What it is.
Our own workflow, written up with the division of labor spelled out. Ahrefs owns the volume data; Claude owns clustering, intent reclassification and calendar sequencing.
The number that decides whether this is worth doing is intent accuracy. A junior analyst calls a query informational 80% of the time; Claude against SERP context calls it commercial correctly about 90% of the time in our testing.
That 10-point swing moves roughly 15% of a typical content calendar out of the wrong bucket, which is where the return comes from.
What you get.
- The split between what Ahrefs owns and what Claude owns
- The export shape Claude reads most reliably
- Three prompts covering semantic clustering, intent reclassification and calendar prioritization
- Intent accuracy of about 90% against a junior analyst's 80%, and where it drops
- The three calls we keep human, including which cluster to cut despite high volume
- What the finished calendar looks like coming out of the pipeline
Read it at the source.
Read the guide
How accurate is the model half?
What stays with the analyst?
Can AI do keyword research?
Does intent classification change results?
How accurate is AI at classifying search intent?
What should stay human in keyword research?