Keyword Clustering Tool

Keyword clustering involves grouping keywords that are similar to each other together. Essentially a “keyword cluster” is a group of keywords that mean the same topically and can be targeted together on a single page.

Upload your keyword list into Keyword Insights, and we’ll analyse the search engine result pages to group any keywords together where the ranking URLs are the same or similar.

brief illustration

clustering illustration

Optimise for more than one keyword. Get better results.

It’s much easier (and organically rewarding) to create content that can rank for many low-volume, low-difficulty keywords than creating a piece targeting a single high-volume keyword.

Cluster your keywords and aim to rank for groups of keywords.

Learn more about clustering here

Start your trial for $1

Take the guesswork out of content production.

When creating new content, knowing when a particular piece should be broken out into more specific sub-topics can be challenging. For example, if we had the keywords "architect fees" and "how much do architects cost?" would you quickly know whether you need 2 different pages to target these or if they could be targeted on the same blog?

Keyword Insights makes this quick and painless. We use live search results pages and group keywords based on what's ranking. So you’ll know, in seconds, when a page should be broken out into sub-topics to stand the best chance of ranking.

rank illustration

clustering illustration

Find gaps in your content quickly. Like, really quick.

With the flick of a switch, we allow you to pull in your current rank and the ranking URL for each cluster.

This will allow you to spot gaps in your content very quickly... It's just a case of looking for the clusters that don't rank (or rank poorly).

We cluster better. We really do.

We understand every niche is different, so we give you maximum flexibility with your keyword clustering settings. You can adjust the URL overlap (default is 30%), the type of clustering algorithm used and how strict the NLP is to form your topical cluster recommendations.

The Centroid Clustering Algorithm

We take the keyword with the largest search volume and then group all other keywords which share x number of URLs in common with it from the top 10 (x can be changed by you, but it is set at 4 by default).

All keywords in the group will have a common URL (the one with the highest search volume), but they won’t necessarily have common URLs with each other. The group will always be named after the keyword with the most volume. This method of clustering generally results in larger clusters but doesn’t eliminate the chance that irrelevant search queries will be clustered together. Recommended if your keyword list is small (<1000) or you need the results quickly.

The Agglomerative Clustering Algorithm

All keywords are compared against one another and are clustered into a group if they share the x number of URLs in common from the top 10 (x can be changed by you, but it is set at 4 by default).

This approach provides a higher level of accuracy as every keyword in the set shares x amount of URLs in common with each other and not just the keyword with the most volume (as in the centroid version of clustering). It eliminates the chance of irrelevant search queries being clustered. This method of grouping generally results in smaller, tighter clusters but takes a little longer to produce the report as every keyword is being compared against each other. Recommended if you need more accuracy and have time to wait for the report.

algoritm illustration

hubs illustration

We make topical modelling simple.

Once you have your keyword clusters, it may be helpful to know how closely related those clusters are to other clusters. We apply NLP to find the semantic relationship between the clusters.

This allows you to view how similar specific clusters are to one another so that you can easily plan and create a content calendar around a given "topic".

The topical cluster insight is part of the “clustering” insight, so you won’t need to select this as an additional option.

Actionable Insights through Cluster Analysis with Our Algorithm

We understand that analyzing cluster outputs can be a laborious task. That's why we created an in-house algorithm that carefully analyzes your output clusters, selects the best keyword from each cluster, and even highlights it for content briefing and writing.

Our algorithm takes into account search volume and uses a machine learning model to determine the keyword that generates the most articles in Google SERPs. With just a click of a button, you can send the cluster for brief creation, saving you time and effort.

brief illustration

We operate in Google’s world

Unlike some clustering tools which attempt to use Natural Language Processing to group keywords together, we analyse Google search results and group them based on what's ranking. It means we're more accurate.

Please note: We use NLP to "cluster the clusters" together, as detailed in the section above, but not to cluster the keywords together.

Our clustering report uses live, country-specific SERP (Search Engine Results Page) data for each query.
To cluster keywords, we check every keyword in the top 10 results, if a keyword shares 30% or more URLs in common, we’ll determine that they are a cluster (although you are able to adjust this 30% as you see fit).
After processing the data, we turn it into clear visualizations, allowing you to analyze it effortlessly and create content briefs quickly.

Explore our workflow

Discover
keywords

Cluster
keywords

Create
brief

Create
Article

Great content writing starts with excellent planning, and planning can be tedious. Our AI-driven content brief generator is designed to help you outline the perfect article quickly, effortlessly and at scale.

Rectangle 3978 (image)

“Keyword insights has quickly become an essential part of our agency's tool stack. The clustering, intent classification and briefing features help us supercharge our SEO and content team's productivity levels, allowing them to spend more time delivering valuable insights for our clients.”

