AI Search in Local Markets: Why Answers Change by Language and Country

Ask ChatGPT for the best private clinic in Tashkent in English. Then ask the same question in Russian, and again in Uzbek. There is a good chance you will get three different lists. Some names will overlap, some will disappear, and the sources behind each answer may have little in common.

This is not a glitch. It reflects how AI assistants work, and it has real consequences for any business that operates outside the English-speaking world.

Why the language of the question matters

AI assistants do not keep one fixed list of "best brands". They generate each answer from patterns in their training data and, increasingly, from web pages they retrieve at the moment of the question. Both of these depend heavily on language.

• Training data is uneven. The volume of text available online differs enormously between languages. English dominates, while languages such as Uzbek have far less content on the open web. A model has simply seen less about your market in some languages than in others.
• Retrieval follows the query. When an assistant searches the web to build its answer, it tends to look for pages in the language of the question. A Russian query pulls in Russian-language sources, an Uzbek query pulls in Uzbek ones.
• Context is inferred. The language of a question can signal where the user is and what they expect. An English question about a city may be treated as coming from a visitor, while the same question in the local language may be treated as coming from a resident.

The result is that your brand can be well known to an assistant in one language and nearly invisible in another.

The case of Uzbekistan and Central Asia

Uzbekistan and its neighbors are a clear illustration, because several languages and information ecosystems coexist.

Three languages, three pictures

Customers in Uzbekistan search and ask questions in Uzbek, Russian and, in business and tech, English. Each language leads to a different set of sources:

• Uzbek queries draw on Uzbek-language news sites, government and institutional pages, and a smaller but fast-growing pool of local content. Uzbek also appears in both Latin and Cyrillic scripts, which splits the available material further.
• Russian queries draw on a large regional media space that spans Central Asia and beyond. Brands from neighboring markets can easily appear in answers meant for a local customer.
• English queries rely more on international sources: global review platforms, travel guides, international media and English-language directories. Local companies without an English presence are often missing.

Local media

National outlets such as Kun.uz, Gazeta.uz and Daryo.uz publish in more than one language. Coverage in one language version does not automatically appear in the others. A story that exists only in Uzbek may help with Uzbek queries but do little for Russian or English ones.

Telegram channels

In Uzbekistan and much of Central Asia, Telegram is a central channel for news, business updates and customer communication. Many brands invest most of their content effort there. The difficulty is that much of this content is less accessible to AI assistants than ordinary web pages, and it is often not linked to a clear brand website. Activity that is highly visible to people can be much less visible to AI.

Local directories and maps

Map and directory services that are popular in the region, such as 2GIS and Yandex Maps, hold structured information about local businesses: addresses, categories, hours, reviews. These listings help confirm that a business exists and what it does. Incomplete or inconsistent listings, especially with different name spellings in different languages, weaken that signal.

What this means for any non-English market

The details are specific to Central Asia, but the pattern applies in many countries where people use more than one language or where English content is thin. If your customers ask questions in a local language, your visibility in English tells you little about your visibility where it counts.

What to do about it

Measure in every language your customers use

Run the same core prompts in each language and compare. Look at presence, position, competitors named and sources cited separately for each language. Gaps between languages are often the biggest opportunity.

Publish real content in each language

A short translated homepage is not enough. Create substantive pages in each language: product descriptions, FAQs, comparisons and guides. Where a language has more than one script, decide how you will handle it and stay consistent.

Fix naming across languages and scripts

Decide on the official spelling of your brand in Latin and Cyrillic and use it everywhere. Where variants are unavoidable, make sure each profile links back to the same website and repeats the same core description.

Earn coverage in each language version of local media

When you work with local outlets, aim for coverage in the language versions that match your audience. One well-placed article in each language can close a gap that no amount of single-language activity will.

Connect Telegram to the open web

Keep using Telegram, but give your most important content a permanent home on your website. Publish announcements, guides and answers as web pages and link them from your channel, so both people and AI assistants can find them.

Complete local and international listings

Fill in regional directories and map services fully and consistently. If you serve international customers, add relevant global platforms as well, with the same name and description.

See how AI answers differ for your brand

The only way to know how your brand looks across languages is to check. Run a free AI visibility check with BrandTop AI to compare how ChatGPT, Gemini, Perplexity, Claude and Google AI Mode describe your brand in Uzbek, Russian and English, or in the languages of your own market, and get a clear plan for closing the gaps.