Google Search Console · Concept
What is Keyword clustering?
Keyword clustering is grouping search queries by the topic they belong to, so that a subject can be tracked and reported as one line instead of as a hundred individual queries. Each cluster carries the summed impressions, clicks and average position of its queries.
- Reporting38%
- Templates27%
- Pricing14%
- Connectors12%
- Uncategorised9%
Queries grouped into topics, so a cluster moves before any single keyword does.
- Data source
- Google Search Console
- Type
- Concept
Why it matters
A site rarely ranks for one query per page; it ranks for a family of them. Reporting by cluster shows whether the family is growing, which is the question a content plan needs answered, while a query table only shows which member moved.
How to read it
Clusters are built by rules or by similarity, and both leave an "uncategorised" bucket; its size is a measure of how well the clustering fits the site. Check that a cluster does not mix intents, because a topic that combines "what is" queries with "buy" queries will average two different behaviours into one number.
In a Data Studio report
In a Data Studio (formerly Looker Studio) report clusters are a computed dimension over Search Console queries: a table of clusters with keyword count, impressions, clicks, CTR and position, a stacked chart of cluster visibility week by week, and a funnel of how the queries distribute across topics.
Where to find it in Google Search Console
Not in Search Console: the clusters are built in the report from the Queries export under Performance, then Search results.
