How do you manage AI reputation across multiple languages and markets?

Multi-language AI reputation work is not a translation problem; it is a separate-ecosystem problem. The engines return different sources in each language, the source authority signals are calibrated per-language, and the Wikipedia and Wikidata layers are language-specific (a strong English Wikipedia article does not produce a German AI response if the German Wikipedia article is thin). Programs that operate seriously across markets monitor each priority language’s AI engines as their own layer in AIQ™, invest in language-appropriate authoritative content (press in local outlets, owned content in the target language with proper schema, third-party coverage in language-relevant directories), and ensure the entity infrastructure exists in each priority language – Wikipedia article in the target language, Wikidata labels and descriptions in the target language, sameAs links across the language versions. Done properly, the engines treat the brand consistently across markets; done poorly, the picture varies sharply by language in ways that surprise CCOs the first time they look.