If you determine the type of request, you can correctly create a semantic core for website promotion. The following three methods are used to determine the type of search phrase:
Manual analysis of search results
Based on the above-mentioned marketing list of senior homes characteristics, it is not difficult to classify requests as commercial or informational.
If in doubt, the key phrase is entered into the search bar, after which the nature of the results is analyzed. The absence of advertising, layouts of retail outlets, store sites and aggregators indicates that this is an informational request. If the results contain a lot of advertising blocks, company addresses and online store pages, this confirms the commercial type of the phrase.
Let's analyze this method using the phrase "shoe prices" as an example . The results contain contextual advertising, catalogs, links to online stores and aggregators. Without a doubt, this is a purely commercial search phrase.Manual analysis of search results
For comparison, let's write in the line "how shoe prices are formed". Despite the semantic marker "price", the search results indicate the informational nature of this request. There are no advertisements or links to retail outlets.
Search query
Let's try to puzzle the search engine with the phrase "yellow shoes" :
Search for shoes
The system produces results in various directions: contextual advertising, information articles, photographs, and links to online stores. This means that we have a mixed request. The robot could not clearly determine the user's intentions and provided him with several options to choose from.
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Manual classification of queries is possible when their number is small, when it is necessary to urgently check what type each of two or three phrases belongs to. However, in most cases it is necessary to determine the type of queries for the entire semantic core, and these are hundreds and even thousands of phrases. In this case, automatic processing comes to the aid of optimizers.
Ways to Distinguish Commercial and Informational Requests
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