A free keyword clustering tool for SEO and content teams. Paste a raw list of keywords (or attach it, or name a topic), and it groups them into clean topic clusters, each with a cluster name, a likely primary keyword, the supporting variants, and a suggested page type. It clusters what you give it and does not invent unrelated terms. Free with no signup.
How to use it
- Paste your keyword list (one per line works well), or attach it, or name a topic.
- Press Generate and your keywords stream in grouped into topic clusters.
- Click Copy and turn each cluster into a page in your content plan.
- Reply in the chat to refine: merge clusters, split a broad one, or focus on one intent.
Example output
Real results from this tool, so you can see what you get before you type anything.
SaaS keyword list
You typeCluster these: project management software, best project management tools, project management app, how to manage remote teams, remote team management tips, async standup, what is async standup, sprint planning, how to run sprint planning, sprint planning template
You getCLUSTER 1: Project management software (commercial, one page)
- project management software
- best project management tools
- project management app
Intent: evaluating and choosing a tool. Page type: comparison or product page.
CLUSTER 2: Managing remote teams (informational, pillar)
- how to manage remote teams
- remote team management tips
Intent: learning a practice. Page type: guide.
CLUSTER 3: Async standups (informational, supporting)
- async standup
- what is async standup
Intent: definition plus how-to. Page type: single explainer covering both.
CLUSTER 4: Sprint planning (informational plus template, supporting)
- sprint planning
- how to run sprint planning
- sprint planning template
Intent: process guidance with a downloadable asset. Page type: guide with template embedded.
Structure: Cluster 2 is the pillar. Clusters 3 and 4 link up to it. Cluster 1 is commercial and links from all three.
Ecommerce keyword list
You typeCluster these: running shoes for flat feet, best shoes flat feet, flat feet arch support shoes, how to know if you have flat feet, flat feet symptoms, plantar fasciitis shoes, shoes for plantar fasciitis running
You getCLUSTER 1: Shoes for flat feet (commercial, one page)
- running shoes for flat feet
- best shoes flat feet
- flat feet arch support shoes
Intent: ready to buy, comparing options. Page type: category or buying guide.
CLUSTER 2: Diagnosing flat feet (informational, top of funnel)
- how to know if you have flat feet
- flat feet symptoms
Intent: self-diagnosis before shopping. Page type: explainer that links to Cluster 1.
CLUSTER 3: Plantar fasciitis footwear (commercial, separate)
- plantar fasciitis shoes
- shoes for plantar fasciitis running
Intent: related but distinct condition. Keep separate: search results for these barely overlap with flat feet terms.
Note: Clusters 1 and 3 look similar but should not be merged. Different condition, different results page, different buyer language.
The problem clustering solves
Writing one page per keyword is the default mistake. It produces several thin pages targeting near-identical intents, and they compete with each other. Search engines have to choose one, they often choose inconsistently, and the ranking that could have gone to a single strong page gets split.
This is keyword cannibalization, and on content-heavy sites it is one of the most common causes of pages that should rank and do not. Three mediocre pages on nearly the same topic reliably lose to one thorough page.
Clustering fixes it upstream. Group by intent first, then decide how many pages you need. Usually the answer is far fewer pages than keywords, which is also good news for the amount of writing involved.
How to decide if two keywords belong together
The reliable method is SERP overlap. Search both terms and compare page one. If several of the same URLs rank for both, search engines consider them the same intent, and one page should target both. If the results barely overlap, they are different intents no matter how similar the words look.
This is why "shoes for flat feet" and "shoes for plantar fasciitis" stay separate despite looking related: the results pages diverge, because the underlying conditions and buyer questions differ.
Then check page type. If one term returns product listings and another returns explainer articles, they need different pages even within the same topic. Intent includes format, not just subject.
Semantic similarity alone is not enough. Two phrases can be near-synonyms and still have distinct results if searchers mean different things by them.
Turning clusters into a site structure
Once clustered, assign each group a role. The broadest informational cluster becomes your pillar page. Narrower clusters become supporting pages that link up to it. Commercial clusters become product, comparison, or buying-guide pages that the informational pages link into.
Link the cluster together deliberately: supporting pages link up to the pillar, the pillar links down to each supporting page, and related supporting pages link across where it genuinely helps a reader. This structure is what signals topical depth rather than a scattering of unrelated posts.
Do the clustering before you write, not after. Retrofitting structure onto 40 published posts means merges, redirects, and rewrites. The pillar content guide covers the structure, and internal linking covers wiring it together.
Using this tool well
Paste your full keyword list rather than a curated selection. Clustering works better with more input, because the groupings emerge from the relationships between terms and a pre-filtered list hides those.
Tell it what you sell and who you serve so it can distinguish commercial from informational intent correctly, which is the split that determines page type.
Then spot-check the borderline groups by actually searching two terms and comparing results. The tool reasons from language and intent patterns; live search results are the ground truth, and the ambiguous cases are exactly where a two-minute check pays for itself.
FAQ
What is keyword clustering?
Grouping keywords that share the same search intent so each group maps to a single page. It prevents multiple pages on your site competing for the same query, which splits ranking signals and usually means none of them rank well.
How do I know if two keywords should be on the same page?
Search both and compare page one. If several of the same URLs rank for both terms, search engines treat them as the same intent and one page should target both. If the results barely overlap, they need separate pages even if the phrases look similar.
What is keyword cannibalization?
When several pages on your site target the same intent and compete with each other. Search engines pick one inconsistently and the ranking gets split, so three thin pages on nearly the same topic lose to one thorough page. Clustering prevents it.
How many keywords should one page target?
One intent, and as many phrasings of that intent as read naturally. That is often five to fifteen related terms. The count matters less than the rule: if two terms would need different page types or different answers, they need different pages.
Is this keyword clustering tool free?
Yes, it is free and needs no signup.
What is keyword clustering?
Keyword clustering groups related search terms that should live on the same page, so you build one strong page per topic instead of many thin pages competing with each other.
Does it use my own keyword list?
Yes. Paste your keywords or attach them and the tool clusters exactly those. If you only give a topic, it suggests a starter set of clusters.
Does it show search volume?
No. It organizes keywords into clusters and suggests pages. Check volume and difficulty for each cluster in a keyword tool.
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