b654830e039a410f814c4c74f1a1a76fQ: Can you share details about how the keyword clustering works?
Is it based on SERP similarity, or a semantic approach? And if it's based on SERP similarity, what exactly are the criteria used to determine when to cluster keyword terms together? (e.g. if more than 3 of the top 10 are identical, it's clustered into the same group)
Krishna_Anubhav
May 15, 2024A: Certainly! Keyword clustering in RankAtom involves grouping together related keywords based on their semantic similarity. It employs advanced natural language processing techniques to understand the context and meaning of keywords.
The process is not solely based on the similarity of the SERP (Search Engine Results Page) but takes into account the semantic relationships between keywords. This means that keywords with similar meanings or topics are grouped together, even if they may not have identical SERPs.
The specific criteria used for clustering are intricate and involve analyzing various linguistic and contextual factors. While the exact algorithm details are proprietary, the goal is to create clusters that represent semantically related keywords, helping users identify thematic groups in their SEO strategy.
If you have specific questions about keyword clustering or would like more detailed insights, feel free to reach out, and I'll do my best to assist you!