Native speakers research how your audience actually searches in each market. We do not translate English keywords. We discover local ones.
Translating your English keyword list and calling it multilingual keyword research is one of the most common, and most expensive, mistakes in international SEO. Search behavior, question formats, and intent signals vary enormously from one culture to the next, and a translated term rarely carries the same search volume, or even the same meaning, once it crosses a border.
A French-speaking buyer researching a software product reaches for different words, and asks different questions, than a German speaker shopping for the same tool. One market leads with a brand-plus-category phrase, another opens with a problem-first question, and a third simply types the English loanword locals have already adopted. Map your English terms straight onto those languages and you miss the bulk of the demand that is genuinely there.
The gap widens the further down the funnel you look. Long-tail and question-style queries, the ones that win featured snippets and feed AI Overviews, almost never survive a literal swap from one language to another. Get the seed list wrong at the research stage and you quietly cap every brief, every page, and every campaign built on top of it.
Keywords are discovered by native speakers in each target market, not translated from English. This captures colloquial terms, regional variants, and question-format queries that direct translation misses.
Each keyword cluster is tagged by intent (informational, commercial, transactional) with cultural context notes explaining why local users phrase searches the way they do.
A per-language gap analysis showing which high-volume, high-intent keywords your local competitors rank for that you currently do not, along with difficulty scores and content recommendations.
A structured export of People Also Ask data in each target language, organized by topic cluster and mapped to FAQ and content opportunities on your site.
Typical Use Cases
“Amazing service! Very professional and quick. Greta communication via WhatsApp and email. I needed my documents very last minute and BeTranslated bent over back to help me with it, delivering hard copy too! Thank you - will use them definitely again in future.”
Google review (SL) , 9 months ago
“Great communication, perfect translations in different languages in a very short notice. I would recommend! We are very pleased, thank you :-)”
Google review (INTL) , a year ago
“It is a real pleasure to work with the BeTranslated team who has been very professional, flexible and responsive during all projects.”
Google review (INTL) , 3 years ago
Translating an English keyword list gives you a rough approximation, but local users often search with different terms, different question structures, and different intent signals. For example, terms that perform well in US English may not have a direct equivalent in another language, or the dominant search term in that language may be a phrase that would never occur to an English speaker. Native-language research captures this nuance and consistently yields higher organic traffic than translated keyword strategies.
We support keyword research in 50+ languages including all major European languages, Arabic, Japanese, Korean, Simplified and Traditional Chinese, and Portuguese (both Brazilian and European). For languages where dedicated keyword tools are available locally (such as Naver for Korean or Baidu for Simplified Chinese), we use those tools alongside Ahrefs and Google Keyword Planner.
You receive a structured keyword research report in spreadsheet format with columns for keyword, monthly search volume, keyword difficulty, intent classification, SERP features, and content recommendation. Each language's data is presented in a separate tab. We also provide a written summary with strategic recommendations for each market.
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Send us your multilingual keyword research brief and target markets. We will match native specialists, confirm scope, and return a clear plan as quickly as possible.
