Key takeaways
- Language support in GEO tools varies a lot. Some tools only translate their dashboard. Others track real prompts, in-language, from the country you care about.
- Check three things before buying: native-language prompts, country or city targeting, and whether the tool captures query fan-outs in each language.
- Tracking the real user interface matters more in non-English markets, because localized answers and citations often differ from API output.
- Promptwatch, Peec AI, Otterly.AI, Profound and Trackerly.ai are the main names to trial first, each for a different budget and team shape.
- Run the same 20 prompts in two languages during a trial. The gaps tell you more than any feature page.
Why non-English tracking is its own problem
If you sell in Germany, Brazil, Japan or the Netherlands, an English-only GEO dashboard answers the wrong question. Your buyers ask ChatGPT, Gemini and Google AI Overviews in their own language. The sources those engines pull from are often local publishers, local marketplaces and local forums. A brand that dominates English answers can be invisible in Dutch ones.
The tooling gap is real. Most vendor comparisons, including the ones I read while researching this, rank tools on engine breadth and price and barely mention language. One B2B SaaS roundup from DerivateX claims a single tool stands out for multi-region brands tracking non-English markets, but it gives no verifiable detail, so I would not lean on that. Meikai, itself a vendor, added a section on evaluating platforms outside English to its enterprise guide in September 2026, which says something about how often buyers get this wrong.
Treat that guide as a vendor's point of view, as it says itself. The evaluation questions are still useful.
What actually matters when tracking other languages
Native prompts, not translated dashboards
A tool with a Spanish interface is not a tool that tracks Spanish prompts. You want to enter prompts as a local would type them, with local phrasing, and have the tool run them as written. Machine-translating your English prompt set produces stiff queries nobody types.
Country and location targeting
Language and country are different. Spanish in Spain, Mexico and Argentina yields different brands, different retailers and different sources. Good tools let you pick both. For local or multi-location brands, city or coordinate-level targeting is the next step up.
Real interface data versus API calls
What a user sees in ChatGPT or Google AI Overviews in a given country can differ from what the API returns. AI Overviews are region-specific by design. If a tool only calls model APIs, you are measuring what the model believes, not what your customers are shown. Ask every vendor which one they do.
Query fan-outs in the local language
ChatGPT does not search with your prompt. It generates its own sub-queries and searches those. Promptwatch Data's ChatGPT query fan-out report shows average fan-outs per response fell from 2.15 in early December to about 1.84 by early March 2026, and average query length dropped from roughly 117 characters to the high 80s. For multilingual work, the practical point (my inference, not a figure in the report) is that your content has to match the queries the engine generates in that language. A tool that does not capture fan-outs will miss which local sub-queries drive citations.
Local source mix
Citations vary by market and by industry. Promptwatch's data on sources per response shows ChatGPT citing about 5 sources per web-search answer, while Google AI Overviews and Perplexity cite around 10. Those are global averages, and I found no first-party figures broken out by language. So you need a tool that shows you the cited domains in your market rather than assuming the English-language source mix carries over.
Quick comparison
Coverage claims change fast and some are vendor-reported, so confirm language and country support on each vendor's pricing and docs page before buying.
| Tool | Approach | Language and country angle | Best for |
|---|---|---|---|
| Promptwatch | Real-UI tracking plus optimization | Any language, any country, state/city and exact-coordinate targeting on higher plans | Teams that want to act on gaps, not just see them |
| Peec AI | Focused prompt tracking | Multi-country tracking, check language limits per plan | Agencies and mid-market monitoring |
| Otterly.AI | Accessible monitoring | Multi-country monitoring per Meikai's guide | Smaller budgets, simple tracking |
| Profound | Enterprise monitoring | Strong enterprise features, verify language depth | Large brands with big budgets |
| Trackerly.ai | Daily multi-LLM mention tracking | Lists 20+ languages | Language breadth on a lean budget |
| Semrush AI Visibility Toolkit | SEO suite add-on | Inherits Semrush's database regions | Teams already inside Semrush |
| Ahrefs Brand Radar | SEO suite add-on | Country filters, shallower AI-specific depth | Teams already inside Ahrefs |
The tools worth shortlisting
Promptwatch
Promptwatch is the one I would trial first for non-English work, mostly because it tracks the actual interfaces of ChatGPT, Google AI Overviews, Google AI Mode, Gemini, Perplexity, Copilot, Meta AI and Amazon Alexa in each country and language you choose. That is the part that matters when answers are localized. Country tracking is on every paid plan, and state and city tracking starts at the Business tier. For local queries you can pin a monitor to exact coordinates so ChatGPT and Google answer as if asked from that spot.
Two features help specifically with multilingual markets. Query fan-outs show the exact web searches the engines run per response, so you see the local-language sub-queries. And the Content Agent writes in the prompt's language, which closes the loop from finding a gap in German to publishing a German page to WordPress, Webflow or Framer. Most tools stop at the dashboard.
Pricing starts at $95 a month for Essential (50 prompts, all models, country tracking) and there is a free Explore plan limited to ChatGPT. Confirm current plans at promptwatch.com/pricing. Agencies running many client markets should look at the Kick-off, Growth and Scale tiers, which include unlimited projects and prompts.
