10 types of data that should be on your keyword clustering wish list – Search Engine Land
Everybody is talking about keyword clusters. At the core, it’s pretty simple – group related keywords together. Sounds easy, right?
Some free tools walk you through some basic Natural Language Processing (NLP) that help deduplicate and find semantic similarities between keywords. There’s nothing wrong with starting there, but those are inevitably limited. Google, on the other hand, has infinitely more data to feed into its algorithms, including on-page data and links to provide more context than just basic keyword manipulation.
To truly understand how Google sees the world, you must collect SERP data to see which pages rank for which terms. At scale, by comparing how many URLs overlap in the top 10 results, you get a very clear picture of which SERPs are related. This method has been recently popularized by Keyword Insights, also available from Nozzle, Cluster AI, and others.
I am continually surprised when I find keywords that I would have manually grouped together, but Google…
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source: https://news.oneseocompany.com/2023/06/26/10-types-of-data-that-should-be-on-your-keyword-clustering-wish-list-search-engine-land_2023062646741.html
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