AI already recommends your hotel before you know it

Your next guest might not find you on Google. They'll ask ChatGPT or Gemini for a hotel in your city and take whatever the model ranks first. According to a recent explainer from Hospitality Net, that shift is already happening, and most hotels aren't ready for it.

The problem is data. AI models pull from everywhere: your website, OTAs, Google Business, review sites, press mentions. If your room count says 82 in one place and 80 in another, if your restaurant closed two years ago but still shows up as open, if your star rating doesn't match across platforms, the model doesn't flag the inconsistency. It just picks whatever it sees more often and runs with it. And if a competitor's profile is cleaner, sharper and more up to date, the AI recommends them, not you.

My take: this is the new SEO, and it hits harder because there's no algorithm to game. The fix is boring and cheap, but it works. Audit every platform where your hotel appears, standardize the basics (name, address, room types, amenities, F&B), refresh descriptions quarterly, and push your best content to the sources models actually scrape. Hotels that treat their data like a product win the recommendation. The rest find out too late, when the booking never arrives.