Why Do LLM Citations Vary by Country, Language, and Topic?

Why do citations differ between markets?

• Different search results. Assistants retrieve through search indexes, and results differ by language and country.
• Different sources exist. Each language has its own publishers, review sites, directories and forums. A French answer draws on French sources where they exist.
• Location signals. OpenAI says ChatGPT may use a user's IP address to estimate their general location, and Google's AI features use location like ordinary search.
• Crawler access differs. Some large local platforms block AI crawlers. South Korea's Naver, for example, disallows OpenAI, Anthropic, Perplexity and Google's AI crawlers from its blog and map services, so answers in Korean draw on other sources.
• Local competitors. In each market, local brands with strong local coverage compete for the same few places in an answer.

Do ChatGPT citations vary by language and location?

Yes, and language is the stronger force. In Profound's study, ChatGPT's share of citations going to social platforms was about 9% overall. It dropped in every non-English market studied, to roughly 4–5% for Spanish queries from Spain and Mexico. Spanish queries produced nearly identical patterns whether they came from Spain or Mexico, which shows language outweighing geography. Google's AI Overviews moved in both directions. They cited social content about 1.4 times as often for Spanish as for English, and much less in Swedish and Arabic.

Brand naming also varies by country. Semrush and Growth Memo found that about half of AI answers to queries from India and Sweden named a brand, against 18–22% in Italy, Brazil and the Netherlands, even though answers in those three markets cited sources at very high rates.

Can a brand be visible in English AI answers but invisible in other languages?

Yes, and it is common. A study by the translation company Weglot looked at popular Spanish-language websites without English versions. They received 17,094 citations in AI Overviews for Spanish queries but only 2,810 for the same queries in English. Sites with both language versions showed a much smaller gap. The same logic works in reverse for English-only brands entering other markets. The study comes from a vendor that sells translation, but the pattern matches how retrieval works.

Coverage thins further in less widely used languages. An August 2026 academic audit of ChatGPT, Perplexity and Google AI Overviews asked mental health questions in several languages. Non-English queries surfaced fewer citations and were routed to resources in the user's own language significantly less often. Whether translation alone raises citations is covered in whether translating website content increases the chance of LLM citations.

Do AI search engines mention brands differently in the US and EU?

Often, yes, for several reasons:

• Different source ecosystems. Review platforms, comparison sites and publishers differ. A platform dominant in US answers may barely appear in European ones, and vice versa.
• Different competitors. European answers tend to name brands with European presence, local pricing and local reviews.
• Different product availability. Features, plans and pricing that differ by region lead to different answers, and outdated regional information causes errors.
• Regulation. Consumer, privacy and financial rules differ, and answers about regulated products often cite national regulators and local sources.
• Feature rollouts. AI features and integrations sometimes launch in the US first, so answer formats and sources differ between markets for a time.

How does the topic change citations?

• How often answers cite at all. Similarweb found about 6.8% of US ChatGPT prompts produced citations overall in May 2026, but about 23% of travel prompts and 20% of automotive prompts.
• Which kinds of source. In the mental health audit, government, commercial health and academic sources each made up about 22% of English citations. Muck Rack found questions about industry trends cited journalism more than twice as often as how-to questions.
• Social and community content. Profound found social platforms' share of citations ranged from about 15% in AI Overviews to under 4% in Gemini, with large shifts by language.

So a brand can be well cited for product comparisons and absent for how-to questions in the same market, because different sources dominate each.

How global companies localize content for consistent LLM citations across regions

1. Publish real local-language pages for priority markets, written or reviewed by native speakers, not only machine-translated.
2. Localize the facts: prices in local currency, local availability, local regulations, local customer examples and local contact details.
3. Use hreflang and clear URL structures so search engines serve the right language version.
4. Build local third-party presence: local review platforms, directories, trade press and partners in each market.
5. Keep the entity consistent: the same brand name, descriptions and core facts in every language, so assistants recognise one company.
6. Set up local Business Profiles and listings for each country office or store.
7. Test each market separately, in its language and with local location settings.

The general mechanics of source selection, which apply in every language, are explained in how LLMs choose which sources to cite.

How do you measure citations by market?

Build a question set for each language, written by native speakers in the way local buyers ask. Run each question several times per engine with local location and language settings. Record whether you are named, how you are described, and which domains are cited, especially local competitors and local sources you are missing from. Compare markets quarterly. The cited domains in each market form your outreach list for that market.

What might an illustrative case look like?

Consider an illustrative online language school based in Madrid with Spanish and English sites. It is cited in Spanish answers from both Spain and Mexico, but only for how-to questions; for "best online Spanish course" comparisons, answers cite review platforms and video roundups instead. The school adds a comparison page with prices in euros and pesos, completes its profiles on the review platforms those answers cite, and keeps asking every student for an honest review in their own words. It then tracks how-to and comparison questions separately in each language, because each draws on different sources.

What do people ask about citations across countries and languages?

Does machine translation help?

It helps retrieval if the translation is accurate and natural. Poor translations and missing local facts limit the benefit.

Should we create separate sites for each country?

Not necessarily. Language folders or subdomains with hreflang work well if each version is complete and localized.

Why do non-English answers cite English sources about my market?

Usually because too few sources exist in the local language. Local-language content and coverage fill the gap.

Which markets should we localize first?

Those with the most revenue potential and the biggest gap between your English visibility and local-language visibility.