In Brief: Adam Swart discusses the adoption of ChatGPT in the hotel industry to facilitate customer discovery and interaction, explaining its implications and potential benefits.
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ChatGPT is the new Front Door for Hotel Discovery. Here’s What That Actually Means – Image Credit Unsplash
The AI conversation in hospitality has become filled with a whole lot of noise.
“AI will transform guest experience”. “AI will revolutionize revenue management.”“AI will change everything.”
You’ve heard all the pitches. You’ve sat through all the webinars. You’ve had your fill of yet another thought leadership piece.
Most of these conversations are missing the point. AI already changed something real. Not on a roadmap, but right now, in the way travelers find and book hotels.
But first, let me take you back twenty years to explain why that matters.
The moment most hoteliers wish they’d paid attention
In 2003, Google wasn’t a strategy. It was a website where tech people looked things up.
Then it became how every traveler in the world found hotels.
The hotels that figured out SEO early held their positions for years. Not because they were the best hotels. Because they moved first and the algorithm learned to trust them. The ones that waited on the sidelines found themselves paying OTAs to reach guests who would have booked direct if they’d had the chance.
Twenty years later, many still are.
That story is repeating itself, but exponentially faster.
What’s actually happening in ChatGPT
Travelers are using ChatGPT to find hotels. Not as a novelty, but as a first option.
ChatGPT has 900 million users, a platform 133 times larger than the iPhone App Store at launch in 2008. AI-driven travel search is already growing 50% faster than traditional search. Two thirds of travelers have used AI in some part of trip planning (Booking.com, 2025). 1 in 3 are using it to actually book (Adyen, 2025).
But here’s the part most people gloss over. When a traveler searches Google, they get a list of links. They do the filtering, and the hotelier still has a say in what a potential guest sees. When a traveler asks an AI for a hotel recommendation, the AI decides for them. There is no page two. There are no maps. There is just a recommendation that reads like advice from someone who knows what they’re talking about (someone they trust).
The question is whether your hotel is the one being recommended.
Right now, for most hotels, it simply isn’t. Booking.com and Expedia were live in the ChatGPT App Directory on day one. Their inventory has been in those conversations from the start. They didn’t wait to see how things developed, they moved first.
If your hotel doesn’t have a direct presence, AI will represent you however it can. Scraped from OTA listings you didn’t write. Assembled from sources you can’t update. Filtered through a platform with no interest in telling your story well.
You’ve been here before.
What changed on March 4, 2026
On March 4, Lighthouse launched The Hotels Network app, the first direct booking app for hotels inside ChatGPT. It’s live in the ChatGPT App Directory right now. Open ChatGPT, go to Apps, search “hotel.” It’s the first result.
Here’s how it works. A traveler asks ChatGPT for hotel recommendations. The Hotels Network app pulls your actual content into that conversation: your descriptions, your photography, your live rates, your brand story. It surfaces your property with a direct path to your own booking engine. One tap and they’re on your website completing the reservation.
No commission. No redirect through someone else’s platform. No intermediary between a guest who wants to stay with you and the moment they decide to book.
The appetite for this is real. Expedia found that 40% of travelers would use AI to find the right hotel. Simon-Kucher surveyed more than 10,000 travelers across ten global markets and found that 62% prefer to book direct when given the option.
The missing piece was a direct path to make that happen. That’s what changed on March 4.
The thing most AI conversations in hospitality get wrong
Here’s a number worth sitting with. Adyen found that 44% of hospitality businesses already expect AI search to reshape the industry. Yet most are still watching and waiting from the sideline.
Awareness without action is just anxiety.
Most of what gets written about AI treats it as something happening to hotels. An external force to prepare for, adapt to, eventually respond to. That framing keeps you in a reactive posture on a channel that rewards whoever shows up first.
AI discovery isn’t a threat to manage, it’s a channel to build growth.
The hotels that do well here aren’t the ones that scramble to catch up after the channel matures. They’re the ones establishing their content now, while the patterns are still forming. The AI learns from what it finds. A property with rich, accurate, current content that’s been in the channel for a year will be treated very differently than one the AI encounters for the first time after everyone else has already settled in.
That’s how Google worked. It’s how social media worked. It’s how every new discovery channel has worked since hotels started competing for attention online.
What getting started actually involves
No changes to your website. No new integration with your property management system. No developer.
Connect Anchor, Lighthouse’s AI data hub, organizes your hotel’s content into a single source that feeds The Hotels Network app and updates automatically as the channel grows beyond ChatGPT to Claude, Gemini and Perplexity.
One thing worth saying honestly: content matters. The technology makes the connection. What you put into it determines how you show up. Current room descriptions, specific details about what makes your property worth staying in, photography that reflects the hotel as it exists today. It’s the same work that drives direct booking conversion everywhere else. In AI, it just has higher stakes because it determines whether you appear at all.
The window
The funnel hasn’t disappeared, it’s just shifted. It begins inside a conversation now, not a search bar. The filtering travelers once did across multiple tabs is being done for them. Hotels that have established themselves as properties AI can accurately find and describe are showing up in those conversations. Those that haven’t are absent from a journey they don’t even know is happening.
We think you have about a 12 to 18 month window to really own this channel. After that, someone else will have set the standard.
The OTAs are already through the door. The question is whether you’re right behind them, or reading about it later wondering how it happened again.
Learn more and request a demo at mylighthouse.com/connect-ai
Sources: Adyen Hospitality & Travel Report 2025; Booking.com Global AI Sentiment Report 2025; Expedia Group Unpack ’24; Simon-Kucher 2026 Travel Trends Study; Lighthouse
Adam Swart
Adam is Head of Brand and Content at Lighthouse. Connect with Adam on LinkedIn.
About Lighthouse
Lighthouse (formerly OTA Insight) is the leading commercial platform for the travel & hospitality industry. We transform complexity into confidence by providing actionable market insights, business intelligence, and pricing tools that maximize revenue growth. We continually innovate to deliver the best platform for hospitality professionals to price more effectively, measure performance more efficiently, and understand the market in new ways.
Trusted by over 65,000 hotels in 185 countries, Lighthouse is the only solution that provides real-time hotel and short-term rental data in a single platform. We strive to deliver the best possible experience with unmatched customer service. We consider our clients as true partners – their success is our success.
Source: View the original article at Lighthouse.
