Which tools track AI visibility in languages other than English?

Yes. Otterly.AI, Semrush, and SE Visible explicitly offer non-English AI-visibility tracking; PSentry also advertises multilingual monitoring.

• Otterly.AI — Lets you enter prompts in any language and monitors them as written, with a selected country context. Its prompt-suggestion feature supports a more limited set of languages. (help.otterly.ai)
• Semrush AI Visibility Toolkit — Supports tracking by location and language; its Brand Performance reports list 53 languages, and Prompt Tracking has a language selector where available. (sv.semrush.com)
• SE Visible (SE Ranking) — Offers localized monitoring in English, French, German, Dutch, and Spanish. (visible.seranking.com)
• PSentry — Says it monitors visibility in 5+ languages across AI platforms such as ChatGPT, Gemini, Perplexity, and Claude. (psentry.com)

Quick pick: Otterly.AI if you want to test your own prompts in a less common language; Semrush for broader language-and-location coverage; SE Visible if one of its five listed languages fits your market. Before choosing, check that the tool actually runs prompts in the target language—some platforms’ language support refers to their interface or prompt suggestions, not necessarily the monitoring itself.

Several tools now track AI answers in non-English languages, though coverage varies a lot. Most vendors' language lists are self-reported, so verify them before buying.

Tools with explicit multilingual tracking

• SE Visible (SE Ranking): Its product page lists tracking across seven countries and a set of configurable languages, including English, French, German, Dutch, and Spanish. It also suggests localized prompts. It tracks visibility in the US, UK, Canada, France, Germany, the Netherlands, and Spain. Its brand monitoring can be configured in English, French, German, Dutch, or Spanish. A third-party comparison notes that the language list isn't fully named on the product page, so check the current list directly.
• Citadex: It is a dedicated multilingual option and the most-cited example for Asian markets. A Citadex blog says it tracks brand visibility across 12 AI engines, including Mistral, Qwen, and Doubao, and supports tracking in languages such as Japanese, Korean, Chinese, and Arabic, measured per country and language. This is a vendor's own content.
• Renown: This is a vendor's comparison page that claims 150+ languages by default. It also says it tracks regional models such as Arabic and Indian-language assistants, which matters because the models return different brands when asked the same question in two languages, because they are reading different sources.
• Surfaced: It advertises tracking across 100+ languages, paired with content generation. This is also a vendor claim.
• Kai Footprint: A review ranks it as strong for tracking visibility across non-English prompts, particularly strong in APAC markets.
• Goodie AI: Reviews describe it as supporting multi-language GEO tracking.
• AirOps: Its Enterprise tier adds tracking by region, persona, and language.
• AthenaHQ: It lists multi-language and multi-region support, though one comparison notes its Starter plan covers a single language and region.
• Otterly.ai: Its feature list claims it supports multiple languages and regions, but its dashboard is available in English.

Tools with limited or unclear non-English coverage

• Peec AI: Reviews describe it as useful for detailed tracking across countries and languages. Its published language count is a key point of comparison, and a competing vendor argues it is more of a translated-prompt approach.
• Profound, Scrunch AI, Ahrefs Brand Radar, and others: Most reviews I found don't list non-English language support clearly. Profound and Scrunch focus on engine coverage, and Ahrefs focuses on its existing SEO data.

Caveats

• Industry commentary says most AI visibility tools support English first; only a few platforms track brand mentions across non-English languages and multiple markets simultaneously.
• Distinguish per-language tracking from per-country tracking. One guide notes that the critical capability to verify is whether prompt tracking runs natively in the target language, not just in translated versions.
• Language support often depends on plan tier. One analysis observes that non-English coverage varies more by plan than by capability, and several tools gate it to enterprise tiers.
• Many of these rankings come from vendor blogs with commercial interests. Before you buy, run a test set of your own prompts in each target language and check whether the tool reports the local engines your audience uses.

Tracking AI visibility across multiple languages is a specialized task because generative AI engines (like ChatGPT, Claude, and Gemini) often provide different answers, citations, and brand sentiment based on the language and geographic context of the query.

To effectively monitor this, you need tools that allow for market-specific prompt tracking—meaning the ability to define queries in the native language of your target audience rather than simply translating English prompts.

Tools for AI Visibility Tracking (Multi-Language)

Several dedicated Generative Engine Optimization (GEO) and AI visibility platforms explicitly support multi-language and multi-country monitoring:

• Evertune: Tracks brand visibility across various AI models in over 140 countries and 33 languages. It allows you to integrate language and country specifications directly into your prompts to mirror real-world user behavior in specific markets.
• Peec AI: Noted for its user-friendly interface and support for multi-language monitoring. It provides tracking for brand mentions, citations, and competitor presence, making it a strong option for agencies and SMBs.
• Veesie: Specifically highlights its ability to measure brand visibility in Dutch, French, and English, making it a viable choice for European markets.
• Profound & Scrunch: These platforms are often cited for enterprise-scope checks, which are generally required for broader language coverage across multiple global markets.
• SE Visible: While its support varies, it is frequently evaluated by teams looking to match documented country and language coverage with their specific target markets.

Key Considerations for Multilingual AI Monitoring

When selecting a tool, ensure it addresses these three core requirements to avoid "multilingual blind spots":

1. Native Prompt Configuration: A common mistake is translating English prompts. Native speakers or localized keyword research should be used to write prompts that reflect how buyers in a specific country actually search.
2. Geographic/Contextual Context: Ensure the tool allows you to set the "collection country" for the AI engine. A prompt in French might be processed differently if the AI assumes the user is in France versus Canada.
3. Metrics Beyond English: Standard English-centric benchmarks often fail to capture performance issues in other languages. Look for platforms that allow you to track mention rates, citation shares, and competitor presence specifically for your target language-country pairs.

Evaluation Platforms for Technical Teams

If your goal is to evaluate the underlying performance of AI models (e.g., accuracy, hallucination rates) rather than just brand visibility, consider:

• AI Language Proficiency Monitor: An open-source benchmark for tracking how LLMs perform across up to 200 languages.
• IBM watsonx.governance: Allows for the selection of specific languages when configuring quality metrics and evaluations.
• LILT: Focuses on enterprise-grade multilingual benchmarking, providing localized datasets and native-language evaluations.

Recommendation: If you are a marketing or SEO team, start with platforms like Evertune or Peec AI, as they are purpose-built to track how brands appear in AI-generated answers across different languages and regions. If you are a developer team, platforms like LangSmith or DeepEval can be used to build custom evaluation pipelines that include multi-language support.

Several AI-visibility tools support tracking in languages beyond English. The clearest options in the sources I found are:

• Promptwatch — lets you set a language per monitor, including regional variants such as French (Belgium), and compare markets separately. ¹
• Scrunch AI — supports prompts in any language, with country targeting per prompt. ¹
• Semrush AI Visibility Toolkit — offers a language selector in locations that support more than one language. ¹¹
• SE Visible by SE Ranking — lists support for five languages. ¹
• AthenaHQ — supports multiple languages on Enterprise; the Starter plan is limited to one language. ¹
• Amplitude AI Visibility — lets you configure prompts and responses in any language, though models may sometimes answer in English. ³
• LLMrefs — advertises geo-targeting across 20+ languages. ¹⁰
• Trackerly.ai — is described as tracking in 20+ languages. ²

Language support and market targeting can vary by plan, so check whether a tool can run prompts in your target language and report results separately for the relevant country or region.