seo-cluster

SERP-overlap topic clustering groups keywords by shared search engine results rather than text similarity. This approach reveals true hub-and-spoke relationships, enabling you to design pillar pages and spokes that build topic authority through targeted internal linking.

To create a hub-and-spoke content plan, provide a seed keyword or URL. The system validates inputs, groups keywords into pillar and spoke structures using SERP overlap, and outputs a machine-readable cluster plan with internal-linking guidance for downstream execution.

Using SERP overlap for keyword clustering groups keywords based on actual search intent and ranking pages, not just lexical similarity. This ensures your hub-and-spoke architecture reflects how search engines interpret topics, resulting in more accurate internal linking and topic authority.

Yes, you can import an optional SEO strategy into the topic clustering workflow. The system supports strategy imports to guide the SERP-overlap analysis, ensuring the generated pillar plan and interactive cluster map align with your predefined content architecture goals.

Yes, the clustering workflow is designed for compatibility with SEO tooling like DataForSEO. It processes SERP data to generate topic clusters and outputs a machine-readable cluster plan, ensuring seamless integration with your existing search data pipelines and execution tools.

To start generating an interactive cluster map, you only need to provide a seed keyword or URL. The system validates the input, clusters the keywords by SERP overlap into a pillar plan, and produces the visual map alongside a machine-readable file for downstream tooling.