Keyword Clustering
Group a large number of keywords into clusters for quick and simple work with the semantic core of the site.
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What is Clustering crucial for?
Grouping a pack of keywords with the same meaning
Analyzing the semantic core of the site
Creating a group of words to put on a specific page
What are the features of Serpstat Clustering?
Intersection grouping
Serpstat doesn't collect groups according to the most high-frequency keywords. Instead, we study all the keywords due to their intersections in the SERP.
Serpstat doesn't collect groups according to the most high-frequency keywords. Instead, we study all the keywords due to their intersections in the SERP.
The connection strength and clustering type
Serpstat checks the connection strength between all clustered keywords, depending on the settings that you specify. There are two types of strength: Weak and Strong, and two types of clustering: Soft and Hard.
Serpstat checks the connection strength between all clustered keywords, depending on the settings that you specify. There are two types of strength: Weak and Strong, and two types of clustering: Soft and Hard.
The hierarchy of clusters
Keywords are combined into groups (clusters), clusters are combined into groups of a higher level (superclusters), and superclusters are combined into groups of an even higher level (protoclusters)
Keywords are combined into groups (clusters), clusters are combined into groups of a higher level (superclusters), and superclusters are combined into groups of an even higher level (protoclusters)
Text Analytics
After clustering is completed, you can perform text analytics on the content of your site based on text analysis on competitors' sites.
After clustering is completed, you can perform text analytics on the content of your site based on text analysis on competitors' sites.
Read more about Clustering on the Serpstat blog
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Checklists
Serpstat in numbers
280K
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1.32B
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230
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