Questions buyers ask AI
Examples of the questions where AI names specific brands. Track questions like these for your own business.
Why answers differ by language
- AI engines search and read sources in the language of the question, so different sites shape the answer.
- Brands with strong coverage in English may have little coverage in other languages, and lose those answers.
- People mix languages, such as Hinglish, and AI handles mixed phrasing in its own way.
- Some engines are stronger in some languages than others, so results vary by engine too.
Hindi
Hindi questions often draw on Hindi news sites, YouTube and regional publishers. Many people mix Hindi and English, so track both pure Hindi and Hinglish phrasing. Publish key pages in natural Hindi, not literal translations.
Arabic
Arabic questions come from many countries, and AI tailors answers to each. Track Arabic by country, such as the UAE, Saudi Arabia and Egypt. Publish key pages in Arabic, laid out right to left, and get covered by Arabic publishers.
Spanish
Spanish varies between Spain, Mexico, the US and South America, and so do the brands and sources AI uses. Track the countries you sell in separately, and write for each audience's vocabulary and prices.
How to win answers in another language
- 1Pick the languages and countries that matter for revenue.
- 2Track the same buyer questions in each language.
- 3Publish natural pages in each language, with local prices and examples.
- 4Add hreflang so search engines show the right version.
- 5Earn coverage on sources in each language.
- 6Compare visibility across languages and close the biggest gaps first.
How Variask helps
Variask tracks the same prompts in any language and country on every plan, so you can see where you win in English and lose in Hindi, Arabic or Spanish, and which sources make the difference.