Why does ChatGPT describe my hotel wrong?
The four places the wrong story comes from
An inaccurate AI description is a supply-chain problem: somewhere upstream, a source the engines trust is feeding them stale or wrong information. Work through the suspects in this order:
Your own website is out of date
The engines read your site first — and take it at its word. If it still describes the pre-refurbishment rooms, a restaurant that closed, or a positioning you've moved on from, you are personally teaching the engines the wrong story. This is the most common cause and the fastest to fix.
OTA listings disagree with you
Booking.com and Expedia are integrated into ChatGPT's ecosystem, and their listings are cross-checked as verification sources. If their copy was written years ago by someone else, the engines are reading a second, competing version of your hotel — and when it's more complete than yours, it wins.
Stale third-party content still ranks
An old blog feature, an out-of-date guide entry, a press mention from a previous era of the hotel — third-party content carries weight precisely because you didn't write it. When it's stale, that borrowed credibility works against you.
Your reviews describe a hotel you've moved on from
Engines read review language as evidence. If the most substantial reviews date from before your renovation — or repeat a complaint you fixed last year — that's the character the engines learn. Silence since then leaves the old story standing.
How The GEO Agency fixes it — and keeps it fixed
AI answers change week to week, which is why a one-off audit decays the moment it ships. GEO for Travel tracks what the engines actually say about your hotel, continuously, and hands your team the plan:
- Tracked live, weeklyYour hotel checked across ChatGPT, Gemini, Claude and Perplexity against ~50 real buyer questions for your market.
- Every competitor namedEvery rival the engines recommend instead of you — named, counted, uncapped.
- A brief on every gapEach missing answer becomes a content brief with a paste-ready prompt your team can ship the same day.
- Human-checked, alwaysEvery report reviewed and signed off by a human before it reaches you — on every plan, from £495/month.
The questions that come next
How do I find out exactly what ChatGPT believes about my hotel?
Open a fresh incognito window and ask the engine about your property directly — then ask the questions your guests would ask. Note the exact wording it uses: that language usually reveals which source it learned the story from. Our guide to checking what AI says about your hotel covers the full method.
Can I contact OpenAI to correct my hotel's description?
There's no correction channel for what the engines say in recommendations — no form, no support line that edits answers. The reliable fix is upstream: correct the sources the engines read, and the description follows.
How long until the description updates?
Answers move on a lag. Once the sources are fixed, expect movement over weeks rather than days, with the full correction bedding in over a few months — which is why checking on a schedule matters more than checking once.
What if the engine is mixing me up with another property?
Entity confusion — usually similar names or shared addresses — is a verification problem. Strengthen what makes you unambiguous: consistent name and address everywhere, schema markup on your site, and listings that all point back to the same details.
From the Founder
“Everyone is selling tools. No one has the tool and thirty years of global brand expertise to deploy it. That’s the gap we built for.”
Thirty years inside global brands, watching every digital shift up close. This is the biggest one yet: AI decides the booking before your website loads. That needs someone who’s been in the room, not just a dashboard.
Ayse Durmush, Founder · The GEO Agency
Trusted by these global brands
Find out exactly why your hotel is missing
Book a demo — we'll show you the Signal™ dashboard and what the five engines actually say about your property and your competitors.
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