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Keyword Clustering Tool: Group Keywords Into Topics Free

Paste a long list of keywords and get them sorted into clean topic groups in seconds. This free keyword clustering tool groups keywords that share the same words and meaning, so you can see which terms belong on the same page. It handles plurals and word order, lets you choose how strict the grouping is, adds up search volume for each group if you include it, suggests the main keyword for each cluster, and exports everything to CSV. It runs in your browser, so your keyword research stays private.

Use it to plan a content calendar, organise keyword research, avoid writing two pages for the same topic, or turn a messy export from your keyword tool into a site structure.

Use the tool
Quick start
1Paste one keyword per line, with volume if you have it
2Choose Strict, Medium or Broad grouping
3Click Cluster keywords
4Rename or move keywords, then download the CSV
Try:
Paste one keyword per line. Add search volume after a comma or tab if you have it, then select Cluster keywords.
Keywords0
Clusters0
Total volume0
0 lines
Your clusters appear here. Rename a cluster, or move a keyword with the arrows button or by dragging it.

Groups are built from shared words, not live search results. Check close calls in a search tool before you give two topics separate pages. Download your CSV before you leave, because nothing is saved.

Private: your keywords are processed in your browser and never uploaded.Up to 30,000 keywords

Topic clusters

Sorts a long keyword list into groups that suit one page each.

Volume per cluster

Adds up volume and suggests the main keyword for each group.

Rename and move

Fix any group by renaming it or moving a keyword to another one.

Private by design

Your keyword research never leaves your browser.

Quick answer
Paste your keywords, one per line, and add volume after a comma or tab if you have it. Pick how strict the grouping should be and press Cluster keywords. Review the groups, rename or move keywords, then download the CSV.

Key Takeaways

  • Clustering groups keywords that one page can answer together, so you plan one page per topic and avoid pages that compete.
  • The tool groups by shared words after it handles plurals, word order, filler words and simple synonyms. It does not use live search results.
  • Strict makes many small groups, Medium is a balanced default and Broad makes fewer, bigger groups.
  • If you add volume, the tool totals it per cluster and suggests the highest volume keyword as the main one.
  • Treat the result as a first pass. Review it, because any automatic grouping can be wrong in places.

How to Use the Keyword Clustering Tool

  1. 1
    STEP 1 Paste your keywords into the box, one per line. If you have search volume, add it after the keyword, separated by a comma or a tab.
  2. 2
    STEP 2 Choose how strict the grouping should be. Strict makes small, tight groups. Broad makes fewer, bigger groups.
  3. 3
    STEP 3 Click Cluster. Your keywords are sorted into groups, each named after its most useful keyword.
  4. 4
    STEP 4 Review the groups. Rename a cluster or drag a keyword to a different cluster if it landed in the wrong place.
  5. 5
    STEP 5 Download the CSV and use each cluster as one page or one section in your content plan.
Open the keyword clustering tool

What Is Keyword Clustering?

Keyword clustering means grouping keywords that mean the same thing or that one page can answer together. For example, "running shoes", "best running shoes" and "buy running shoes" are different words, but one well made page can target all of them. A cluster gives you one topic, one main keyword and a set of supporting terms.

Clustering matters because search engines look at topics, not just single phrases. A page that covers a topic fully can rank for many related searches. Writing a separate page for every small variation splits your effort and can make your own pages compete with each other.

Why Cluster Keywords?

  • Better page planning. Each cluster becomes one page, so you know exactly what to write.
  • Less keyword cannibalization. When two pages target the same terms, they compete with each other. Clusters keep one topic on one page.
  • Cleaner site structure. Clusters that share a theme become categories and internal link groups.
  • More complete content. The keywords in a cluster show subtopics and questions to cover.
  • Faster research. A list of thousands of keywords becomes a manageable set of topics.
  • Clearer priorities. Adding up volume per cluster shows which topics matter most.

Keyword Clustering Example

Here is a small keyword list of twelve terms, with example search volumes, sorted by shared words. The volumes are made up for this example.

Cluster (main keyword)Keywords in the clusterTotal volumeSuggested page
running shoesrunning shoes; best running shoes15,000Main guide to running shoes
running shoes for womenrunning shoes for women; womens running shoes5,500Women running shoes page
trail running shoestrail running shoes; best trail running shoes2,900Trail shoes page
running shoes for flat feetrunning shoes for flat feet800Flat feet buying guide
how to clean running shoeshow to clean running shoes; how to wash running shoes1,100Cleaning how-to article
running socksrunning socks; best running socks1,700Running socks page
marathon training planmarathon training plan4,000Training plan article

Notice that "womens running shoes" and "running shoes for women" ended up together, even though the words are in a different order, and "clean" and "wash" are handled as one how-to topic. A single keyword, such as "marathon training plan", forms its own group because nothing else in the list is about the same topic.

