Which tools track AI visibility in languages other than English?

Several AI-visibility tools say they track prompts or brand mentions in languages beyond English:

For a broad stated language list, Evertune is a useful starting point; for support described as flexible across many languages, compare Scrunch. Before choosing, confirm that a tool runs prompts in the target language and market—not just that its dashboard can display translated results.

Several tools now track AI answers in non-English languages, but coverage varies a lot and the vendors' claims are hard to verify. Most of what I found comes from vendor-written comparison posts, so treat the specifics as claims to test during a trial.

Tools that advertise explicit multi-language tracking

• Peec AI: Sources consistently cite 115+ languages, including Japanese, Korean, and Chinese, and one comparison says it offers unlimited countries and languages at every tier. Peec AI reports the broadest raw coverage at 115+ languages, including Japanese, Korean, and Chinese.
• SE Visible (SE Ranking): Brand monitoring can be configured in English, French, German, Dutch, or Spanish, and the tool suggests localized prompts for native-language searches. SE Ranking's broader AI search tool tracks brand mentions and links in multiple languages across five major AI search platforms.
• Profound: One comparison says it covers 30+ languages across 150+ regions.
• AthenaHQ: Sources say it offers multi-language and multi-region support, but they disagree on specifics. One says it publishes support for 60+ countries and languages at its enterprise tier. Another notes that language support is not publicly documented.
• Otterly.ai: A list of its features says it tracks search prompts in various languages and throughout various countries. However, it does not publicly disclose a language count. Its dashboard is in English.
• Citadex: It claims support for tracking in any language your buyers use, including Japanese, Korean, Chinese, Arabic, and others, with visibility measured per market (country + language).
• Omnia: One listing says it offers unlimited brands, countries, and languages, including on the entry plan.
• Allmond: It covers 67+ countries, and one listing says it has unlimited languages.

Tools with unclear or limited non-English support

• BrightEdge: BrightEdge publishes very little about non-English market support, multilingual prompt handling, or per-language segmentation.
• Goodie: Which languages are supported for prompt tracking is not publicly disclosed.
• Talkwalker: This is a social and brand-listening platform rather than an AI-answer tracker, but it covers 180+ language coverage, which may matter if you also need to monitor social mentions.

Things to check before buying

• Native prompts vs. translations: One guide advises that the key question is whether prompt tracking runs natively in the target language, not just in translated versions.
• Plan gating: Non-English coverage varies more by plan than by capability — several tools gate it to enterprise tiers.
• Per-market segmentation: Look for language and country reported separately, not blended into one score.
• Engine coverage: Some tools skip engines that matter in certain markets. For example, one comparison notes that most tools omit Qwen and Mistral.

A practical approach is to run a trial with prompts written by native speakers in your target languages, then check whether the results match what you see when you run those queries yourself.

Tracking AI visibility and performance in languages other than English requires specialized approaches, as standard English-centric tools often miss localized errors, cultural nuances, and regional search behaviors.

Tools and resources in this space generally fall into two categories: benchmarking frameworks (for evaluating model proficiency) and visibility/monitoring platforms (for tracking brand presence and search performance).

1. AI Benchmarking Tools (Evaluating Model Performance)

These tools help you understand how well a model "thinks" or performs in different languages compared to English.

• LILT: Provides enterprise-grade multilingual benchmarking infrastructure. It uses localized "golden datasets" to evaluate models natively across over 200 languages, avoiding the pitfalls of simple English-to-target-language translation.
• AI Language Proficiency Monitor: A research-backed benchmark designed to systematically assess LLM performance across up to 200 languages, with a focus on tracking progress over time.
• Artificial Analysis: Offers a widely used leaderboard that compares the multilingual performance, pricing, and speed of leading AI models, allowing you to see how different LLMs stack up across languages.
• BenchLM.ai: Provides a leaderboard specifically focused on multilingual benchmarks (such as MGSM and MMLU-ProX) to evaluate cross-language reasoning.
• Scale AI (MultiNRC): Developed the "Multilingual Native Reasoning Challenge," which evaluates models using questions written natively by speakers of languages like French, Spanish, and Chinese, rather than relying on translations of English benchmarks.
• Hugging Face (evals-for-every-language): An open-source project that maintains evaluation snapshots for various languages, providing metadata on model performance per task and language.

2. AI Visibility & Monitoring Tools (Tracking Market Presence)

If you are tracking how your brand or content appears in AI search results across different countries and languages, you need tools that account for geographic and linguistic variables.

• Cognizo: Noted for its capabilities in multi-country AI search monitoring, helping brands track their AI visibility across different markets where AI engines surface varying results.
• AnswerBench: Uses an editorial methodology to track AI visibility, emphasizing that language alone does not define a market; it allows you to build separate observations for specific language-market combinations.
• Custom Monitoring Setups: Experts often recommend building your own "multilingual prompt panels" using tools like LangSmith or Evidently AI. These platforms allow you to:
  • Set up A/B testing across different prompt versions.
  • Maintain "golden datasets" in target languages to ensure consistent evaluation.
  • Implement "LLM-as-a-judge" workflows that can be calibrated for cultural nuance and specific language quality criteria.

Key Considerations for Multilingual Tracking

When selecting tools for non-English environments, ensure they address these critical "blind spots":

• Native vs. Translated: Avoid tools that only translate your English prompts; ensure the tool supports native-language input to capture genuine linguistic reasoning and cultural context.
• Market Context: A language (e.g., German) is spoken in multiple countries (Germany, Austria, Switzerland) with different market conditions. Ensure your tool treats language and location/market as separate variables.
• Data Residency: If your multilingual monitoring involves sensitive data (e.g., customer service transcripts), check for GDPR or regional compliance (e.g., Germany’s BDSG) to ensure data stays within required borders.

Several AI visibility platforms advertise tracking in languages beyond English:

• Peec AI — says it supports 115+ languages, making it a strong option for broad language coverage. ³⁷
• Profound — a recent comparison reports 30+ languages; confirm which languages and plans are included with the vendor. ³
• SE Ranking’s SE Visible — supports English, French, German, Dutch, and Spanish. ⁹
• Rush Analytics — advertises 50+ languages and localized queries. ¹³
• Otterly.ai — says prompts can be tracked in all languages across 50+ country markets; its dashboard is in English. ¹¹
• Promptwatch — lets you set a language per monitor, including regional variants such as French (Belgium). ¹
• Scrunch — says prompts can be written in any language, with country targeting. ¹
• Citadex — claims support for any language, segmented by country and language. ³

Language coverage, market targeting, and plan access aren’t always the same thing. Before choosing, check whether the tool runs prompts in your target language and location—not just whether its interface supports that language. These figures come from recent third-party comparisons and vendor claims, so it’s worth confirming current details directly.