Semantic core: what is it and how to compose it correctly

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The semantic core is a list of words and phrases that most fully reflect the subject of the site and are divided into groups similar in meaning. Simply put, these are the same search queries (keywords/phrases, keys) that will be used for promotion in search engines. By compiling the semantic core of the site, we answer the question: what information can users find on our site.

The creation of a semantic core can be divided malaysia company email list into several stages:

Selection of query masks – general search phrases that correspond to the subject of your site.
Expanding the semantic core using services, search suggestions, and competitor keyword analysis .
Cleaning up inappropriate search phrases.
Clustering is the grouping of keywords by meaning and their distribution across the pages of a website.
Optimization of received phrases.
When we work with the semantic core, we determine which page most accurately answers a specific search query or group of queries. Some time ago, SEO specialists looked for the most frequent keywords on the topic of the site and entered them into the text for good visibility in the search. However, in the last few years, there has been a tendency in which the relevant document is considered not the one with the most relevant keywords, but the one that most fully reveals the user's intent.

However, no matter how hard we strive to create high-quality interesting content, without a semantic core it will not be able to fully reveal the topic and, as a result, attract good targeted traffic. In competition with sites that are promoted by high-frequency and mid-frequency queries, our site will be significantly inferior. That is why no site promotion can do without creating the right semantics that reveals the needs of users .

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Classification of search queries
When compiling a semantic core, it is necessary to clearly understand what type of queries are needed to promote our site. Let's consider their classification in detail.

By frequency, requests are:

High-frequency (HF) – define the topic of the site; they are most often used when searching for sites of a certain topic. Such queries consist of 1-2 words, and on average the number of impressions for them ranges from 1000-3000 to several hundred thousand per month.
Mid-frequency (MF) – slightly less popular, but still in-demand keywords. As a rule, these are separate directions in the topic. Consist of 2-3 words. The number of impressions is 500-1000 per month.
Low-frequency (LF) – key queries with an exact frequency of 50 to 500 impressions. Most often contain 3-4 words. Such queries allow you to attract a target audience to the site that knows exactly what it needs.
Micro-low-frequency (MLF) – queries with a frequency of less than 50 impressions per month, which are extremely rarely (and sometimes only once) entered in the search.
According to competitiveness, there are highly competitive (HC), moderately competitive (MC) and low-competitive (LC) queries. The more sites and platforms use a query, the more competitive it is. In most cases, a highly competitive query will also be high-frequency.

According to needs, requests are divided into:

Informational – express the user’s desire to find the information he is interested in.
Navigational – characterized by the user’s need to find a specific site or information about it.
Transactional - reflect the user's desire to perform some action, for example, "download the book hunger games", "watch game of thrones online", "listen to the new album of zemfira", etc. Among transactional queries, commercial ones are distinguished separately - these are the queries that reflect the user's need to buy a product or order a service ("buy an air conditioner" or "order dry cleaning of a sofa at home"). A transactional query will not always be commercial, but a commercial one will always be transactional.
In addition to the above types of queries, there are also general or fuzzy queries. As a rule, they are very short, implicit, and it is difficult to determine the user's intent (for example, "phone"). Such queries should be added to the semantic core with caution and only after assessing the costs of their promotion, since there is a high probability that they will bring non-targeted traffic to the site.

If you plan to promote a commercial site or online store, then when compiling the semantic core, you should focus on high-frequency, medium-frequency and low-frequency commercial queries. The semantic core of an information site or portal should contain medium-frequency and low-frequency low-competition information queries that will be organically integrated into articles.