Keyword Research and Semantic Core
Keyword research and clustering for the Ukrainian market
The value of this work is not the list of words but the grouping: which queries one page can cover and which need pages of their own. That grouping determines the site structure and prevents the situation where two of your pages compete with each other.
What is included
- query collection for your subject area, including bilingual variants;
- accounting for different brand spellings — Latin, Cyrillic, and transliteration variants;
- separation by intent: informational, commercial, navigational;
- clustering, with one page per group;
- matching against your existing pages and finding the gaps;
- detecting cannibalisation — where several of your pages target the same query.
Local specifics
The Ukrainian market is bilingual, and the proportion depends on the subject area, the region and the age of the audience. Ignoring one language means losing part of the traffic; building separate pages for each means creating duplicates. The answer is worked out for the specific subject area rather than taken from a general rule in an English-language guide.
About search volume figures
They are a guide, not the truth. For narrow B2B topics the tools often report zero where queries genuinely exist: the volume is too small for statistics, but each such query is worth more than a hundred generic ones. So the numbers are used for prioritising, not as the sole criterion.
What you receive
Clusters with a note on which page covers each — an existing one, or one that needs creating. That is the foundation for a content plan and for the structure of your sections.
Tags: keyword research, seo, semantics, clustering, competitors