Creating a semantic core will allow you to accurately determine the most popular requests of visitors used by them to search for information about goods / services that you offer on the market. 

At the same time, the semantic core will allow you to effectively optimize the site and competently manage the priority of sections and pages that most accurately reflect the company's activities in the market of goods / services. 

The concept of the term "semantic core"

The semantic core is a list of targeted queries for a given site. Technically, this is a list of queries (profile queries) that track the progress of the site. The compilation of the kernel requires the collaboration of a specialist in website promotion, who finds all kinds of wordings of targeted queries to search engines, and a specialist in the subject area (the actual promotion customer), who filters out some queries. 

When compiling a semantic core, first of all, “commercial” requests are taken into account, which are set by a potential buyer (for example, “car sales”). Then information requests of a general nature ("cars in Moscow"), poorly targeted "fuzzy" requests ("cars repair cheaply") and requests with an error ("sale of aft vehicles").
The lower threshold of popularity (demand) for queries from the semantic core is determined individually for each site. 

Methodology for compiling a semantic core 

1 Services used 

For compiling a semantic core, special services are used that allow you to evaluate the popularity of a particular request among users. Basically, for this purpose the following are used on the Russian Internet: 

http://direct.yandex.ru/ 
http://adstat.rambler.ru/cgi-bin/wrds_stat.pl 
http://stat.go.mail.ru /cgi-bin/stat.cgi 
https://adwords.google.com/select/KeywordToolExternal

At the same time, they are more focused on Yandex, because it is on this search engine that resource promotion is usually directed. In the methodology for compiling the semantic core, we will touch upon this particular service. You can use other services by analogy. 

2 Selection of primary keywords 

Primary keywords are the words that are the most common in the subject of the site. For example, if we make up the semantic core of the site of a company selling cars, then the primary keywords may be: 

selling cars, 
cars, 
cars 
, etc. 

The list of primary keywords is compiled by the webmaster himself, relying on the information that he possesses regarding the activities of the company. 

3 Making a complete list of possible semantic core

At this stage, we will expand the list of primary keywords using one of the services. In this case, as we said earlier, we’ll touch the Yandex Direct service. 

Thus, we expand our list. Using Yandex.Direct, this can be done much faster and easier than trying to “logically” calculate synonyms, related queries, Latin options, etc. 

Technically, this is done: 
- go to Yandex Direct and click on the “word selection” link "; 
- in the window that opens, you can familiarize yourself with the instructions for using this service in detail.

Let's get back to our example. We’ll enter the query “cars” in the line “keywords and phrases”. The results of the selection will include user requests, including the word "cars" we have set (on the left), and other requests made by people who searched for it (on the right). Based on these lists, we expand the semantic core by adding words and phrases to it that can be applied to our company. 

cars 
selling cars 
used cars 
... 
selling auto 
cars 
... 
etc 

As a result, we get a large list of words and phrases along which the company’s website could advance. 

4 The semantic core as a result of work

It is almost impossible to advance through all the possible phrases that were compiled. Therefore, from this large list, it is necessary to select the requests that are most important to us, or rather, which are more important to our company. 

To select the necessary queries, the popularity indicators of each of these queries on the Internet are used. When selecting keywords through Yandex.Direct, this number is displayed next to each phrase. 

Choosing the main and most targeted queries from a complete list, we get a complete list of phrases that make up the semantic core. 

5 Possible problems and errors that occur during the compilation of the semantic core. 

When compiling a semantic core, the following problems may arise:
1. The semantic core is composed of common phrases and does not give an influx of targeted visitors. For example, if a user wants to buy a VAZ car, then he will probably type “VAZ car” in the search bar rather than just “car”; 
2. The semantic core does not take into account the errors that the user can make. For example, by carelessness or illiteracy, writing "cottage" instead of "cottage". 

If all of the above you have taken into account, then the semantic core is composed correctly, promotion for the selected queries will give a good influx of targeted visitors, and many potential consumers will learn about the resource! 

Conclusion

So, the compilation of the semantic core is a stage that should never be missed. The whole process of search promotion is based on a compiled semantic core. Improper semantics can lead to illiterate optimization, inaccurate determination of visitors' requests and, as a result, to inefficient promotion.