Keyword clustering is an advanced SEO tactic that groups together keyword based on a particular metric. In early SEO days, keyword clusters were based on the linguistics of the keywords themselves. Today, however, clustering is best done by matching search intent, also known as SERP-based clustering.
With SERP-based keyword clustering, SERPs are analyzed for every keyword. If two keywords meet the minimum number of matching links between their SERPs, we can say they share the same search intent. Usually, the minimum number of matching links is 3 or 4. The higher the number, the more relevant the keywords will be to each other.
As you can probably see, this is not an easy process to do manually. It’s quite time-consuming to check the SERPs for every keyword and compare links. Thankfully, Keyword Chef has a Bulk SERP Checker Tool that automatically groups keywords for you.
Let’s see how this Keyword Clustering Tool feature works in Keyword Chef…
Clustering keywords in Keyword Chef
If you want to cluster a list of keywords by search intent, you can get started by importing them. But before you do, you’ll want to set your target country first. The default country is the United States. If you want to target other countries, click the globe to the left of the search bar on the Discover page.
Now you are ready to import your keywords. Next, click the import icon to the right of the search bar to upload your keyword list. Keep in mind that for performance reasons, clustering is disabled for reports with 2500 or more keywords.
Once the keywords are imported, click the ‘Get All SERPs’ button (this will require purchasing paid credits). This will load SERPS for all the keywords in your report. Once complete, you’ll find a ‘Similar’ badge next to your keyword. Clicking this badge will reveal clustered keywords that have 3 or more matching links in the SERPs to the main keyword.
Unlike other keyword clustering tools, Keyword Chef will also give you the search volume and how similar the keywords are to the main keyword. These keywords can also be exported by clicking the Export button.
What should I do with the clustered keywords?
A common question people ask is how to use Similar Keywords. People often ask questions like:
- How do I use clustered keywords in my article?
- Should clustered keywords be used as subheadings?
- Do I need to include all the clustered keywords?
Like most SEO answers, it depends – and it depends on the keyword.
Here’s a guide you can to help decide how to handle them:
- Close variants: Close variants are keywords that mean the same thing but use different words. For example, “how can you tell if an avocado is bad” and “when avocado is bad” are really the same question and will have a high match %. In these instances, you can include the similar keyword naturally in your article body.
- Related but different: Unlike close variants that mean the same thing, related but different keywords mean something different but are still closely related. For example, “how can you tell if an avocado is bad” and “can overripe avocado be eaten” are different questions, but many people who want to know if an avocado is bad also want to know if it can be eaten. In this case, you could make the similar keyword a subheading if you have enough content to support it.
When it comes to how many similar keywords to include, It’s not necessary to include all of them. Oftentimes, there are dozens of keywords that would make including them all quite difficult.
If you want a keyword clustering tool that has SERP-based clustering, get started by registering an account on Keyword Chef.