Knowledge base

A detailed guide to the semantic core: what it is, why you need it, and how to build one from scratch. With examples, common mistakes, and tools.

What query intent is, the 4 types, and why an 'iPhone review' article won't win for the query 'buy iPhone.' With everyday examples and a one-minute check.

Broad, exact, and precise volume. How to read Wordstat without mistakes. Why volume doesn't equal traffic. With everyday examples about cakes and down jackets.

What long-tail queries are, why they convert better than fat ones. How to find the tail through suggestions and related queries, and how much traffic you can collect on it without big links.

The four ranking blocks: relevance, content quality, authority, UX signals. How Yandex and Google differ in 2026. What you can influence and what you can't.

The core rule: one page = one cluster of queries with one intent. When you have too few pages (you lose traffic) and too many (cannibalization). Down-to-earth estimates for different site types.

A step-by-step plan for building a keyword core: 3 seed phrases → Wordstat → AI expansion → autosuggestions → cleanup. With real examples from the children's dentistry niche.

A complete guide to Yandex.Wordstat: registration, operators (quotes, exclamation, plus), frequency, regions, query history. With examples and tips.

Which queries are junk and why they hurt your SEO. 7 categories of clutter, negative keywords, how to spot duplicates, and a 30-minute cleanup checklist.

What search suggestions are and where they come from. How to pull the entire long tail out of Yandex and Google autocomplete: manual expansion, parsers, tips.

How to read query history in Wordstat and Google Trends. The 60-day rule. Real examples of seasonal topics: New Year gifts, swimsuits, sole-proprietor taxes.

A guide to query clustering for SEO: what a cluster is, the methods (by SERP, semantic, AI), the Soft/Middle/Hard modes, tools, and common mistakes.

Three ways to group queries into clusters: by search results (Hard/Middle/Soft), semantic by meaning, and on embeddings. How they differ, which is more accurate, which is cheaper, and when to pick each.

Why 'write a 5000-character SEO article' doesn't work and what a proper brief looks like: structure, keywords per block, intent, tone, and the main idea. With a ready template you can copy.

How to find your real SEO competitors (not by product, but by rankings), what to look at on their sites — core, structure, top-ranking articles, links — and where the ethical line runs between 'peek' and 'steal'.

How to track your site's positions in search: what to record (position, URL, region, engine, date), which drops are normal and which are a real problem, and the rule for when to raise the alarm.

Answer Engine Optimization — the new layer of SEO: getting ChatGPT, Claude, and Alice to cite your site in their answers. What your page needs for it and how to check your AI visibility.