Introduction

The language you use when querying an AI system doesn't just affect the tone of the answer—it determines which brands are even mentioned. A single language shift can make a global competitor disappear and a local favorite take its place, often without any change to the buyer or the machine.

What Happened

A controlled study involving 234 tests across four countries and six languages found that the language of a question fundamentally reshapes AI-generated brand recommendations. When asked in Norwegian, ChatGPT named three local Norwegian accounting tools and no American ones. Switching to English from the same connection instantly swapped the list for FreshBooks, QuickBooks, and Wave. The study revealed that language explains 26.5% of the variation in AI responses, while brand identity accounts for only 1.5%. In some cases, the model knew local options existed but chose not to surface them when the query was in English. Even the Turkish connection returned zero Turkish suppliers in English, while every other language tested surfaced local results.

Why This Matters

For any company outside the US, checking AI visibility only in English measures a market the brand doesn't actually compete in. A business selling into Germany or Norway that monitors English-language AI answers is checking a landscape it doesn't inhabit, and its real rivals remain invisible to its own metrics. Local champions dominate their native-language answers and vanish the moment a buyer types in English—precisely how many procurement teams and international buyers search. The research makes clear: one answer per language, and your brand is in some of them. Most companies have never checked which.

Key Takeaways

  • Translating your own website helps less than you hope, because AI prioritizes third-party mentions over self-published content. Local press, roundup articles, review platforms, and podcast transcripts carry far more weight.
  • Costs for multilingual brand placement vary widely: Spanish-sponsored articles median at $655, Polish at $480, Central and Eastern Europe around $490, US English at $452, British English at $1,040, and Nordic or German languages at $1,230 or more.
  • To measure what matters, take the five most common buyer questions in your category, translate them (machine translation for a first pass, native speaker for review), and run each several times per language. Log which brands appear and which sources get cited—this creates a real map of where your name needs to be printed.
  • One study found the top recommendation changed across identical runs on four of six prompts, so a single screenshot is just one draw from a distribution—multiple runs are essential for accurate visibility tracking.

Conclusion

If you only ever check AI visibility in English, you have no idea what your customers see when they type in their own language. Your customers make that language choice every single day. To stay visible, get your brand named in the buyer's language first, then measure your presence in that same language—because what you don't measure, you can't manage.