Keyword Clustering

Keyword clustering is an SEO strategy that involves grouping semantically related keywords into clusters, where each cluster represents a single search intent that can be addressed by one piece of content. Instead of creating individual pages for every keyword variation, clustering allows you to build comprehensive pages that rank for dozens or even hundreds of related terms simultaneously.

The clustering process typically involves collecting a broad set of keywords, analyzing the search results for each keyword to determine overlap (if two keywords return mostly the same results, they belong in the same cluster), and then grouping keywords by shared intent. Modern approaches use AI and natural language processing to automate this process, analyzing semantic relationships between terms rather than relying solely on SERP overlap.

Effective keyword clustering supports a content strategy built around topic authority. By organizing keywords into clusters, you can create content hubs where a pillar page targets the primary cluster keyword and supporting pages target related sub-topics, all connected through internal links. This approach signals expertise to search engines, prevents keyword cannibalization, and creates a better user experience by providing comprehensive coverage of a topic.