How Language Shifts AI Brand Picks – What It Means for Local Biz

What Happened

The Search Engine Journal recently released a compelling study titled Lost In Translation: How Language Changes Which Brand AI Recommends. This research reveals that when consumers request product suggestions from AI chatbots in various languages, the AI frequently directs them to different brands. Notably, this phenomenon is not limited to a single platform; ChatGPT, Claude, Gemini, and others exhibit similar trends across diverse markets, including Saudi Arabia, Kazakhstan, and Singapore.

Key Details

• Market-wide dominance: In August 2026, ChatGPT alone accounted for approximately 75% of AI-referral traffic in Saudi Arabia, Kazakhstan, and Singapore, while a combination of U.S. models captured over 90% of referrals in these regions.
• Language-based bias: A user in Riyadh searching for "best running shoes" in Arabic is more likely to receive recommendations for a Middle-Eastern brand, while a user in Kazakhstan asking the same question in Russian is directed towards a Russian-based retailer.
• Multilingual AI: This effect extends beyond English. When the same model is queried in Simplified Chinese, Persian, or Arabic, the variety of recommended brands shifts dramatically.
• Citation implications: The brands featured in AI responses become the most cited URLs within the AI’s knowledge graph, significantly impacting search engine rankings and local visibility.

What It Means For Your Business

1. Local relevance is king – For businesses operating in non-English markets, it is crucial to ensure that your website and content are fully localized. AI tends to source information from platforms it considers "native" to the respective language.

2. Optimize for AI citations – Google’s AI visibility scorecards now include factors such as whether your site is referenced in chatbot responses. A robust citation profile in the target language enhances your AI ranking and, consequently, organic traffic.

3. Diversify your brand signals – Implement structured data, local schema, and multilingual press releases to convey to AI that your brand holds authority in multiple languages.

4. Track language-specific traffic – Utilize UTM parameters or AI-analytics tools to isolate traffic from different language queries. This data will help you identify areas of success and those needing improvement.

Practical Steps

• Audit your multilingual content – Verify that every webpage includes a language tag, hreflang annotations, and is hosted on a subdomain or subfolder corresponding to the target region.
• Leverage local citation sites – Ensure your business is listed on country-specific directories, such as Saudi Arabia’s “Mawdoo3” or Kazakhstan’s “KZ Business.”
• Create language-specific landing pages – For high-intent keywords, develop pages that address the query accurately in the local language, supported by reviews and localized data.
• Engage with local influencers – Their content often gains traction with AI models as credible sources, providing an additional citation pathway.
• Monitor AI response changes – Utilize AI monitoring services to track how your brand appears in chatbot responses over time, allowing you to refine your strategy as needed.

Bottom Line

AI is fundamentally changing how consumers discover brands, with language serving as a critical factor. For local and small businesses, neglecting multilingual optimization could mean missing out on a significant share of AI-driven traffic. By actively managing your multilingual presence and citation profile, you can position your brand as a preferred recommendation, regardless of the customer's language.

Why It Matters: When consumers use AI chatbots to locate products, the first brand they see can determine whether they click through or move on. For local and small businesses, if your content isn’t available in the language your audience communicates in, your brand risks being invisible in AI-driven search results. AI citations are increasingly influencing search engine rankings; thus, a lack of citations in a target language may prevent your brand from appearing in top search results.

Additionally, AI visibility extends beyond mere clicks; it relates to perceived credibility. Brands that consistently appear in chatbot responses are viewed as more trustworthy and authoritative. If competitors have already localized their content and secured citations in the languages your customers use, you could lose market share simply because your site isn't optimized for those interactions.

Investing in multilingual SEO, structured data, and local citations can help your brand appear in AI recommendations across various regions. This strategy not only drives traffic but also enhances brand equity in markets that are increasingly integrating AI into everyday shopping experiences.