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The 3 types of Keyword Clustering | SEO | HiTechNectar

Keyword clustering is a new term floating around in the world of SEO (search engine optimization) & web design. People around the globe are wondering what it means, and more prominently, how it fits into their conversion strategy.
Today, we are going to shed some light on the tool and types of keyword clustering. Here’s what you need to know about this emerging SEO practice and how it can affect your website.

How exactly does Keyword Clustering tool work?

Robot develops and sends automated queries to different search engines and then compares web pages from search results to each keyword. The Key-phrases are then clustered up if the search engine returns the same web page listings for different keywords and if there are several comparisons for those.
In simple words, firstly a clustering tool will process the given key-phrases & will perform a search query on search engines. It then scans the first page (top–10) results and analyses the web pages to each keyword. The Key-phrases are grouped together if a search engine returns the same web page listings for different key-phrases.
Key-phrases that shows no comparisons in TOP-10 of search results are clustered up together in a different group named “Stray keywords”.

Types of Keyword Clustering

Clustering type concludes that how keywords should be related in order to be added to a group. Particularly, clustering type determines whether all keywords need to share common URLs or either any two Key-phrases can share common URLs. Below mentioned are the three types of keyword clustering:

Soft Clustering:

With soft clustering, the tool picks the keyword with the largest search volume on the list and compares the TOP-10 search results shown for the keyword with the TOP-10 results shown for the other Key-phrases by the number of corresponding URLs in the search engine. If the number of common URLs is equal to the set keyword grouping accuracy, the key-phrases are clustered up into a group. All key-phrases within a cluster are related to the other key-phrases, but they are not inevitably related to each other.
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