Build topic clusters from what the live SERP actually shows.
Upload a CSV or connect your existing keywords, then let Nozzle cluster terms by overlapping top results so you can build smarter content hubs instead of publishing duplicate pages.
"best coolers for camping" and "best electric cooler for camping" are one word apart and share none of their top 10 results, while "best ice chest for camping" shares 7 of 10: same pages, same topic. Nozzle compares every keyword's top 10 and ties pairs that share 3 or more URLs, and 42 cooler keywords pull apart into two topics with nothing between them. One competitor page is #1 for 19 of the first topic's 25 keywords while the site's own guide ranks on pages 2 to 4 for 22 of them, and it has no page at all for 10 of the second topic's 17. Then the project's 3,086 desktop keywords, mapped the same way.
Film · 40 s
One word apart, no pages shared; different words, 7 of 10. Nozzle groups keywords by the pages Google shows for them.
Unlimited
Keywords per upload
Top 10
SERP results compared
Minutes
To generate clusters
Built-in
Traffic opportunity metrics
Why teams use it
The core reasons teams choose Keyword Clustering.
01
Cluster by SERP overlap
Nozzle compares the top results for each keyword and groups terms when Google shows enough URL overlap to signal the same intent.
02
Find gaps in your content architecture
Map each cluster against your current content to see where one page can cover a topic, where content is cannibalizing itself, and where nothing exists yet.
03
Prioritize with ranking context
Use keyword counts, overlap strength, and traffic opportunity to decide which clusters deserve new pages, updates, or consolidation first.
Common workflows
Where teams apply Keyword Clustering in practice.
Build pillar and cluster briefs
Turn raw keyword exports into content groups your writers and SEOs can actually plan against.
Validate consolidation decisions
Use cluster evidence to combine thin or overlapping pages before investing in another rewrite.
Drill into the SERP behind every cluster
Review the live SERPs and ranking metrics for the keywords inside a cluster before committing to a strategy.
