Does AI Cite You Differently by Country? How to Check
2026年9月23日

Does AI Cite You Differently by Country? How to Check

An AI engine that searches the web can pick different sources depending on where the question comes from. Which engines' APIs let you set a country and which do not, per their own docs, and how to compare your home market with another.

本文目前只有英文版。站点其余部分已汉化,这篇内容尚未翻译。

Yes, an AI engine that searches the web can cite different sources depending on the country the question is asked from, because the search step behind the answer is localized. Of the engines covered here, three let a developer set that country through their APIs: OpenAI, Anthropic's Claude and Perplexity. Two do not: Google's Gemini API grounding and xAI's Grok. So you can compare your home market with another market directly on three engines. On the other two, you should read any "by country" claim with care, because nothing in their public APIs lets you set it.

Why the country can change the answer

An answer engine with web access does two things: it searches, then it writes from what it found. Location enters at the first step. A search for the same words run from the UK and from Brazil returns different result sets: local retailers, local press, local review sites, pages in the local variant of the language. The engine then writes its answer from whichever pages it retrieved.

So the brand that is the obvious answer in one market can be missing in another. That is not because the engine has an opinion about you. It is because the pages that mention you rank in one country's results and not the other's. It cuts both ways. A company well known at home can be invisible to buyers abroad, and a company that sells mainly abroad can find that engines asked from its home country barely know it.

This is also why no country setting does not mean no country effect. An engine with no way to set location from outside still searches from somewhere. You just cannot choose where.

What each engine's documentation says

Everything in this table was read from the vendors' own developer documentation on 2026-09-24. It describes their APIs. Consumer apps use the person's own location signals, which nobody outside can set.

EngineLocation setting in the APIWhat the docs describeSource
OpenAI (ChatGPT's search, via the Responses API)Yesuser_location on the web_search tool, of type approximate, with country, city, region and timezone fieldsOpenAI web search guide
Anthropic (Claude)Yesuser_location on the web search tool, type approximate, at least one of city, region, country or timezoneClaude web search tool
Perplexity (Sonar API)Yesuser_location inside web_search_options, with a two-letter ISO country code, plus optional region, city and coordinatesPerplexity Sonar search filters
Google Gemini (API grounding with Google Search)Not documentedThe google_search tool is enabled with no location parameter. The page, last updated 2026-09-23, lists noneGrounding with Google Search
xAI Grok (web search tool)Not documentedParameters listed are domain allow/exclude lists and image options. No locationxAI web search

Anthropic's page states the purpose plainly: "The user_location parameter allows you to localize search results based on a user's location." That is the right mental model for all three. The setting moves the search, not the language and not the model.

Two cautions about reading this table:

  • "Not documented" is a statement about the docs, not the engine. Gemini and Grok may well localize internally, for example from the IP address of the calling server. What their public API does not do is let you choose.
  • API behaviour is a proxy for the consumer app. The engines' apps and their APIs are related products, not the same product. A check through an API tells you what that engine's search retrieves for a question from a given country. It does not reproduce one particular person's session.

How to test it

The comparison is only useful if everything except the country stays the same. Keep the same question, the same wording, the same language and the same day, and change only where it is asked from.

1. Pick the question before the countries. Use a question a buyer in both markets would really ask, in the language you would ask it in. If you sell in two languages, treat each language as its own test rather than mixing them.

2. Run it from your home market first. This is your baseline: which engines cite you, and which sources they cite instead of you where they do not.

3. Run the identical question from the target market. Change nothing else. Our free AI visibility checker has an Ask as a user in setting and a Compare with your home market view. That view runs two separate checks and shows them side by side, highlighting engines that cite you in one market and not the other. Engines with no location setting are asked without one and are marked as such in the result. If one of those rows differs between the two checks, that is run-to-run variation, not the country, because nothing about the question changed for that engine. Grok is asked only on paid plans. The checker asks one short question per engine, your brand name, so it tells you whether each engine connects your name to your site in each market. It is a first reading, not a full picture of every question buyers ask there.

4. Read the sources, not just the verdict. A market where you are not cited is only half a finding. The other half is who is cited. The free result flags when an engine's sources pointed somewhere other than your site. The source list itself comes with the one-off check pack, or you can ask the engine the same question yourself and read its citations:

  • Local directories, marketplaces or review sites mean you are missing from the places that market's search results already trust.
  • Local competitors mean the question is being answered, just not by you.
  • A company or thing with your name means the problem is identity, not geography. Our post on brand-name collisions in AI answers covers that case.

5. Repeat before concluding. One run of one question is one sample. Answers vary between runs even from the same country, so treat a single difference as a lead to check again, not as a result.

What tends to help in a market where you are missing

We can't tell you a market will turn around by a certain date, and nobody honestly can. What these steps do is change which pages exist for that market's search to find:

  • Pages written for that market. Localized pricing, local case studies, local contact details, and correct hreflang so search engines serve the right version. Our hreflang generator produces the tags.
  • Presence in the sources that market's answers already cite. These are often directories, trade press and comparison sites, which is what the source list in step 4 is for.
  • A consistent name and description everywhere. If your company is described differently in each market, engines have a harder time treating it as one entity.
  • Tracking the questions from that market over time, not a one-off check. If you are planning an expansion, our guides for Europe and North America set out what to measure.

None of this makes the country more important than the question. Both change the answer, and they are worth testing separately. But when you sell in more than one country, checking only from your home market means you only know how you look from there.

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