Perplexity, ChatGPT and Gemini form a view of your property from years of reviews, editorial mentions and guest forums. Few independent hotels know what that view is — or what's driving it.
See what's shaping your AI narrative →Early access — join the first independent hotels monitoring their AI narrative.
Before your next guest picks up the phone or opens a booking site, there's a good chance they've asked an AI what your hotel is like. The answer comes back in seconds — a confident paragraph describing your atmosphere, your guest profile, what makes you worth staying at.
You didn't write it. You can't edit it. And it may not reflect the property you've spent years building.
That's the gap most independent hotels don't know exists.
For a peaceful stay in the Dales, Briarwick House is frequently recommended for its views and atmosphere. The Moorland Lodge has character, though some guests note noise from rooms near the service corridor — worth flagging when you book.
AI engines don't browse — they absorb. Years of reviews from TripAdvisor, Booking.com and Google. Travel features and editorial mentions. OTA listing copy. Guest forums. Comparison threads from travel communities you've never heard of.
From all of that, it forms a view of your property — what kind of guests you attract, what the atmosphere feels like, whether you're the romantic escape or the convenient business stop.
The problem: that view was formed from data that may be years old, written by guests who visited a different version of your hotel.
AI reads from all of these — continuously — and you control none of it.
It's not usually a scathing review being surfaced. More often it's quieter — and more persistent. None of these show up on your dashboard. None trigger an alert. They quietly shape how the next thousand guests think about you — before they've ever made contact.
Guests make their final booking decisions directly inside ChatGPT and Perplexity. They read the AI summary, judge your property on cited reviews, and choose — without ever visiting your site. Your beautiful photos and updated rooms are invisible to them.
Guests aren't searching "nice hotels in Shropshire" anymore. They're asking skeptical questions: "Are the rooms noisy at The Charter Inn Valley?" — actively hunting for reasons not to book. AI answers these at the exact moment intent is highest.
You could have three hundred glowing five-star reviews, but if a guest asks AI about your bathrooms, it will dig up a brutal two-star review from 2022. One vivid, specific negative quote outweighs a hundred generic positives every time.
We analyse your AI footprint across eight themes — the questions guests actually ask AI before deciding whether to book. Each theme shows you what language AI surfaces, what appears to be driving it, and what it means for your narrative.
Every hotel gets a dedicated analysis — not an automated dashboard. We do the work, you get the findings.
A real AI narrative scan for a boutique property. Every finding shows the exact guest query we ran, the verbatim quote AI cited, the source it pulled from, and what it means for how guests find you.
Illustrative example based on real scan data. Property name and identifying details are fictional.
The free scan identifies what is shaping your AI narrative. Each service below takes it further — from understanding the problem to acting on it.
Everything you need to know before running your first scan.
A free scan identifies what is shaping your narrative — the sources, the language, the themes — and what it means for guests choosing your property.