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Keyword clustering

In short

Keyword clustering is the process of grouping queries by intent and evidence so each cluster maps to one useful destination or a documented gap.

Mechanism and decision

Keyword clustering groups phrases by the result a searcher expects, then maps each viable group to one existing page or a justified content gap. Shared words alone are not enough: geography, language and intent can make superficially similar phrases require different destinations.

Clean duplicates while preserving original queries and regions. A cluster should finish as an existing target, a scoped missing page, or research with no viable destination—not a pretext for thin near-duplicate pages.

The diagram groups query cards by intent before mapping each group to a single destination page.

What you can control

Clusters are planning hypotheses; SERPs vary by time and place, and volume estimates do not prove demand or conversion.

Practical workflow

  1. Normalize a bounded list and retain location.
  2. Classify intent before using volume as priority.
  3. Inspect result patterns for ambiguous groups.
  4. Map each viable cluster to one target and review overlaps.

FAQ

No. Group queries by the task and expected answer. Similar wording can conceal different needs.
A coherent query group, its intended page, and a reason that page can satisfy the shared need.