A recent study conducted by a Turkish artificial intelligence firm has shed light on the varied sources Google’s AI utilizes when answering business-related questions in different languages. Citelens, the company behind the research, found notable disparities in the sources used by AI when responding to similar business queries in Turkish versus English, underscoring the necessity for brands to develop language-specific AI visibility strategies.
The analysis involved 444 business-related questions posed in both Turkish and English, with a focus on the domains cited by Google’s AI in its responses. The results revealed a mere 22% overlap in domains between the two languages, suggesting that brands with visibility in one language might not automatically have the same presence in another. This highlights a significant aspect for businesses aiming to maintain their digital footprint across different linguistic markets.
Interestingly, while the availability of AI-generated responses was high in both languages, with 96% for English and 94% for Turkish, the choice of sources differed markedly depending on the language and market context. This indicates that businesses looking to make an impact in Türkiye cannot solely depend on their English-language online presence. Instead, they need to prioritize local content, regional authority sources, and strategies tailored to the language to enhance their visibility in Turkish AI-driven results.
Citelens advises that brands should treat Generative Engine Optimization (GEO) as a distinct process for each language and market environment. For those tracking AI visibility in Turkish, it is recommended to evaluate performance specifically within the Turkish search landscape, rather than relying on English results as a standard measure. The company’s research involved comparing AI-generated answers using diverse country and language settings, highlighting the importance of understanding the source domains from numerous queries.
This research emphasizes that AI visibility is increasingly becoming a localized challenge, demanding businesses to adopt customized strategies to strengthen their presence across different languages and regions. As AI platforms continue to evolve in determining which information to recommend, tailoring strategies to specific languages and markets is becoming more crucial than ever for businesses aiming to succeed in the digital age.
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