How to create a semantic core for a website: step-by-step instructions

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Let's take a detailed look at all the steps to create the correct semantic core for your website.

Step 1: Create an initial list of queries
First, you need to select the most popular search queries on the topic of your site. There are two options for how to do this:

Brainstorming method

When, over a short period of time, you or your investor leads colleagues write down all the words and phrases that, in your opinion, users will use to search for information posted on your site.

Write down all possible options, including:

variations in the spelling of the name of a product or service, synonymous words, ways of writing the name in Latin letters and Cyrillic;

full names and abbreviations;

slang words;

references to the constituent elements of a product or service, for example, building materials – sand, brick, corrugated sheet, putty, etc.;

adjectives that reflect significant characteristics of a product or service (quality repair, fast delivery, painless dental treatment).

Analyze your competitors' websites

Open your browser in incognito mode for your region. Look at competitors' websites that the search results for your topic will show you. Find all potential keywords. You can determine the semantic core of a competitor's website using the services com and bukvarix.com.

Analyze contextual advertising

On your own or with the help of specialized services (for example, spywords.ru or advodka.com), study the semantic core of someone else's site and find out which keywords competitors use.

Using all three approaches, you will get a fairly large list of keywords. But it will still not be enough to create an effective semantic core.

Step 2. Expand the resulting list
At this stage, Yandex.Wordstat and Google AdWords services will help you. If you enter words from your list of keys, formed at the first stage, into the search line of any of these services one by one, then at the output you will receive a list of refined and associative search queries.

Refined queries may include not only your word, but also other words or phrases. For example, if you enter the keyword "dog", the service will give you 11,115,538 queries with this word, which include such queries for the last month as "dog photos", "dog treatment", "dog breeds", etc.