Build SERP-overlap keyword clusters into hub-and-spoke content architectures.
npx skills add https://github.com/agencedajm/claude-seo --skill seo-cluster-agencedajm
Please help me install this Agent Skill. Skill: seo-cluster Source: https://github.com/agencedajm/claude-seo/tree/main/skills/seo-cluster Command: npx skills add https://github.com/agencedajm/claude-seo --skill seo-cluster-agencedajm
It eliminates guesswork in keyword grouping by turning SERP overlap into a clear hub-and-spoke content architecture that prevents cannibalization and improves internal linking structure.
Run /seo cluster plan "project management software" to generate the cluster plan, internal link matrix, and an interactive cluster map.
High-intent search queries and answers about installing and using this skill.
SERP overlap keyword clustering groups search terms by analyzing shared top-ranking URLs rather than text similarity. This mechanism reveals which keywords belong together in the same topic cluster, preventing content cannibalization and improving your internal linking structure.
To build a hub and spoke content architecture, select a pillar keyword and assign spoke clusters based on intent. The process generates an internal link matrix satisfying structural connectivity rules, ensuring the pillar page links bidirectionally with all supporting spoke pages.
You need SERP data collection via WebSearch or optional DataForSEO integration to plan topic clusters. These dependencies provide the top-ranking URL data required to calculate threshold-based overlap scores and remove navigational keywords from your dataset.
You can generate detailed content briefs automatically from a topic cluster plan. If a dependent blogging skill is installed, the system executes content creation directly; otherwise, it outputs execution-ready briefs containing the necessary structural guidelines.
Keyword grouping shows cannibalization issues when multiple pages target terms that share the same top-ranking URLs. SERP overlap clustering identifies these conflicts early, allowing you to merge terms into a single hub-and-spoke architecture.
The internal link matrix and cluster visualization outputs are generated as cluster-plan.json and cluster-map.html files. These formats provide structured data for execution-ready briefs and an interactive, browsable map for content strategy reporting.
Im5tuGenerate structured content pillars, topic clusters, and production briefs.
dereknguyen269Cluster keywords by SERP overlap to generate hub-and-spoke content plans.
deomiarnGenerate SEO keyword research and map keywords to sitemap pages.
somarjunDesign SERP-based SEO topic clusters with pillar pages and internal linking.