Peec AI
Peec AI is a clean, focused tracker. Meikai's guide describes its analytics, source tracking and reporting as comparatively focused, which is a fair read. It suits agencies that need country-by-country reporting without a heavy platform. Check how it handles language separately from country, and whether you can enter native-language prompts per market.
Otterly.AI
Otterly.AI is the accessible option. The Olostep buyer's guide lists it as mid-market, moderate engine breadth, monitoring only, with a free tier. Meikai notes it offers multi-country monitoring, audits and optimization tooling. If you need to see whether you appear at all in a handful of markets, it is a cheap way to find out.
Profound
Profound is the enterprise name people reach for first. Meikai calls it especially strong on prompt-volume data and automated content workflows. Pricing is murky: one roundup lists $99 a month, another says custom. Treat that as unverified and ask for a quote. For non-English use, ask directly which languages have native prompt support and whether volume data exists outside English.
Trackerly.ai
Trackerly.ai advertises daily multi-LLM brand mention tracking in 20+ languages. That is a notable claim in a category where most tools say nothing. I would test it against a real prompt set before committing, since breadth of languages does not guarantee depth of citation data.
Semrush and Ahrefs add-ons
If you already pay for Semrush or Ahrefs, their AI add-ons are the lowest-friction way to get a first read on other markets. The trade-off is fixed prompt sets and shallower AI-specific data compared with dedicated platforms.
Other names to keep on the list
Superlines tracks from real AI interfaces rather than APIs, which matters for localized answers. Qwairy, Scrunch AI and AthenaHQ are monitoring-focused platforms worth a look at enterprise scale. For a wider scan, the GEO software directory at bestgeosoftware.com lists far more options.
Superlines
A trial plan that exposes the gaps
Feature pages will not tell you how a tool behaves in Polish. A short test will.
- Write 20 prompts natively in your target language. Do not translate them. Ask a local colleague to review them.
- Run the same prompts in your English market as a baseline.
- Check that the tool stores the exact response text, not just a yes or no on a mention.
- Look at the cited domains. Are they local publishers and marketplaces, or the same English sources every time?
- Confirm that brand aliases work. Your brand may be written differently in other scripts or with local suffixes.
- Check sentiment output. Several tools score sentiment in English far better than in other languages, so read a sample of responses yourself.
- Ask whether results come from the real interface or an API, and from which country.
Pricing and budget realities
Multilingual tracking multiplies prompts quickly. Fifty prompts across five languages is 250 prompts, and many entry plans cap at 50 to 150. So price the tool at your real prompt count, not the headline tier. Per-response pricing is a fairer comparison; Promptwatch is among the lower-cost platforms on that measure with multi-model and multi-location coverage included, but run your own numbers.
| Scenario | Likely fit |
|---|---|
| One brand, two or three markets, want to fix gaps | Promptwatch Essential or Professional |
| Agency with many client markets | Promptwatch agency plans or Peec AI |
| Just need to see if you show up | Otterly.AI free or entry tier |
| Already live in Semrush or Ahrefs | Their AI add-ons first, then reassess |
| Global enterprise, SSO, many brands | Profound, Promptwatch Enterprise, or Meikai |
If you want a broader view of how rank-tracking options compare, the directory at ai-rank-tools.com is a good place to browse.
What to do after you start tracking
Monitoring is the easy half. Once you see you are absent from French answers, you need to know why. Is the page crawled at all? Are AI crawlers hitting errors on your localized pages? Are competitors being cited from local directories you are not listed on? Promptwatch's AI crawler traffic data shows how much verified crawler activity is going on, and logs on your own site will show whether your localized pages are part of it.
Content type matters too. Promptwatch's citation data by content type found product pages were the most cited type in ChatGPT at 22.4% of citations from Sep 28 to Oct 4, 2026, followed by landing pages and listicles. That is English-weighted data, so check whether the same holds in your market before copying the pattern. Properly localized product and landing pages, not translated blog posts, are a sensible first test.
And don't assume Reddit or social sources carry over. Promptwatch's social media citation data shows ChatGPT drew only 0.46% of citations from social platforms in the week of Sep 28 to Oct 4, 2026, while Google AI Overviews drew 12.2%. If your market leans on Google, local forums and video may matter more than they do in ChatGPT.
Common mistakes
- Buying on engine count alone. Ten engines in English is worth less than four engines in your actual language.
- Translating prompts with a machine and trusting the results.
- Ignoring country. Spanish in Madrid is not Spanish in Mexico City.
- Reading English sentiment scores as valid for other languages without a manual check.
- Reporting a single global visibility score. Break it out by market or you will hide the weak ones.
Bottom line
For most teams, start with a free or monthly trial of Promptwatch and one cheaper monitor like Otterly.AI or Peec AI, run the same native-language prompt set through both, and compare what each captures. Pick the one whose cited sources and fan-outs actually look like your market. Then price it at your real multilingual prompt count before you sign anything.
Verify language coverage, plan limits and pricing on each vendor's own site first. These details change monthly, and several figures in public roundups conflict with each other.