AI search results depend heavily on query language, favoring native content

AI models' search results vary significantly based on the query language, with non-English queries favoring local-language sources. A study by Profound found that query language alone alters which domains are cited, while a Weglot study indicated that multilingual websites are cited much more frequently. Effective GEO localization requires content to be written in the natural phrasing used by users of AI assistants and published on trusted local platforms, rather than relying solely on machine translation. AI

IMPACT Businesses must shift from English-first SEO to native-language content creation and distribution to ensure visibility in AI-driven search results.

RANK_REASON Article discusses implications of AI search behavior for SEO/GEO strategy, citing studies and expert analysis.

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• Bing Copilot
• ChatGPT
• Claude
• Gemini
• Joseph Timpson
• Perplexity
• PROFOUND
• SPRCTD
• Talpiotech
• TechNode Global
• Weglot

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