Keyword clustering remains an important task for search marketers and is key to driving organic traffic, improving rankings and enhancing the authority of the website on a given topic.
There are a handful of practical and great tools that exist in clustering keywords such as Keywordsinsights.io, SurferSEO, Inlinks and the incumbent greats such as Semrush and Ahref. For clustering people also asked questions the likes of AlsoAsked and AnswerThePublic will come in handy. The former clusters by PAA questions from SERP while the latter uses Google Autosuggests and has also added PAA to its collection.
These and a few more that haven’t been mentioned are conventional tools used for keyword clustering and have yielded ranking benefits and an inspiring source of content generation opportunities for most search marketers. But, I have a problem with the approaches and logic utilised by these tools. They almost pigeonhole human search behaviour into some lexical and linear route which ignores how searchers think, reason and act. They are more focused on clustering based on word cooccurrence and cosine similarity of the lexical nature of words but can often lack the semantic and sequential depth akin to human cognition and behaviour.
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