Is there a way to monitor how my brand gets described in AI answers across different languages?
Yes. Track native-language prompts per country and language, then compare descriptions. Here is how to set it up and which platforms support multilingual monitoring.
Yes, but language is a separate setting from country
You can monitor how a brand is described across languages, and several platforms support it. The catch is that "language" and "country" are two different dials, and plenty of tools only really offer the second. A brand sold in Switzerland, Belgium or Canada needs both. A German-language prompt asked from Austria can pull different sources than the same prompt asked from Germany, and an English prompt asked from the Netherlands is a third case.
So the first thing to check when you compare platforms is whether you can set the prompt language and the location separately, and whether the platform actually runs the prompts that way rather than translating after the fact.
Why descriptions differ by language
An assistant describes you from the sources it retrieves. Those sources differ by language: local press, local review sites, local forums and a localized version of your own site. If your German pages are thin, a German-language answer may lean on a competitor's German pages or on a third-party summary. You might be well described in English and barely mentioned in Spanish. Or described accurately in one language and with outdated pricing in another, because only one version of a page got updated.
That is why a single English prompt set tells you very little about the rest of your markets.
How to set up multilingual monitoring
- List your markets as language and country pairs. For example Germany/German, Austria/German, Netherlands/Dutch, France/French.
- Write prompts natively. Do not machine-translate your English set. Ask a local colleague how buyers phrase the question. Local wording often differs in more than vocabulary.
- Keep a shared core set. Keep 10 to 20 questions identical in meaning across languages, so you can compare like with like. Add local-only prompts on top.
- Include local competitors. The rivals named in French answers may not be the ones named in English.
- Create a fact checklist per language. Pricing, plan names, availability and support language should be correct everywhere.
- Review sources, not just mentions. The cited pages tell you what to fix in each market.
What the platforms offer
Here is what our catalog says about multilingual support. Where a listing does not document it, we say so rather than guess.
| Platform | Multilingual and location support, per our catalog | Entry price |
|---|---|---|
| Promptwatch | Prompt panels per model, country and language; country-level on every paid plan; state and city from Business | Free Explore plan; paid from $95 |
| AthenaHQ | Starter is country-level only; multi-region and multi-language support is on Enterprise | $295 (Starter) |
| Qwairy | 240+ countries and 45+ content languages listed | €79 (Starter) |
| Scrunch AI | Language support not documented in our listing | $250 (Core) |
| Profound | Language support not documented in our listing | Enterprise, custom |
Promptwatch is our first pick for this job because language is a native setting rather than an Enterprise upsell. Monitors run daily per model, country and language, and personas with persona stacking let you phrase prompts as different buyers would. It monitors the live interfaces of ChatGPT (Search), Google AI Overviews, Google AI Mode, Copilot, Gemini, Perplexity, Amazon Alexa and Meta AI, plus other models via API. The Brand Book holds the analysis instructions that decide what counts as a mention, and brand aliases let you cover localized brand and product names. Sentiment is scored per response with a weekly AI summary. Citation analytics then show which local pages and domains each answer relied on.
One thing to verify in a trial: confirm that the sentiment score and mention detection behave as you expect in your specific languages, with a few responses you can read yourself. That is sensible with any platform.
AthenaHQ puts multi-language and multi-region support on its Enterprise tier. Starter is country-level, so a multilingual brand is nudged toward custom pricing quickly.
Qwairy advertises 240+ countries and 45+ content languages, which is wide coverage. Our catalog also notes some of its engines (Claude, Mistral, DeepSeek) are API samples rather than live interfaces, and its crawler analytics sit on the Business plan.
Scrunch AI and Profound are credible platforms, but their language support is not documented in our listings, so ask both directly before you buy. Profound's Enterprise contracts start around $40,000 a year per our existing entry.
Beyond monitoring: fixing what you find
Monitoring shows the problem. The fix is usually local content. Promptwatch's content gap analysis scores coverage against your prompts, and its content tools can plan and write pages and publish to WordPress, Webflow (including localized collections) and Framer. Check the AI crawlers can reach each language version, too. Agent Analytics provides IP-verified crawler logs, with path filters so you can look at /de/ or /fr/ separately. Crawler logs start on the Professional plan ($245 a month).
Limits
No platform can make an assistant describe you a particular way in any language. Answers vary between askings, and local competitors may simply have better local pages. What monitoring gives you is a clear view of where your description is accurate, where it is missing and what sources cause the gap.
Who should pick which
- You want language and country as separate settings, plus crawler logs and citations: Promptwatch.
- You have the Enterprise budget and want multi-region on a credit model: AthenaHQ.
- You want the widest listed language count on a euro plan and can accept API sampling for some engines: Qwairy.
- Your markets need confirmed language support: ask Scrunch AI or Profound before committing.