Boutique Hotel AI Index

Is AI search more important for hotels than wider industry research suggests? We analysed 3.8 million website sessions across 37 hospitality and travel businesses, finding faster-growing AI referrals, stronger booking intent and some surprising gaps in attribution.

A guest asks in a sentence, the AI engine answers in sentences, and the hotels it recommends arrive wrapped in words. So we looked at the words. Research from the Boutique Hotel AI Index.

AI hotel recommendations are two different worlds wearing one interface. There is a churning surface, where the number one hotel changes on four in ten identical queries asked an hour apart. And there is a stable core underneath: a third of the hotels carry seven eighths of all visibility over a month.

Ask five AI platforms the same hotel question and you get five different answers. Five patterns from 13,500 searches, and what they mean for boutique hotels.

Most AI visibility gaps in hospitality are not performance issues. They are the result of poorly chosen prompts that do not reflect how real hotel demand is formed.