AI answers in every language your customers speak
An AI visibility program that only monitors English prompts measures maybe a third of your market. The engines answer in the user’s language, cite local sources, and name different brands — the French answer to “meilleur CRM pour agences” is not a translation of the English one.
Why non-English answers diverge
The fan-out searches run in the prompt’s language, against that market’s index. French prompts retrieve French review sites, French forums, French directories — the citation pool is local, so the answer is local. Your English-language content is invisible to it unless it ranks in that market.
The monitoring shape
Two axes, both explicit parameters:
- Language: the prompt text itself — write native-language prompts, don’t translate word-for-word (“best X” has market-specific idioms)
- Market:
country— which sets the locale, currency hints and the search index behind the fan-out
Run the same intent in each market’s native phrasing:
[
{ "payload": { "prompt": "meilleur CRM pour agences", "country": "FR" } },
{ "payload": { "prompt": "bestes CRM für Agenturen", "country": "DE" } },
{ "payload": { "prompt": "best CRM for agencies", "country": "US" } }
]What the data tells you
- Where you’re invisible: strong mention rate in English, zero in German — that’s a content-market fit problem, not an awareness one
- Which local sources dominate:
sources[]per market shows which local review sites and directories to target — the citation mechanics are universal, the winners aren’t - Prioritization: where entering the citation pool needs a localized page vs a whole localized content program
Per-market prompt sets run as one batch; credits cost the same in every language. See geo differences within the US for the state-level version.