A recent study conducted by a Turkish artificial intelligence firm, Citelens, has uncovered intriguing differences in how Google’s AI Overviews source information for business-related queries in Turkish and English. By analyzing 444 questions posed in both languages, the research highlighted the critical need for brands to adopt language-specific strategies to enhance their visibility on AI platforms. The study found a mere 22% overlap in the domains that Google’s AI cited between the two languages, suggesting that a brand’s prominence in one language does not necessarily translate to the other.
The analysis further revealed that Google’s AI generated responses for 96% of English queries, slightly more than the 94% response rate for Turkish queries. Despite the marginal difference in response rates, the sources chosen by the AI varied notably depending on whether the question was asked in Turkish or English. This variation underscores the importance of understanding the linguistic and market contexts in which AI systems operate.
For businesses aiming to establish a foothold in Türkiye, relying solely on an English-language digital presence is insufficient. The study suggests that businesses need to prioritize localized content, leverage regional authority sources, and implement language-specific optimization strategies to improve their AI visibility in Turkish. As AI technologies increasingly shape information dissemination, adapting to these localized dynamics becomes crucial for maintaining a competitive edge.
Citelens underscores the importance of treating Generative Engine Optimization (GEO) as a distinct endeavor for each language and market. To accurately track AI visibility in Turkish, businesses must assess their performance within Turkish search environments rather than using English results as a benchmark. The research methodology involved comparing AI-generated answers across different country and language settings, providing insights into the diverse sourcing preferences of AI systems.
The findings highlight an emerging trend where AI visibility becomes a localized challenge, demanding tailored strategies from businesses seeking to enhance their presence across various languages and regions. As AI platforms continue to evolve, companies must remain vigilant in adapting their digital strategies to meet the unique demands of each linguistic market.
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