Turn Large Keyword Lists Into Topic Clusters Automatically

I have written an overview on the inner workings of how to build a keyword clustering system using embeddings and density clustering.

This is the new feature coming to SEO Content Machine.

Instead of manually sorting large keyword lists, this approach groups keywords automatically into topic clusters so you can build content hubs and plan articles faster.

In the article see SCM:

• Generating keyword embeddings
• Using density clustering to automatically group topics
• Turning raw keyword lists into structured content clusters
• Preparing clusters for AI article generation

If you work with large keyword datasets this workflow can save a huge amount of time when planning content.

Read the article here:

https://seocontentmachine.com/how-to-build-a-keyword-clustering-system-with-embeddings-and-density-clustering/

More posts are coming in this series showing how these clusters can automatically generate AI article templates and full content plans inside SCM.

Dev logs are here if you are curious:

https://forum.seocontentmachine.com/t/new-theme-new-tools-scm-is-evolving-toward-programmatic-seo-workflows/967/12

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