seo-cluster

Grouping keywords for SEO using SERP overlap involves analyzing shared top-10 organic Google results to decide which terms belong together on a single page or require separate URLs. This prevents misaligned pages and builds a targeted content architecture.

A hub-and-spoke topic cluster model organizes content into a pillar page covering a broad topic and spoke pages targeting related subtopics. It uses an internal link matrix to validate the linking strategy and improve overall site structure.

Planning an internal link matrix for pillar and spoke pages requires generating a JSON link adjacency list from your clustered keywords. This defines the linking relationships between pillar and spoke pages to validate your strategy before publishing.

Yes, you need WebSearch or DataForSEO to collect SERP data for keyword clustering. This workflow requires real Google SERP data collection to perform intent classification and accurately group keywords based on actual search result overlap.

Yes, you can visualize your SEO topic clusters before publishing by generating an interactive HTML cluster map. This output allows you to visually validate the hub-and-spoke linking strategy and pillar page structure alongside a cluster-plan JSON file.

Yes, this keyword clustering approach works for automated blog writing when a blog-writing companion skill is available. It provides optional content execution by supplying the pillar and spoke structure with template selection and word-count targets.