9 Ways To Create Keyword Clustering By Attributes

9 Ways To Create Keyword Clustering By Attributes

What are the keyword clusters?

A keyword cluster consists of one or more keywords that are in a defined relationship with each other. This connection between keywords forms common properties.

To put it, they are keyword lists with the same characteristics. So it’s not about any Rakuten science, it’s about putting keywords into lists, then analyzing them or creating order through a structure.

Different tools have different terms for keyword clusters. In the project area of ​​Searchmetrics and at ahrefs, one speaks, for example of Keyword Tags. In the tooltip, Searchmetrics writes, “Add keywords to your project and associate those tags. In this way, you can group keywords and analyze them as a group, for example. “Even if the term varies from tool provider to tool provider, the primary function is the same at first everywhere.

Why do I need keyword clusters?

To put it, in my view, there are three critical reasons for creating keyword clusters:

  1. Clear keyword tracking
  2. Comparability with the competition
  3. Monitor visibility for clusters

The cool thing about keyword clusters is that as the person in charge, you get a quick overview of the relevant keywords. So I do not have to look through 5,000 pages of keywords, but sort them by topic all my keywords at a glance. Another advantage is that I can easily compare the data from my keyword cluster with my competition.

I use ahrefs and SEMrush for the clustering of keywords. For example, you can observe the development of topic visibility or visibility for content in the different customer journey phases.

9 Tips For Keyword Clustering

Unsorted I have here ten suggestions for you. If you have any ideas, use the comments.

Clustering by topics, products or categories

The most apparent clustering of keywords are probable topics. I can use the tags to adjust the rubrics on my website or build a cluster for individual directories or articles.

Clusters according to seasonality

For example, if I am working in an environment with strong seasonality, I can create tags based on the month or season. For example, keywords around the “Christmas” are interesting only from November to December. With the help of the clusters, I can, therefore, see relatively quickly when in which month or at what time of the year a keyword set becomes current.

Cluster by Brand or NonBrand keywords

I always set up two clusters for Brand and NonBrand keywords right at the beginning. Thus, I can quickly get an idea of ​​what area growth or loss comes from.

Also Read – Amazing Keyword Research Guide

Clustering by processing status

One idea is also to build clusters that reflect the editing status of a keyword. Here, for example, you could create clusters for New article, Optimization phase 1 and Optimization phase 2. So as the person in charge, I can map my optimization workflow based on the tags and quickly get an overview of the development of the rankings.

Another idea would be to build clusters based on the optimization date. Here, for example, offer calendar weeks. In a few weeks, I could then see at a glance how a keyword has developed that I have worked on today.

Clustering by priority

Another obvious clustering may be successes based on one’s preference. For example, this priority may be based on search volume, conversions, or revenue. Here everyone has their yardsticks, which keywords are more important than others.

Clustering according to search intention

A significant clustering, in my view, is the search intention. For example, in Searchmetrics, I can build tags like Moneykeywords, Informational Keywords, or Navigational Keywords. Here too, I can see the development of this tag at a glance.

Clustering based on the customer journey

In addition to search deletion, I can also build clusters that are based on the current status within a customer journey. Here you could, for example, the usual phases Awareness, Consideration, Purchase, Retention and Advocacy deposit a respective keyword set for his company.

Clustering based on tests

If you carry out tests in the area of SEO, you should also deposit them in your SEMrush Tool and make them visible. For example, we have tested whether a certain number of pages with advertising performs worse than an equal number of pages WITHOUT advertising. For this, we have set up one day each and deposited the keywords.

Clustering by region

In the area of ​​Local SEO, it certainly makes sense to create keyword tags for specific regions. Not every keyword is equally important for each region. Especially when it comes to companies with many offline branches. Here, for example, one could deposit a tag with a separate keyword set for each store.


I’m sure there are other (creative) ways to use keyword clusters. If you have any ideas, write to me in the comments. For me, that helped a lot, especially at the beginning. Try it out 😉.