With this tool, you can extract keywords from content already popular in your niche and use them to build your own. Start with 10 to 20 keywords and 3 clusters to see core themes. Adjust diversity (0 to 1) to control variation. Use auto-cluster to find optimal groupings.
Language models don't count keywords. They convert your content into vectors and extract concepts by semantic weight, not by how often a word appears. A word used once can matter more than one repeated ten times.
This tool shows you that weighting directly: which concepts a model treats as central to your content, and which ones it would skip past as filler.
We'll extract keywords from up to 10 of your URLs and send them to your email.
We've learned to extract keywords from LLM answers, top sources, and competitor content. That's the foundation for optimised content, the kind LLMs actually show. Talk to us, and we'll build it for you, at scale.
