Keyword Clustering Tool
Paste a keyword list and get it back as topic clusters: the keywords one page can rank for together, the head keyword to target first, the intent behind them, and a title for the page. Up to 200 keywords, with a CSV to take away.
Paste your list
One keyword per line, straight from Search Console, Ahrefs, Semrush, or a spreadsheet. Duplicates and blank lines are cleaned up for you.
Keywords get grouped
Each keyword is matched to the page that could rank for it. Same need, same page type: one cluster. A how-to and a comparison stay apart even when the words overlap.
You get pages to write
Every cluster comes with a head keyword, the search intent, and a title for the page that would win it. Download the CSV and it is a content plan.
What is keyword clustering?
Keyword clustering is sorting a list of search terms into groups that one page can rank for. "best crm for small business", "small business crm software", and "top crm small companies" are three keywords but one searcher need, and Google shows nearly the same results for all of them. Writing three pages for them splits your effort three ways and leaves each page weaker than one good one. Writing one page that covers the cluster wins all three.
The reverse mistake costs just as much. "how to choose a crm" and "crm vs spreadsheet" share words with the cluster above, but a searcher typing them wants a guide, not a product list. Force them onto the comparison page and neither query is served well. Good clustering separates by intent, not by vocabulary.
Head keyword
Every cluster has one keyword the page should be built around: the one with the broadest meaning, usually the most searched. It goes in the title, the first heading, and the URL. The rest of the cluster shows up naturally in subheadings and body text as the page answers the full question.
Search intent
Informational keywords want an answer or a guide. Commercial keywords want a comparison or a recommendation before buying. Transactional keywords want to buy, sign up, or download now. Navigational keywords want one specific site. The intent decides the page type, so two keywords with different intents never share a cluster, whatever their wording.
Keyword cannibalization
When two of your own pages target the same cluster, Google has to pick one, and it often picks differently from week to week. Rankings wobble, links split, and neither page settles. Clustering before you write is the cheapest fix: one cluster, one page, no fight.
A keyword cluster example
Say you exported forty keywords for an invoicing app. The tool might return a cluster like this:
Late Invoice Payments
Page: What to Do When a Client Pays Late (and How to Stop It Next Time)
- ● client not paying invoice
- ○ how to chase an unpaid invoice
- ○ late payment reminder email
- ○ what to do when a client won't pay
- ○ overdue invoice letter
- ○ invoice late fee wording
Six searches, one page. The head keyword is the broadest. The reminder email and late-fee wording become sections of that page rather than thin pages of their own. Do that across the whole list and forty keywords turn into eight or nine pages, each with a clear job.
How to cluster keywords by hand
Two methods exist, and they answer slightly different questions.
SERP clustering: search each keyword, note the top ten URLs, and group keywords whose results overlap by three or more. This is the most accurate method because it uses Google's own judgment of which pages serve which queries. It is also slow: two hundred keywords means two hundred searches, and the results shift over time.
Semantic clustering: group by meaning and intent, the way an editor would when planning a site. It is fast, works on any list, and catches intent splits that SERP overlap sometimes misses. It can be wrong where Google treats two similar phrases as different queries, so spot-check the clusters that matter most against a live search.
The tool on this page does semantic clustering. For a list under two hundred keywords it gives you a plan in under a minute; for the ten clusters you will write first, spend five minutes confirming them in the search results.
From clusters to a content plan
Clusters are pages. The next step is deciding which pages belong together and in what order. Group clusters that share a theme into a pillar, give each pillar one broad page and link the cluster pages up to it, and write the pillar closest to your product first. If you would rather start from your site than from a keyword list, the Topical Map Generator reads your landing page and plans six pillars with thirty article ideas. And once pages are live, the Search Console Audit shows which clusters are close to page one and worth a push.
Clusters are the plan. The pages still have to get written.
blogr.ai turns a plan like this into a publishing calendar for your site, then writes, interlinks, and publishes the pages on a steady schedule. You approve the titles; it does the rest.
Keyword clustering FAQ
What is keyword clustering?
Grouping a list of search terms into sets that one page can rank for together. Searchers phrase the same need many ways, and Google shows nearly the same results for all of them. One page per cluster wins the whole group; one page per keyword splits your effort and leaves every page thin. Clustering is how you find the groups before you write.
How does this tool decide what goes together?
It clusters by meaning and intent, the way an editor planning a site would: same searcher need and same page type land in the same cluster, and a how-to is kept apart from a comparison even when the words overlap. Every keyword you paste lands in exactly one cluster; nothing is dropped or invented. For the clusters you will write first, spot-check them against a live search.
Is it free? Do I need an account?
Free, no account, no card. Paste up to 200 keywords and the first three clusters open right away, with every cluster's name and size visible. Leaving your email opens the rest and downloads the whole grouping as a CSV. Three new lists an hour per visitor; the same list pasted again is always free and instant.
What is a head keyword?
The one keyword in a cluster the page should be built around, usually the broadest and most searched. It belongs in the title, the first heading, and the URL. The other keywords in the cluster show up in subheadings and body text as the page answers the full question.
What does the search intent label mean?
Informational: the searcher wants an answer or a guide. Commercial: they are comparing options before buying. Transactional: they want to buy, sign up, or download now. Navigational: they want one specific site. The intent decides the page type, which is why two keywords with different intents are never clustered together.
Where do I get a keyword list to paste?
Google Search Console is the best free source: export the queries your site already appears for. Ahrefs, Semrush, and Keywords Everywhere export lists for any topic. A competitor's ranking keywords, exported from any of those tools, is another good list. Paste one keyword per line or separated by commas.
Does it work for keywords in other languages?
Yes. The clusters, their names, and the suggested page titles come back in the language of the keywords you paste.
How is this different from SERP-based clustering?
SERP clustering searches every keyword and groups by overlapping results. It is the most accurate method and also the slowest, and results drift over time. This tool clusters semantically, which is fast and catches intent splits that result overlap sometimes misses. Use it to build the plan, then confirm your top ten clusters in the search results.
What do I do with the clusters?
Each cluster is one page. Group clusters that share a theme into a pillar, give the pillar its own broad page, link the cluster pages up to it, and write the pillar nearest your product first. The CSV drops straight into a content calendar. Or hand it to blogr.ai and it writes, interlinks, and publishes the pages on a schedule.