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Keyword research

Real Google data. An LLM judge that invents nothing.

Not a cheap tool that spits out 5,000 irrelevant keywords. RankCockpit harvests real search data, lets an LLM judge cut ruthlessly and leaves you with the few clusters that actually drive revenue - each with a ready title, meta and structure proposal.

Research with business context - for one to two dollars

You set the market, the language and a short business brief, optionally competitor domains. The run harvests real Google data and documents cost and outcome transparently - one research run costs about one to two dollars.

Keywords
Keyword research form with market, volume floor, competitors and business brief, and below it the list of completed runs with their costs

Clusters that are classified and evidenced

From a median of 729 harvested candidates (range 205 to 1,025 across nine runs), 34 to 131 keywords in 22 to 49 clusters survive the judge - the rest is cut with a stated reason. Every cluster is classified as money or blog, with search volume, difficulty and priority, and carries a clear recommendation: strengthen an existing page or build a new one - including a title, meta and heading structure proposal.

Keywords ยท Cluster
Keyword clusters with money classification, search volume, difficulty, strengthen recommendation and proposed title, meta and H1

What this means for you

  • Fewer but better keywords - the judge kills whatever lacks substance.
  • Money and blog clusters cleanly separated, prioritized by revenue relevance.
  • Every cluster arrives brief-ready - it plugs straight into briefing creation.
  • Full cost control: you see what every run cost you.

This is one of eight modules

Signal engine, content pipeline, briefings, reporting and more are part of it - and after the handover all of it belongs to you.

Get RankCockpit 15-minute demo