Types of Keyword Clustering

MethodHow it groupsGood and bad
Lexical (word based)Groups keywords that share words, after cleaning plurals and word orderFast, free and easy to understand. Can miss synonyms
Semantic (meaning based)Uses language models to group keywords with the same meaningFinds synonyms. Needs more computing and can group loosely
SERP basedGroups keywords whose search results share the same ranking pagesClosest to how Google sees the topic. Needs live search result data

This tool uses word based clustering, which works well for a first pass on any list. It does not look at live search results. If two keywords look different but you suspect they share one results page, compare the top results for each in your search tool before you decide to give them separate pages.

How Strict Should the Clustering Be?

  • Strict. Keywords must share most of their words. You get many small, precise groups. Choose it when you plan many detailed pages, such as a large directory or shop.
  • Medium. A balanced default for most lists.
  • Broad. Keywords that share a main phrase are grouped, giving fewer, bigger clusters. Choose it for a small site or when you want pillar topics.

If a cluster looks too mixed, move to strict. If you see five clusters that are really one topic, move to broad.

How to Turn Clusters Into a Content Plan

  1. 1Choose the main keyword for each cluster. This is usually the term with the highest search volume that still fits the page.
  2. 2Check the intent. Is the cluster informational, such as a guide or how-to, or commercial, such as a product or category page? Pick the page type to match.
  3. 3Create one page per cluster. Use the main keyword in the title and heading, and work the other keywords into subheadings and text.
  4. 4Add the question style keywords in the cluster to an FAQ.
  5. 5Link related clusters together. A pillar page can link to the pages for each cluster below it.
  6. 6Rank the clusters by total volume and by how easy they look, and write the best ones first.

How to Prepare Your Keyword List

  • Remove duplicates and obvious junk before you cluster.
  • Keep one language and one country per list, so volumes and intent match.
  • Add volume if you have it. Totals per cluster help you rank your topics.
  • Remove brand names of competitors unless you plan content about them.
  • Split very large lists, such as over 10,000 keywords, into several runs for faster results.

Common Keyword Clustering Mistakes

  • Making one giant cluster. If it has dozens of keywords with different intent, split it.
  • Making a page for every variation. Different word order or plural forms rarely need separate pages.
  • Ignoring intent. "Buy running shoes" and "how to clean running shoes" share words but need different pages.
  • Treating clusters as final. Review them, because any automatic grouping can be wrong in places.
  • Forgetting to update. Re-run the tool when you add new keywords.

Is My Keyword List Private?

Yes. Clustering runs in your browser. Your keywords and volumes are not uploaded, saved or shared, so you can use client lists and unpublished research without worry.

Open the tool

More Free SEO and Marketing Tools

Check the clicks you can expect from a ranking with the CTR Calculator, and work out ad costs with the CPM Calculator. Compare two lists of keywords with the Text Compare tool, tidy a keyword list with the Case Converter or List Randomizer, and count words in your pages with the Word Counter.

FAQs

What is a keyword clustering tool?

A keyword clustering tool sorts a long list of keywords into groups of related terms, so each group can be targeted by one page. It saves hours of manual sorting and helps you plan content, avoid duplicate pages and build a clear site structure. This tool groups by shared words and meaning inside your browser.

How does the tool group keywords?

It cleans each keyword by removing filler words and treating plurals as the same, then groups keywords that share the same core words, whatever order they are in. You can set how strict the matching is. It does not use live search results, so check close calls in a search tool.

What is the difference between keyword clustering and keyword grouping?

They mean almost the same thing. Both sort keywords into sets of related terms. Clustering usually suggests grouping by topic or by shared search results in order to plan one page per group, and grouping can be a simpler sort by shared words. This tool does word based clustering.

How many keywords can I cluster at once?

Lists of a few thousand keywords work well in most browsers. Very large lists, such as tens of thousands, can be slow, so split them into several runs. If you are clustering a large list, remove duplicates first and keep each run to one topic area or one language.

Can I include search volume?

Yes. Add the volume after each keyword, separated by a comma or a tab, or paste two columns straight from a spreadsheet. The tool adds up volume per cluster and suggests the highest volume keyword as the main keyword, which helps you choose which clusters to write first.

Should each cluster be one page?

Usually yes, if the keywords share the same intent. One page can target a main keyword and the related terms in its cluster. If the keywords need different page types, such as a guide and a product page, split the cluster. When unsure, look at the top search results for the main terms.

Is this the same as SERP based clustering?

No. This tool groups by words and meaning in the keywords themselves. SERP based clustering looks at which pages rank for each keyword and groups terms that share results. SERP data is closer to how Google sees topics, so use it for important decisions and use this tool for fast first pass sorting.

Is my keyword data safe?

Yes. Everything runs in your browser, and your keywords and volumes are not sent to a server or stored. Close the tab and the list is gone, so download your CSV before you leave. That makes the tool suitable for client lists and unpublished research.

Ready to group your keywords?

Go back to the tool, paste your list and press Cluster keywords.

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