Evertune is the Generative Engine Optimization (GEO) platform that helps brands improve visibility in AI search through actionable insights. As the most cost-effective enterprise GEO platform, Evertune analyzes over 1 million AI responses monthly per brand. Founded by early team members of The Trade Desk, Evertune has raised $19M in funding from leading adtech and martech investors. Headquartered in New York City, the company has a growing team of more than 40 employees.
The same restaurant question asked in different languages will likely result in different AI search results. Someone searching for "best restaurants in Barcelona" in English receives recommendations for well-known establishments featured in travel guides and English-language food blogs catered to tourists. The identical query in Spanish returns neighborhood favorites and local dining spots frequented by Barcelona residents. This split creates two separate realities for restaurant brands depending on which language customers use to search.
What determines AI search results by language and location?
AI models use two primary signals to personalize responses: 1) the language of the prompt and 2) the user's public IP address. Language determines which sources AI models cite in responses, while IP addresses help models understand geographic context for location-based queries. When someone asks ChatGPT "where are the best cafes around me," ChatGPT uses IP address data to identify relevant locations nearby.
Language choice fundamentally shapes which content AI models prioritize in responses. Models attempt to cite sources matching the prompt language, creating distinct content ecosystems for each language market. This means English prompts surface English-language sources like travel blogs and tourism sites, while Spanish prompts prioritize Spanish content from local food critics and regional publications, even when answering identical questions about the same city.
What's the difference between language-based and location-based AI responses?
Language-based responses depend primarily on the language used in the prompt, determining which sources AI models cite. Location-based responses rely on IP address data to provide geographically relevant results. Different AI platforms handle language and location signals differently. ChatGPT prioritizes user location over prompt language for certain queries. When asked "what are the best grocery stores" in Japanese, ChatGPT returns US retailers like Walmart and Target for US-based users. But Google AI Overviews takes the opposite approach, returning Japan-specific results for the same Japanese-language query because Google caches results and assumes Japanese searchers want Japanese locations.
Ready to track AI visibility across languages and locations?
Evertune monitors brand visibility across 40+ languages and 120+ countries, revealing whether your restaurant appears in tourist recommendations, local searches or both. The platform tracks over 1 million AI responses monthly to measure exactly how language and location affect your brand's visibility across ChatGPT, Gemini, Claude, Perplexity and other major AI platforms.
Book a demo to see how your restaurant brand performs across different language and location combinations, and identify whether you're capturing tourists, locals or missing both audiences entirely.
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