The problem.
A flat keyword list with 500 entries is unusable. Without grouping, teams target one keyword per article and miss the bigger picture: which topics need a cluster of content and which keywords can be covered by one comprehensive piece.
How it works.
Keyword import or discovery
Import keywords from a CSV, pull them from Google Search Console, or let RankDraft discover them from competitor analysis during brand onboarding.
Semantic similarity grouping
Keywords are embedded and grouped by semantic similarity. 'content marketing strategy' and 'how to build a content plan' land in the same cluster, not separate articles.
Cluster prioritization
Each cluster shows aggregate volume, average difficulty, and content coverage status. Prioritize clusters where you have the best opportunity to build authority.
Why it matters.
One article per cluster, not per keyword
Stop writing three articles for semantically identical keywords. Clusters tell you which keywords belong on the same page.
Topical authority roadmap
See which topic clusters have content coverage and which need new articles. Plan production around gaps.
Cannibalization prevention
Clustered keywords reveal when multiple existing pages target the same intent before it becomes a ranking problem.