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Atlaswerk: Winning the Search Results in Three Languages

A hydraulics manufacturer went from page five to first-page rankings — and became the supplier AI assistants recommend.

312%
More organic inquiries
year over year
38
First-page keywords
German market
7/10
AI answers citing Atlaswerk
target queries
Atlaswerk: Winning the Search Results in Three Languages
The problem

Atlaswerk's components outperform the market leaders on specs, but German engineers searching for exactly what they make never saw them: page-five rankings, no structured data, content only in Turkish, and AI assistants recommending competitors by name.

Goals
  • First-page visibility for money keywords in DE/EN/TR
  • Citations in AI assistant answers
  • Inquiries from engineers, not just procurement
Strategy

Authority through usefulness. Instead of marketing copy, we published the technical resources engineers actually search for — selection guides, tolerance tables, failure-mode explainers — backed by a rebuilt technical foundation and structured data that generative engines can parse and cite.

Execution

Technical rebuild

Core Web Vitals, hreflang architecture, full Schema.org coverage for products and organization.

Content engine

36 technical resources in three languages, mapped to engineer search intent.

GEO program

Entity consistency, citable data formatting, and monitoring of AI-assistant answers across target queries.

Atlaswerk: Winning the Search Results in Three Languages — image 1 Atlaswerk: Winning the Search Results in Three Languages — image 2 Atlaswerk: Winning the Search Results in Three Languages — image 3
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