For example, a user searches for a Napoleon recipe and gets to pages with this phrase. Query relevance Query relevance These are pages relevant to the query. However, the formal presence of key phrases is not enough for search engine algorithms. They also take into account how much the content of the page and the entire resource corresponds to the meaning of the search query.
Simply put, it makes no sense to include a phrase about canada mobile number list a Napoleon recipe in a text about a statesman's biography. Or even in a text selling products for confectioners. It's a different matter if this online store has a blog, and in it, a Napoleon recipe. Example of an article on a website with courses for pastry chefs Example of an article on a website with courses for pastry chefs In this case, we can talk about the relevance of the page and connect internal linking.
And if this is a resource entirely dedicated to recipes, or a blog of a professional pastry chef, then we are dealing with a relevant site. They will have priority in the search results for the query. Thus, key phrases work best only in the context of the relevant page or resource. There are a number of other internal and external factors that are important to consider when working on the relevance of search queries.
What factors influence the relevance of data 1. Internal factors Semantics is the first thing that influences from the inside. Relevant phrases from the semantic core should be distributed evenly throughout the text and look natural. Otherwise, the search engines will consider the text spammed. It is good if the main keyword or phrase is located at the beginning of the text, in headings and subheadings, since these are the parts of the structure that robots will notice first.
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