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.