SERP-Overlap Clustering: Groups keywords based on shared top-10 search results to ensure content targets the correct user intent.
  • Hub-and-Spoke Architecture: Automatically designs internal link matrices and pillar-spoke structures to maximize topical authority.
  • Interactive Visualization: Generates browser-ready cluster maps to visualize content coverage and internal linking health.

Quick Start

Invoke the seo-cluster skill to generate a comprehensive content plan for the seed keyword digital marketing.

Frequently Asked Questions about seo-cluster

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

FAQPage Schema
How do I group keywords by search intent using SERP overlap?

You group keywords by SERP overlap to cluster search terms based on shared top-10 Google results, ensuring content targets the correct user intent rather than relying on subjective keyword similarity.

What is the best way to build a hub-and-spoke content strategy for SEO?

The best way to build a hub-and-spoke content strategy is to analyze SERP overlap data to architect pillar-spoke structures, automatically generating internal link matrices that maximize topical authority.

How do I create an internal link matrix for topic clusters?

You create an internal link matrix by mapping semantic topic clusters derived from SERP analysis, facilitating the design of pillar-spoke structures that connect related content and maximize topical authority.

Do I need DataForSEO to analyze SERP overlap for keyword clustering?

You do not strictly need DataForSEO, as standard web search capabilities can also validate keyword relationships and intent classification to perform semantic topic clustering for content planning.

Can I visualize internal linking health and content coverage for SEO planning?

You can visualize internal linking health by generating browser-ready interactive cluster maps, allowing you to easily see content coverage gaps and structural relationships within your topic clusters.

Why use SERP overlap instead of semantic similarity for keyword clustering?

Using SERP overlap instead of semantic similarity solves the challenge of creating content architectures that actually rank by leveraging real-world Google search results to accurately validate keyword relationships and intent.