seo-cluster

Cluster seed keywords into SERP-based topic groups with hub-and-spoke planning.

Updated May 5, 2026

Search Tags:#content-architecture #topic-clustering #hub-spoke #seo-strategy #pillar-page #serp-overlap

Ready to run

npx skills add https://github.com/rothwellmawela-cyber/CoexSEO --skill seo-cluster-rothwellmawela-cyber

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: seo-cluster
Source: https://github.com/rothwellmawela-cyber/CoexSEO/tree/main/skills/seo-cluster
Command: npx skills add https://github.com/rothwellmawela-cyber/CoexSEO --skill seo-cluster-rothwellmawela-cyber

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

Turns large keyword lists into SERP-grounded topic clusters, enabling scalable content architecture and clearer topic authority by aligning content plans with Google's actual results.

Core Features & Use Cases

SERP overlap-based clustering to group keywords by shared top results rather than text similarity.
Hub-and-spoke content architecture planning with a pillar page and supporting posts.
Interactive cluster map and exportable outputs (cluster-plan.json) for collaboration and handoffs.
Optional content creation workflow when codex-blog is installed.

Quick Start

Provide a seed keyword or URL to generate a SERP-driven topic cluster plan.

Frequently Asked Questions about seo-cluster

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

FAQPage Schema

How do I cluster keywords for SEO using SERP overlap analysis?▼

SERP overlap analysis groups keywords by shared top Google results rather than text similarity, grounding your topic clusters in actual search intent. This reveals true topical authority boundaries and scalable content architecture.

What is the best way to plan hub-and-spoke content architecture from a large keyword list?▼

Hub-and-spoke content architecture is planned by generating a pillar page surrounded by supporting posts. SERP-driven clustering maps keywords into these groups, producing a structured content calendar and internal linking strategy.

How does SERP overlap analysis work for grouping keywords into topic clusters?▼

SERP overlap analysis works by comparing the top ranking pages for multiple seed keywords. When keywords share the same URLs in Google's results, they are grouped into a single topic cluster, indicating shared search intent.

Can I export my topic cluster plan for content team collaboration?▼

Yes, you can export your topic cluster plan. The tool outputs a machine-readable cluster-plan.json file containing the full SERP-driven cluster data, enabling seamless handoffs and collaboration for SEO content teams.

Do I need a seed keyword or URL to start generating a topic cluster plan?▼

You need either a seed keyword or a URL to start generating a topic cluster plan. Providing this initial input allows the SERP overlap analysis to identify related terms and structure them into pillar pages and supporting posts.

When should I use SERP-based clustering instead of text similarity for content strategy?▼

Use SERP-based clustering instead of text similarity when you need to align your content strategy with Google's actual results. This grounds your topic clusters in real search intent, ensuring pillar pages target genuine SERP overlap.