Why American travelers ask AI different questions than Italians

My business is in Italy, but most of my customers are American travelers. When people ask whether that changes how AI visibility works, my answer is that it changes almost everything. It is the specific case I built this work around, because I live inside it every day.

My own travel business, MyTuscanDays, is a useful example, because it does well here and still has a gap. When I tested it, it showed up for most of the questions an American would ask, strong on things like private tours and tastings. But on the questions about “authentic local experience,” it did not come up, and something else did. The lesson was not that the business is weak there. It is that the words an American reaches for when they say “authentic” were not on my page, so the model had nothing of mine to match, and it answered with whoever did use them.

How American travelers search with AI, and why it is different

An American planning a trip to Tuscany does not type what an Italian would. They ask in English, with American assumptions baked in. They think in driving times, not train lines. They ask whether a place is “worth it,” whether it is “family friendly,” whether they can do it as a day trip from Florence. They worry about distance the way someone from a big country does, and they measure it in hours behind a wheel.

So when they ask an assistant where to stay or what to do near Cortona, the question itself is shaped by all of that. If your online presence answers the questions an Italian guest would ask, in Italian, the model has nothing to match against the American version, and it reaches for a business that does.

Translation is not the same as speaking to them

Here is the mistake I see most often. An owner runs their Italian copy through a translator, ships it, and assumes the English box is now ticked. It is not. Translated copy answers Italian questions in English words. It rarely uses the phrases an American actually types, and a model notices the gap even when a human skims past it.

Speaking to American guests means writing for how they think. It means naming the day trip they are picturing, the drive they are worried about, the season they are asking about. That is content work, not a translation setting, and it is one of the highest-return changes an Italian business serving American guests can make.

The vocabulary gap is bigger than most owners think. An American does not search for “structure ricettive” or “cantina con degustazione.” They ask whether they can “do a wine tasting near Cortona without a car,” or whether your town is “a good base for day trips,” or what there is “to do with kids on a rainy day.” Those are the exact strings a model tries to match, and if none of them appear anywhere in your content, in that form, you are not in the running. Writing for them is not about better grammar. It is about answering the question they actually typed, in the words they actually used.

Testing it the way they would

This is also why I test the engines the way an American would, from the outside, logged out, not from inside your market where the results are quietly bent toward you. I run the questions in English, with the assumptions a traveler from Boston or Austin brings, so what I record is close to what your actual customer sees. The difference between that and a test run from inside your own market is not small. From the inside, the engines already know you and flatter you. From the outside, they treat you like a stranger, which is exactly how your next American guest arrives at them. If you only ever check from your own account, you are grading your own homework.

I go deeper on the specific errors these businesses make in the three biggest AI mistakes American-run Tuscan properties make. If you want to see how you look to an American asking ChatGPT about your area, the free snapshot on the home page runs exactly that test.