The main task of optimization is to identify semantic demand. It represents all queries made by people on a specific specific topic. These requests have a common basis, which is in the interests of users. Without a focus on a particular interest, compiling a semantic core is a pointless waste of time and effort.
If you decompose the user’s interest in the search into components, you will get approximately the following scheme: Subject of interest + subject features = intent. The main task is to determine this user’s intent in order to optimize the content on the site for it, so that the search engine provides him with a link to your site, and not to someone else’s.
But not everything is as simple as we would like. Features of the subject may vary depending on different life situations. Hence the complexity. Semantic demand is not so easy to identify. But there are certain tools that allow you to simplify this process. Make it structural.
To identify semantic demand you will need to use Yandex Wordstat when using it you need to use 3 types of frequencies:
Total– the total number of page impressions for the phrase and all queries included in it. Your query in wordstat looks like this:
Exact– the frequency of the query in a particular word form, without taking into account the word order. Your query in wordstat looks like this:
Super accurate – the frequency of the query taking into account the word order. Your query in wordstat looks like this:
To work with wordstat, you may need a small browser extension called Yandex Wordstat Assistant. You can get it on this page.
You can view previous articles about the semantic core at these links:
- What is the semantic core of a site?
- Site semantics: how and where to get it?
- Semantic demand and how to identify it?
By and large, this is only 50% of the information that is associated with the collection of the semantic core. The rest of the content on this topic will appear on the site gradually, as there are still a lot of other equally interesting topics that I would like to pay attention to.
The following articles on the site will also be devoted to information sites and content on them, as well as possibly how to set up social networks and what special tools can be used for this.
