A traveler opens ChatGPT and types: "recommend a boutique hotel in Milan for a design lover."
Within seconds, five hotels appear. Yours isn't one of them. You might be wondering: “but my property has exceptional design, great reviews, a perfect location.”
At that moment, for that user, it simply doesn't exist. This happens thousands of times every day, and most hotels don't know it's happening.
The shift in travel discovery
More travelers are using AI tools during trip planning, and in some segments it's already becoming a starting point.
Instead of browsing multiple websites, users ask a question and get a shortlist - just one step from inspiration to selection. When someone asks "recommend a spa hotel near Florence," a few properties come up and others don't get mentioned. If a hotel isn't in that first answer, it usually doesn't enter consideration later for that user cluster.
Right now, most hotels have limited visibility into this process. They track search rankings, OTA performance, and campaigns, but they don't know how often AI recommends them or whether they appear at all.
Do you know how visible your hotel is on AI Platforms?
AI Users = Engaged Users
When users arrive on a hotel website through AI-driven recommendations, their behavior tends to be different. They often have clearer intent, as part of the selection has already happened before they land on the site.
Early data reflects this. In our internal sample of 150 properties, users coming from AI-driven discovery show higher engagement with booking engines (around 35% compared to 20% cross-channel) and lower bounce rates (around 20% versus a 40% average).
They arrive clearer on what they want because AI already filtered for them. The key question becomes whether your hotel is part of that filtered set.
From Keywords to Conversations
Another shift becomes clear when looking at how people phrase their requests on AI. They rarely search for a hotel by name, they rather describe what they are looking for: a design hotel, a wellness stay, a romantic weekend.
You can think of these as different archetypes, each with its own language and expectations. Someone looking for a "tranquil escape near Rome with a spa" wants peace and restoration. Someone searching "minimalist hotel Milan contemporary architecture" wants visual clarity and curation. Someone needing a "transformative wellness retreat Tuscany" wants renewal and balance.
AI connects hotels to these areas based on what's available online. A hotel might be strongly associated with one theme and weakly with another, even when both are part of what it offers. A property might appear regularly in design queries but almost never in wellness ones, despite having a spa. The association just isn't strong enough.
This is where the real shift happens: most AI solutions work on what happens after users reach your site, but the change is happening earlier, in how people find and discover hotels. We moved from optimizing conversion to needing to optimize discovery. From a tool to a system.
What our Dashboard Reveals
Our AI Visibility Dashboard shows where your hotel stands across the semantic areas relevant to your positioning. Where you're winning, where competitors dominate, where opportunities exist.
Some properties find they're invisible in semantic areas they thought they owned. Others discover untapped areas where small investments make a difference. All of them get clarity on something they were operating blind in. The hotels moving first saw the shift early and moved, while competitors stayed focused only on traditional channels.
Want to know if ChatGPT, Gemini, Claude recommend your hotel when travelers ask?
Contact us to find out where your property stands and how to close the gaps that matter.
Your guests are asking AI. Make sure your hotel is in the answer.
