Why translation is not enough

A technically correct translation can still be the wrong search term. Buyers use local product names, abbreviations, standards, industry language and problem-led phrasing. In complex B2B markets, relevant searches are often closer to the application or task than to an internal product label. We therefore research each market separately and compare search data with local supplier sites, trade sources and buyer language.

This avoids two common mistakes: chasing high-volume terms with little commercial relevance and overlooking precise low-volume queries that map directly to real purchase situations.

From buyer questions to keyword sets

Research is structured around buyer situations: recognizing a problem, understanding solution categories, comparing suppliers, validating technical fit and preparing procurement. Each stage produces a different set of terms: problems, applications, product types, integrations, standards, comparisons, supplier terms and commercial modifiers.

This separation keeps informational and commercial intent from competing on the same URL. Educational content can answer an early-stage question while a service or solution page addresses supplier evaluation.

Local terminology and technical language

Multilingual research considers regional language, not just translation. English terminology can vary between North America and Europe; Spanish industry vocabulary varies across markets; Brazil requires a separate Portuguese research layer. We document relevant variants and connect them to market context.

Not every linguistic variation needs its own landing page. Separate pages are justified when buyer intent, offer or market context materially changes; otherwise variants should reinforce one strong page.

Recognizing commercial intent

B2B terms are not prioritized by volume alone. Modifiers such as supplier, manufacturer, solution, integration, specification, consulting, software, system or industry-specific terms can signal active vendor research. We also inspect the result page and the types of pages already ranking.

A query becomes valuable when it matches the offer, reflects a real buyer task and can be served by a useful destination page. That combination matters more than a standalone difficulty or volume metric.

What the research produces

The output is not a spreadsheet dump. We create prioritized keyword and intent clusters, map them to existing or new URLs, identify market and language variants, and define an order for commercial and supporting content. Every important page receives a clear primary job.

This turns keyword research into an input for architecture, internal linking and content production. It also remains updateable as new products, markets and Search Console data emerge.

Example: industrial equipment in two markets

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