How to Group Keyword and Build a Relevance Map Search phrases that users use to find or will find your site are combined into semantic clusters. These are groups of queries that are close in meaning. For example, the semantic cluster "Cake" includes all key phrases related to this word: cake recipes, order a cake, cake photos, wedding cake, etc.
A semantic cluster is a group of queries united by meaning. It is a multi-level structure. list of argentina whatsapp phone numbers Within the first-order cluster "Cake", there are second-order clusters "Cake recipes", "Cake order", "Cake photos". Within the second-order cluster "Cake recipes", theoretically, it is possible to distinguish a third order of clustering: "Mastic cake recipes", "Sponge cake recipes", "Shortbread cake recipes".
The number of levels in a cluster depends on the breadth of the topic. In practice, in most topics, it is sufficient to distinguish business-specific second-order clusters within the first-order clusters. Theoretically, a semantic cluster can have many levels. In practice, you will have to work with clusters of the first and second levels You identified most of the first-level clusters during brainstorming, when you wrote down the basic key phrases.
After that, proceed to grouping keywords
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