AI visibility does not transfer between markets
What 98,601 AI answers show
Same brand, same week, two different answers
Nothing about the brand changed. Same products, same site, same category, same questions, same week. What changed was the market the question was asked in.
We built the Found AI Visibility Index to measure which brands AI assistants actually name when people ask what to buy. It runs weekly across twenty ecommerce categories in Australia, the United Kingdom and the United States, putting the same 150 buying questions to ChatGPT, Perplexity and Google's AI Overviews in each market and recording every brand named in every answer.
Sixty-four of the 2,324 brands we track trade in more than one of those markets. They are the most interesting brands in the dataset, because they are the only ones that let you hold the brand constant and change everything else. What they show is that AI visibility is not a property of a brand. It is a property of a brand in a market, and it has to be earned again at every border.
Twenty-nine per cent of brands swing by ten points or more
The gaps are not noise at the bottom of a ranking. They happen at the top, to brands that are category leaders somewhere. Antler loses 43.6 points and twelve rank places. Bailey Nelson loses seventeen points and twenty-one places. Gymshark, the most visible activewear brand in Britain, is seventh in the United States.
They also run in both directions. Away is second in American luggage and third in British. Rogue Fitness is second in the United States and fourth in the United Kingdom. Castlery is more visible in Australia than in the market it is bigger in. There is no single home advantage rule to apply; there is only the market you have actually earned.
For a brand planning a second market, this is the uncomfortable part. The assumption inside most expansion plans is that awareness travels: that being known here means being findable there, eventually. In the answer layer it does not. A brand entering a new market starts from something close to zero visibility no matter how established it is at home, and the assistant's answer is now the shelf.
The shelf you are crossing the border to reach has five slots
A search results page gave you ten links and a second page nobody visited. An assistant gives you a sentence, and a sentence holds three or four names. By the tenth brand, 76.6% of the category is spoken for.
The other half of that arithmetic: of the 2,324 brands we measured, 240 were never named once. Not ranked low. Named zero times, in any market, on any assistant, to any of the 150 questions in their category. That is 10.3% of a set made up entirely of real, trading, funded brands.
And there is no such thing as AI visibility
ChatGPT is the strongest surface for two thirds of visible brands, which means that for the other third it is not. A brand that measures itself by asking ChatGPT a few questions is measuring roughly half of its exposure, and has no idea which half.
Read together with the border finding, this is the practical shape of the problem: a brand does not have an AI visibility number. It has one per market per assistant, and those numbers disagree with each other.
The audience you built does not buy you the answer
The honest version of this is not that followers are irrelevant. Across 51 indexes the median rank correlation between followers and visibility is 0.48, which is a real relationship and a loose one. Four indexes are flat or negative. What fails is the assumption that a large audience converts into a place in the answer, and it fails hardest at the top of the follower range, where brands are most confident it holds.
Which is why a brand can cross a border with two million followers already in the new market and still not be named.
What we tested and could not claim
Using the head office recorded against each brand, 87% of multi-market brands were most visible in their home market, which looks decisive. It is not: the office field records local offices for global brands, so Samsonite and American Tourister were both classed as Australian, and the sample was selected by which market happened to have a readable head office. Using the brand's own country domain instead, only twelve brands qualified and the effect reversed, with 42% strongest at home.
Two tests, two answers, both driven by how origin was inferred rather than by the brands. So we are not claiming a home-market advantage. The gap between markets is measured directly and stands on its own; the reason for it is a question we can answer properly when we hold origin data we trust.
We are including this because a report that only prints what worked is not a measurement, it is an advertisement. The border gap survives testing. This explanation of it did not.
What to do before you cross
How this was measured
Questions this report answers
Does a brand's AI visibility transfer between countries?
Do ChatGPT, Perplexity and Google AI Overviews recommend the same brands?
How many brands do AI assistants actually name in a category?
Do more Instagram followers mean better AI visibility?
How is AI visibility measured in this report?
Find out what the assistants say about you
Every brand in this report has a page in the Found index showing its score, its rank, its platform split and the gap to its category leader. If you trade in more than one market, it will show you both.
If the number is worse than you expected, that is the useful case. We can tell you which of the five slots is winnable, in which market, and what it would take.
Look up your brand in the Found index