Multilingual AI Visibility Tools: Beyond English
Your English score is not your score. It is the score in one of the markets you sell to.
TL;DR
Most AI visibility tools measure English and call it done. That is not a small
approximation. Ask the same question in two languages and the models return
different brands, because they are reading different sources. This list ranks
tools on how many languages they cover and, more importantly, on whether they
track the regional models that decide answers outside English. Renown is first:
150+ languages by default, and coverage of the Arabic, Indian and Finnish models
that almost nobody else touches.
The evidence that language changes the answer
Our Helsinki fine dining study
ran the same dining questions in English and in Finnish across three surfaces.
The two languages returned different restaurants. A venue could lead the tourist
conversation and be underweight with locals, in the same city, on the same day,
from the same models.
That is the whole argument. If you sell into more than one language and you
measure one, you are not measuring 80% of your position. You are measuring one
market and guessing at the others.
There is a second, sharper gap. Reporting on this category notes that of roughly
thirty tools in the market, none track the state-backed Arabic models:
Falcon-H1 Arabic, ALLaM, Jais 2 and Fanar. Those are the models increasingly
answering in Gulf markets. Coverage of Indian-language models is thinner still.
For most vendors, "multilingual" means prompting an American model in a
different language, which is a genuinely different and much weaker thing than
measuring the models that market actually uses.
How this list is ranked
Two criteria: how many languages are covered, and whether the tool tracks
the regional models that decide answers in those languages. The second
separates real coverage from translated prompts.
Renown makes one of these. We are first on both. Peec AI's published language
count is higher on paper than the way we phrase ours and it is a genuinely
strong product, and that is addressed directly below rather than hidden.
Checked September 2026.
The ranking
1. Renown
Languages: 150+ by default. Regional models: yes. The 150+ most spokenlanguages are covered on every account without asking, including Finnish,
Swedish, Norwegian, Danish and every major European language, Arabic, and Hindi,
Tamil, Bengali, Telugu, Marathi and the other major Indian languages. Anything
outside that set is added on request.
The part that is unusual is the model layer. Renown tracks the regional models
as well as the American assistants: Falcon-H1, ALLaM, Jais 2 and Fanar for
Arabic; Sarvam and Krutrim for India; Poro and Viking for Finnish; Mistral and
the European model families. The full roster, and which models are covered by
default against on request, is published at /models.
Each language and region is treated as its own answer market rather than a
setting on a global report, because that is what the data shows they are.
Where others beat it: Peec AI is a cleaner product for a team that only needs
European languages on the major global assistants.
2. Peec AI
Languages: any. Regional models: no. The best-known international optionand deservedly so. Berlin-based, quick to set up, well-liked interface, with the
number of countries set by plan. Coverage is broad across
languages while remaining focused on the major global assistants. If your
markets are European and you want the most straightforward product, look here
first.
3. Profound
Languages: broad. Regional models: no. Enterprise depth and genuinelycapable at capturing answers in different languages, which is useful for
understanding the context a brand appears in. Enterprise pricing on request,
with the team requirement that implies.
4. Zaher.AI
Languages: Arabic-native. Regional models: partial. Cairo-founded with anArabic interface, which makes it one of the few genuinely Arabic-native products
in the category rather than an English tool with Arabic prompts. If MENA is your
only market, shortlist it.
5. SE Ranking
Languages: broad, with a free Arabic tracker. Its free public AI Overviewstracker covers Arabic and the five MENA markets, which is a real and unusually
generous offer. The paid product sits inside an SEO suite, so the value depends
on whether you want the rest of it.
6. Asky
Languages: Swedish first. A Stockholm company built for the Swedish market.Narrow by design, and genuinely local within that. Its own Nordic roundup ranks
it first.
7. Kai Footprint
Languages: APAC focus. Positioned around tracking visibility on non-Englishprompts with particular strength in Asian markets. Worth a look if APAC is the
market that matters to you.
What to test before you buy
Run the same question in two languages in the demo and compare the brand list.
If the answers are identical, the tool is probably translating rather than
measuring, or it is querying one model that behaves the same either way. Both
are a problem.
Ask which models are queried, by name, per language. "We support 100 languages"
usually means one American model prompted in 100 languages. That is a real
capability and it is not the same as measuring the model your buyers in Riyadh
or Chennai are actually asking.
Check whether results are reported per language or blended. A blended average
across markets hides exactly the variation you are paying to find.
Frequently asked questions
Do AI models really give different answers in different languages?
Yes, and the difference is large. Our Helsinki study found English and Finnish
prompts returned different restaurants for the same question, because the models
read different source material in each language.
Which AI visibility tools track Arabic models?
Renown tracks Falcon-H1, ALLaM, Jais 2 and Fanar. Zaher.AI is Arabic-native.
SE Ranking offers a free Arabic AI Overviews tracker. Most of the category
tracks none of the state-backed Arabic models at all.
Which tools cover Indian languages?
Coverage here is thin across the category. Renown covers the major Indian
languages by default and tracks Indian models including Sarvam and Krutrim. Most
competitors handle Indian languages only by prompting a global model in them.
How many languages does Renown support?
The 150+ most spoken languages are covered by default, and anything beyond that
is added on request at no extra cost.
Renown covers the 150+ most spoken languages by default and tracks the regional models that decide answers outside English. See /models.
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