šŸ‘­KW Clustering

You can use two types of clustering on LowFruits: SERP Clustering and Semantic Clustering.

SERP Clustering Semantic Clustering

SERP Clustering

Keyword SERP clustering allows SEO professionals to group similar keywords based on their search intent, which in turn helps them create more targeted content that can improve their rankings in the SERPs.

LowFruits applies a SERP clustering method that groups keywords in the same cluster if they share at least 40% of their URLs in the SERPs. The main keyword of the cluster is the one with the highest estimated search volume. You can adjust the threshold for SERP similarity in the clustering settings. The higher the threshold, the greater the similarity of the keywords within a given cluster.

Important! To use the SERP clustering method, you'd need to have analyzed keywords (ie with the SERP extracted).

Why use SERP Clustering?

Three main reasons:

  1. It simplifies keyword analysis and usage by grouping related ones, providing a clearer view of the various topics in your niche.

  2. It prevents keyword cannibalization, as writing different content for similar keywords can lead to self-competition in the SERPs. Clusters guide you to target similar keywords in one article.

  3. It increases your chances of ranking . Using keyword clusters, you can target both primary and secondary keywords in one article, offering comprehensive content that satisfies the searcher's intent. This practice improves your topical authority and caters to the preferences of searchers who appreciate exhaustive resources.

How do you generate keyword clusters?

Head to your report's clusters tab and click on "Clustering".

Reminder: Please note that the clustering feature applies only to the analyzed keywords (ie to keywords that have SERPs extracted).

The clustering might take a few minutes, depending on the number of analyzed keywords.

Note that not all keywords will be clustered. Click on "View keywords that are not in a cluster" to find them.

How to use keyword cluster data?

1 keyword cluster = 1 article.

  1. Use the primary keyword (the highest search volume in the cluster) in the article title.

  2. Use secondary keywords as subheadings or word variations inside your text.

  3. If a secondary keyword is broad enough, create a separate article and link it to the main one for increased topical authority.


What should I do if I'm already ranking for a cluster?

If you're already ranking for a cluster, optimize your ranking article. You can do this by adding secondary keywords to the article, optimizing your meta descriptions, and adding internal links.

What if several of my URLs rank for the same cluster?

If multiple URLs rank for the same cluster, you might be facing a keyword cannibalization problem. First, list the URLs and the ranking keywords. Check the keywords in each article. If there are duplicates, designate the top-performing page as your main page for the target keyword. Then, add secondary keywords and update the content to reflect the searcher's intent for the main keyword closely.

Are keyword clusters and topic clusters the same thing?

No, keyword clusters and topic clusters are not the same. Keyword clusters are highly related keywords, while topic clusters are topics related to your niche.

What if I don't get any clusters for my keywords?

If you're not getting any clusters for your keyword, your keywords may be too broad. Consider using more specific keywords related to your niche.

Semantic Clustering

This method groups keywords based on their word structure, contrary to SERP clustering, which groups them based on the URLs they share in the SERPs.

How do you generate semantic clusters?

When clicking the Semantic Clustering button, a pop-up will ask you to choose the number of shared words in the grouping :

2 - Broad Cluster keywords with two shared words šŸ‘‰ ideal for highlighting the main topics in your report.

3 - Intermediate Cluster keywords with three shared words.

4 - Narrow Cluster keywords with four shared words šŸ‘‰ best for zeroing in on closely related longtail keywords.

Why use Semantic Clustering?

  1. Topic Discovery: Offers insights into the different topics.

  2. Cost Efficient: Facilitates keyword grouping without initial SERP analysis (saving costs).

  3. Interrelation Recognition: Helps identify connections between keywords.

Here's an example when using the broad seed keyword "apple" (choosing two shared words).

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