Cluster any keyword list into topics with calibrated confidence, see the funnel mix per cluster, and build a hub & spoke site structure, with a calibrated confidence score on every keyword.
Run any keyword set, whether a live Google pull for your topic, a pasted or uploaded list, or your own search history, and Jev groups it into subject topics: keyword grouping by meaning, not string matching. Every assignment carries a calibrated confidence score, so sure calls are trustworthy and ambiguous keywords stay honestly unclustered instead of polluting a group.
Because every keyword is also funnel-classified in the same run, each cluster shows its funnel mix: which topics are awareness content and which are buyer-ready, alongside combined monthly search volume. That cluster-by-funnel matrix is how you pick what to write first.
Semantic clusters tell you the topics. Google SERP clustering tells you the pages: each keyword is googled, its top 10 ranking URLs recorded, and keywords sharing 3+ of the same results are grouped onto one page. That is Google’s own evidence that a single page can rank for all of them. Where the overlap breaks, the keywords deserve separate pages, no matter how similar they look.
Running SERP comparisons inside each topic, rather than across the whole run, keeps groups clean and cuts the cost by an order of magnitude, because you only ever compare keywords that already share a subject. Splitting pages this way is on our roadmap for this tool; the clustering above is what runs today.
Clusters are only useful if they become a plan. The site structure view turns every topic into a hub page with the keywords that deserve their own dedicated pages split out underneath, each page with its primary keyword, supporting keywords, volume, and funnel stage. Publish the hubs, link down to the spokes, and you have the internal linking structure that builds topical authority.