Keyword Clustering Tool

A keyword clustering tool groups keywords that mean the same thing so one page can target the whole group instead of five thin pages. Paste keywords (optionally with volume) and you get clusters with a primary keyword, supporting keywords, the likely page type and a spreadsheet-ready export. Grouping is based on shared words, not live SERP overlap, so confirm important merges in the search results.

Clustering stops you creating five thin pages when one strong page would rank for all of them, and shows which keyword should lead each page.

It runs entirely in your browser. Nothing you paste or upload is sent to a server or stored.

How to read the result and act on it

A good result is a set of groups where every keyword in a group could be answered by the same page, with one clear head term per group. Review each cluster and choose a primary keyword, usually the clearest or most commonly used phrase, and treat the others as supporting terms for headings and body copy. Look at clusters that contain mixed intent, for example a buying phrase beside an educational one, and split them. Then map each cluster to an existing URL or a new page, and note which clusters match pages you already have. Use the grouping as a content plan: the biggest clusters often suggest pillar pages, while small ones become sections or supporting articles.

Common mistakes to avoid

Do not accept clusters blindly. A text-based grouping can merge phrases that look alike but need different pages, such as "seo course" and "seo company", or split phrases that Google treats as one need. Always check the live search results for any pair you are unsure about. Another mistake is clustering a list that contains unrelated topics and expecting tidy output; clean and deduplicate first. Avoid creating one giant page for a cluster of thirty keywords, because focus matters more than coverage. Finally, do not delete the original list after clustering. Keep it, because cluster boundaries change as you learn which pages perform in Search Console.

How does keyword clustering work?

Keywords are grouped when they share enough meaningful words, or, in SERP-based clustering, when the same pages rank for each. This tool uses shared words and ignores a term that appears in almost every keyword, such as your seed topic.

How do I know if two keywords need separate pages?

Search both. If the top results are mostly the same pages, one page can serve both. If the results differ in type, such as a guide versus a service page, they need separate pages.

How many keywords should one page target?

One primary keyword plus the supporting variations that the same answer satisfies. The primary goes in the title and H1; supporting ones belong in subheadings and body copy.

What is the benefit of topic clusters?

A hub page plus supporting pages that link to each other shows depth on a topic, and avoids your own pages competing for the same query.

How many clusters should a keyword list produce?

There is no fixed number. It depends on how varied your topics are. Aim for clusters small enough that one page can answer every keyword in them, and large enough that you are not creating near-duplicate pages.

Should I cluster before or after keyword research?

Cluster after you have collected and cleaned your keywords. Clustering a partial list leads to groups that shift once new terms arrive, so gather first, deduplicate, then group and assign pages.

• Keyword Cannibalization Checker: Upload a Search Console query and page export to find queries where several of your pages compete.
• Keyword-to-Page-Type Mapper: Classify each keyword by intent and suggest the page type that should target it.
• Keyword List Deduplicator: Remove duplicate and near-duplicate keywords, strip punctuation and sort your list.

Browse all 9 free keyword research tools, or see the full free SEO toolbox. If you would rather have this handled for you, take a look at our keyword research services and the results from real projects.