Group keywords the way Google already does.
Demandscope Strategy Builder clusters keywords by the pages Google shows for them. Keywords that share the same results belong on one page, so you write fewer, stronger pages and stop competing with yourself.
Short answer: A keyword clustering tool puts keywords that can rank with the same page into one group. Demandscope clusters by real Google results: when two searches show the same pages on page one, they go together. Each cluster gets a main keyword, its search volume and a content brief.
Updated 2026-11-02 by the Demandscope team.
What is keyword clustering?
Keyword clustering is the step between keyword research and writing. You start with a long list of keywords and end with a short list of pages to create, each one aimed at a group of searches with the same meaning.
Without it, two common mistakes happen: you write a separate page for "crm for plumbers" and "plumbing crm" (they are the same search), or you try to rank one page for searches that want very different answers.
How Demandscope clusters keywords
Word matching alone is not enough: "cheap crm" and "free crm" share a word but often show different pages. Demandscope looks at what Google actually shows.
- Start from a seed, a website or your own list: Type a topic, a competitor domain, or paste up to 60 keywords of your own.
- Google page one is read for each keyword: The pages that rank are compared keyword by keyword.
- Keywords with shared results are grouped: When searches show the same pages, they become one topic with one main keyword.
- Each topic becomes a page plan: A main page and the pages that support it, with search volume, difficulty and intent for every keyword.
- Get a brief for any page: Headings, questions to answer and a target length, based on the pages that rank today.
Why clustering by search results beats clustering by words
- It follows search intent: Google already decided which searches want the same answer.
- It avoids keyword cannibalization: one page per intent, not three pages fighting for the same spot.
- It handles synonyms and word order: "invoice app for contractors" and "contractor invoicing software" land together when Google treats them the same.
- It gives you a plan, not just a spreadsheet: topics, main pages and supporting pages.
From clusters to rankings
A cluster is only useful if it turns into published pages. In Demandscope, each topic can go to your action plan, and the keywords can go straight to Position Tracking so you see when the new page starts to rank.
For bigger opportunities, the SERP Gap Analyzer finds keywords where page one is weak (forums, outdated or low-authority pages), and the Opportunity Planner groups them into pages to write, improve or defend.
Which plan includes the keyword clustering tool?
Strategy Builder, the SERP Gap Analyzer and the Opportunity Planner are part of the Pro plan and up. Starter includes the other SEO tools: Keyword Explorer, Keyword Overview, Keyword Gap, Site Audit, Position Tracking and more.
Every search shows its price in credits before it starts, and unused credits of a search come back.
Questions
What is the best way to cluster keywords?
Cluster by search results: keywords that show the same pages on Google page one can rank with the same page. Word-based grouping is faster but mixes searches that want different answers.
How many keywords should be in one cluster?
As many as share the same results. Some topics have two or three keywords, others dozens of variations. The main keyword is usually the one with the most searches.
Can I cluster my own keyword list?
Yes. Paste up to 60 keywords in Strategy Builder, or start from a seed keyword or a competitor domain and let Demandscope find the keywords first.
Is keyword clustering the same as topic clusters?
They are linked. Keyword clustering decides which keywords go on one page; a topic cluster is a main page plus the supporting pages that link to it. Strategy Builder gives you both.
Does clustering work in other countries?
Yes. Choose the country whose Google results you want; the clusters follow the pages that rank in that market.
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