beserp Keyword Clustering vs Zenbrief

beserp Keyword Clustering turns keyword exports into a content plan organized by semantic topic, search intent, page type, and priority. It accepts CSV, TSV, and XLSX files and can map keyword, volume, difficulty, CPC, and intent columns when present. Its embeddings-based grouping looks for topical similarity rather than only shared words. Clusters receive a dominant intent label and page-type recommendation, such as a pillar, listicle, comparison, glossary, landing page, or product page. A 0–100 priority score combines search volume, intent strength, and inverse difficulty. Supported exports include Semrush, Ahrefs, Moz, Google Keyword Planner, Google Search Console, Surfer, Lowfruits, and KeywordsPeopleUse, as well as plain CSV files with a keyword column. Results can be exported as a CSV or .ics content calendar, or sent to a paid project as a content brief. A run costs 43 credits, approximately $0.43; signup credits cover 11 runs. There is no subscription, seat charge, or monthly credit reset, and unused credits do not expire. Clustering without a project is stateless, while saving runs to a project is optional.

Zenbrief has no write-up on Specifiction yet; its figures are above.