New research covered by Search Engine Journal suggests that brand visibility in AI-generated answers may change depending on the language a user speaks. For European businesses operating across multilingual markets, that matters because AI search and chatbot recommendations are becoming part of how customers discover suppliers, products and services.

What happened

According to the report, analysis across 1,650 AI responses found that different brands were recommended in different languages. The core implication is that a company that appears prominently in English-language AI answers may not receive the same visibility in French, German, Spanish or other European languages.

The source points to an important limitation in many current AI visibility checks: businesses often test prompts only in English. If the findings hold more broadly, that approach can give an incomplete picture of how a brand is surfaced by large language model-based search and assistant tools in real customer markets.

The article is based on research findings discussed by Search Engine Journal. As reported in the source summary, the key claim is that language can influence which brands AI recommends. Businesses should treat this as a strong signal to review multilingual performance, rather than as proof that all AI platforms behave the same way in every context.

Why it matters for European businesses

Europe is inherently multilingual. Many companies sell across borders, run local-language websites, and adapt campaigns country by country. If AI systems produce different brand recommendations by language, then AI visibility becomes a localisation issue as well as an SEO and content issue.

This has several practical implications:

• AI search performance may differ by market. A business could be highly visible in English prompts but underrepresented in local-language queries that actual buyers use.
• Brand consistency may be harder to maintain. AI tools may associate different competitors, sources or market leaders with the same category depending on the language.
• Content strategy needs broader coverage. Businesses may need stronger local-language product pages, support content, brand mentions and structured information to improve discoverability.
• Measurement becomes more complex. Teams tracking search performance only in English may miss important shifts in customer discovery across EU markets.

For SMEs, this is especially relevant because limited marketing resources often lead to a focus on English-first content. That may be efficient operationally, but it may not reflect how AI-mediated discovery works in local European markets.

Who may be affected

The findings are most relevant for organisations that depend on online discovery or operate in multiple languages:

• e-commerce businesses selling across several European countries
• B2B companies generating leads through search, content and thought leadership
• marketing teams monitoring visibility in AI answers and search platforms
• digital agencies managing multilingual SEO and content for clients
• software and SaaS providers targeting both local and international audiences

Businesses in competitive categories may feel the effect most clearly, especially where buyers increasingly use AI assistants to compare vendors, shortlist products or ask for recommendations.

What companies should consider

European businesses do not need to assume a platform problem to act. The practical response is to improve multilingual visibility checks and localisation quality.

• Test AI prompts in the languages your customers actually use. Do not rely only on English when evaluating brand visibility.
• Review local-language content depth. Make sure product, service and category pages are not just translated, but adapted to the terminology and search intent of each market.
• Check how your brand is described across regions. Consistent company information, use cases and category positioning may help AI systems interpret the brand more reliably.
• Monitor competitors by language. The brands appearing in AI answers may differ between markets, affecting both SEO and paid media strategy.
• Include AI visibility in international marketing reporting. For companies already measuring organic search and conversion by country, AI answer monitoring may become an additional layer of market intelligence.

The broader takeaway for European businesses is that AI search visibility should not be treated as a single, language-neutral metric. In multilingual markets, visibility, recommendation patterns and competitive positioning may vary country by country and language by language.