Why Collect Search Suggestions and LSI Phrases

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In fact, the resulting matrix has little in common with phrases from Wordstat or search suggestions. After all, this semantics (hints, synonyms, near-thematic words) can have different intent and completely different clusters. Search suggestions are provided by search users themselves and are not calculated by artificial algorithms. The more users specify a certain phrase with another, the more likely it is that this option will appear in the suggestions.

The main purpose of search suggestions is to maximize semantic expansion. list of chile whatsapp phone numbers Thanks to them, you can form an accurate idea of ​​what exactly users are looking for here and now, and then use this data when creating new content. Search suggestions can be added to headings, subheadings, section names. This way they will improve the visibility of the page for low-frequency queries.


It would be correct to collect the suggestions in a separate list – even at the stage of forming the semantic core. LSI – phrases that should be used to write page content to increase thematic proximity and relevance to top documents. To put it simply: we fill the text with special near-thematic words and search suggestions so that search engines consider our page more relevant. For clarity, let's look at an example of low-quality SEO text (without LSI): The keyword is underlined for some reason and even put in quotation marks.