Skip to content
Neaptidestudio
case studies

SEO case study, appliance store: the entire niche in the top 10

August 19, 2026 · 4 min read

An anonymized case: a regional built-in home appliance store. The entire 25-query niche cluster in Yandex's top 10, 22 in the top 3, 10 at #1. A strategy of narrow domination instead of spreading thin. Figures from primary reports.

A kitchen gets assembled once a decade. In that moment a person doesn't search for “home appliances” in general — they search very specifically: “built-in oven”, “cooktop”, “built-in appliance store”. One of the cases from our archive: a regional store that chose not to fight everyone over everything, but to fully own its niche. The brand and city are withheld; the figures come from primary reports.

The strategy: narrow domination instead of spreading thin

The store had no budget to compete with federal chains on queries like “buy a fridge”. What it had was specialization — built-in appliances: ovens, cooktops, hoods, dishwashers, specific brands. We deliberately narrowed the front: all the semantics, the whole site structure and every text built around the one cluster where the store is genuinely an expert.

The result: the niche taken whole

  • The “built-in appliances” cluster: 25 of 25 queries in Yandex's top 10. Not “most” — all.
  • Of those, 22 in the top 3 and 10 at #1.
  • Across the store's full semantics (35 queries, including generic ones like “dishwashers”): 32 in the top 10, 24 in the top 3.
  • Brand-specific queries (“built-in appliances [brand]”) — almost all at #1–2.

Broad generic queries (“split systems”, “coffee machines”) stayed outside the top — the conscious price of the strategy: fighting for them would have diluted the budget and cost the niche. Later measurements showed the cluster kept holding, with some queries climbing further — kitchen hoods from position 16 to 6, cooktops from 14 to 5.

In a narrow niche, the search results are the market. When all 25 queries of your cluster sit in the top 10, every person in town assembling a kitchen passes through your site. Not “many” — every one.

What this case proves — and what it doesn't

It proves that for a specialized store, “narrow but whole” beats “broad but thin”: full domination of your own cluster is achievable and holdable. It does not prove a niche scales indefinitely — the broad queries stayed with federal players, and we say so openly. The case is from the “classic search” era; today the same principle works even harder in GEO: answering a narrow question, a model cites whoever owns the niche whole.

faq

The short version

Why didn't you fight for the broad queries?

A deliberate decision. Queries like “buy a fridge” are contested by federal chains with incomparable budgets. The narrow “built-in appliances” cluster the store could own entirely — and did: 25 of 25 queries in the top 10, 22 in the top 3.

Why is the case published without the store's name and city?

We don't publish client data without explicit consent. The figures come from primary rank-tracking reports and are quoted unchanged; the brand and city are generalized.

Does the narrow-niche strategy still work today?

Even better than then. Asked a specific question (“which built-in oven should I choose”), AI assistants cite sources with explicit, verifiable specialization — our own GEO work confirms it. Owning a niche whole has become even more valuable.