William Nye

Technical Director at Builtvisible

KWI Clustering vs other tools

Price
Clustering algorithms
Locations and languages
Number of clusters per month
URL overlap
Custom keyword upload
Keyword upload limitation
Topic cluster model
Cluster visualization
Cluster rank tracking
Cluster search intent mapping
Pivoted CSV output
Content creation workflow
Subscription or Pay as you go

$58 per month

$58 per month
Centroids & Agglomerative
Yes
Unlimited
10 URLs, ability to change
Yes
Millions of keywords
Bubble / circular packing
Card and table view
Yes
Yes
Yes
Advanced
Both
Both

$129.95 per month
Agglomerative
Yes
10
2 URLs, not able to adjust
Yes
2000 keywords
Mind map
Table view only
Yes
Yes
Non pivot table
Basic
Subscription only

$24 One time
Centroids & Agglomerative
Yes
Unlimited
9 URLs, ability to change
Yes
Thousands of keywords
No
No
No
No
No
Basic
Pay as you go

$39 One time
Agglomerative
Yes
Unlimited
3 URLs, ability to change
Yes
Thousands of keywords
No
No
No
No
Non pivot table
No
Subscription only

$49 per month
Neural Network Clustering
Yes
Unlimited
No
Yes
Thousands of keywords
No
Mind map
No
No
Non pivot table
No
Both

$58 per month
Yes
Yes
Unlimited
10 URLs, ability to change
Yes
Millions of keywords
Bubble / circular packing
Card and table view
Yes
Yes
Yes
Advance
Both
Get Started

$129.95 per month
Agglomerative
Yes
10
2 URLs, not able to adjust
Yes
2000 keywords
Mind map
Table view only
Yes
Yes
Non pivot table
Basic
Subscription only

$24 One time
Centroids & Agglomerative
Yes
Unlimited
9 URLs, ability to change
Yes
Limited
No
No
No
No
No
Basic
Pay as you go

$39 One time
Agglomerative
Yes
Unlimited
3 URLs, ability to change
Yes
Yes
No
No
No
No
Non pivot table
No
Subscription only

$49 per month
Neural Network Clustering
Yes
Unlimited
No
Yes
Yes
No
Mind map
No
No
Non pivot table
No
Both

Frequently asked questions

We have put together some commonly asked questions.

What countries do you support for keyword clustering?

Why do I have no_cluster in the output?

If the keyword it's not clustered with any keywords, it now either means one of two things:

1) I need to do more research on this word. It interests me, so I'll set it aside and do more research on it in the future. I'm not going into enough depth with my current keyword list.

2) This particular keyword requires a deep dive on just one page.

Solution.

To improve your results, you could add more keywords to your upload. no_cluster means those keywords don't share at least 3 URLs with any other keyword, so if there are any in there that you want to write about or are interesting to you or have a lot of volumes, our recommendation would be to do more research around those terms.

You'll also sometimes see some surprising results (i.e. keywords you THINK should be in a cluster as they're similar to others, like pluralised versions of the same keyword). Still, if you test them, you'll see Google does show very different results.

We recently came across one cluster, "50mm skate wheels", and then a keyword in the no_cluster "50mm skate wheel" (singular version), and we thought it was a bug. We searched both, and, right enough, the results were very different.

Do special characters affect the output?

Special characters are familiar in many languages, such as Norwegian, Thai, Swedish, German etc.

If you use Microsoft Excel or Mac Numbers, please export your files with UTF-8 encoding. Else your special characters will not be exported correctly, and Keyword insights will show you an error.

We highly recommend you upload an Excel XLXS file when dealing with special characters instead CSVs. The CSV encoding can convert special characters into random unreadable text, and it will cause our clustering and topic cluster algorithm to produce incorrect output results.

How many keywords can you support?

We can support up to 4M keywords at a time. Our in-app visualization can handle large quantities of clusters.

However, please be aware that Google Sheets won't work after 5 million cells, so if you want to use the Google Sheets output (which is better), we recommend not uploading more than 150k keywords.

If you upload more than 150k keywords, you can still use the Excel report we provide. It's a little more challenging to use. If this concerns you and you want to upload more than 150k keywords at once, get in touch, and we can help you with some workarounds.

How does Keyword clustering works?

Do I need other SEO tools?

Start your 4-day trial for just $1!

Sign up today for a $1 trial and enjoy access to 6000 keyword clustering credits, 3 Keyword discovery searches, 1 Content Brief and Pro versions of SERP Similarity, SERP Explorer.

Start your trial for $1