Insights · Research briefing

Is AI answering your buyers' questions for the wrong country?

In Genivista's own Gap Checks, AI often answered Irish and UK buyers' questions as if they were in the US. What that means for your shortlist, and the one change that fixed it.

Key points

  • In Gap Checks Genivista ran in October 2026 for companies in Ireland and the UK, most AI answers to buyers' questions did not speak to the buyer's own market.
  • For one company in a category shaped by UK rules, about six in ten answers pointed to the US, naming its regulator and its professionals, and none cited a UK or Irish website.
  • When the same questions named the UK and its regulator, as a UK buyer would, every answer spoke to the UK and more than eight in ten cited UK or Irish websites.
  • Being in the right market's answer is not the same as being recommended in it: the company was still named in almost none of the answers.
  • A fair measure of AI visibility first checks that the answers are about your market at all, before it counts who is named in them.
Market relevance
The share of AI answers to your buyers' questions that speak to the market you sell in: its regulators, prices, websites and the country by name, rather than another country's.

What did Genivista find?

That AI often answers Irish and UK buyers as if they were in the US. Across the Gap Checks Genivista ran for companies in Ireland and the UK in October 2026, only a small minority of answers named the market tested, its regulator, its prices or its websites.

The answers were not wrong for an American buyer. They were simply about another country: its rules, its professional bodies and its suppliers. A buyer in Dublin or Manchester reading them is given a shortlist built for someone else.

Why does AI drift to another market?

Because a question that does not say where the buyer is gets the most common answer, and on much of the web the most common answer is American. The platforms search from the buyer's market, but the wording of the question still decides which rules and which sources the answer draws on.

The drift is strongest where local rules shape the category: tax, legal, payroll, employment and financial services. In those categories an answer written for the wrong country is not just less useful; it describes the wrong obligations.

What changed when the questions named the market?

Almost everything about the answers, and very little about who was named. For one company in a category shaped by UK rules, we asked the same buyer questions twice: first in general terms, then naming the UK and its regulator, as a UK buyer naturally would.

One company, the same buyer questions, asked in October 2026 on ChatGPT, Gemini and Perplexity
Share of answers thatGeneral wordingNaming the UK and its regulator
Spoke to the UK marketabout 1 in 9all
Cited UK or Irish websitesnonemore than 8 in 10
Pointed to the US insteadabout 6 in 10none

The company itself was named in almost none of the answers either way. Getting the market right is the precondition for being recommended, not the recommendation.

What does this mean for a B2B company in Ireland or the UK?

That a measurement which ignores the market can mislead in both directions. It can show you losing to American firms your buyers would never shortlist, or hide that your real local competitors are the ones AI names to buyers who do say where they are.

It also changes the fix. When the answers are about the right market, the sources that matter are local ones: the trade press, professional bodies and regulators your buyers already trust. Being written about there is what reaches AI's answers.

What should a leadership team ask first?

  • When our buyers ask AI for options, is the answer about our market at all?
  • Which of our competitors does AI name to buyers who say where they are?
  • Which local sources does AI draw on in our category, and are we in them?

A Gap Check answers all three, in your market's own terms. Send your website, the market you want measured and your top three competitors for that market, and Genivista sends the report at no charge, walked through with Neil.

Questions

Does AI know which country I am in?

Only partly. The platforms search from your location, but the wording of the question still shapes which rules and sources the answer uses. A question that names the market gets an answer about that market.

Which categories are most affected?

Those shaped by local rules: tax, legal, payroll, employment, regulation and financial services. In these an answer written for another country describes the wrong obligations as well as the wrong suppliers.

Does this mean my AI visibility is better than it looks?

Not necessarily. In our Gap Checks, naming the market made the answers relevant but did not put the company on the shortlist. It shows you who you are really competing with in AI, which is where the work starts.

Sources

  1. “Gap Checks of six B2B companies in Ireland, the UK and the US, anonymised”, Genivista, Genivista, . Genivista's own gap checks run between 6 and 19 october 2026 on chatgpt, gemini and perplexity; companies anonymised; market signals counted from each answer's wording and cited web addresses, so figures are indicative. https://genivista.com/gap-check

Related

Cite this article: Neil Harte, “Is AI answering your buyers' questions for the wrong country?”, Genivista, 19 October 2026. https://www.genivista.com/insights/is-ai-answering-for-the-wrong-country

What is your Gap?

Send your website, the market you want measured and your top three competitors for that market. Genivista sends you a Gap Check report at no charge, and Neil walks you through it.