ChatGPT Hotel Searches Expose Visibility Gap for Independents

A new Lighthouse study shows that many hotels are still missing from AI travel recommendations, creating a new visibility problem for the hospitality industry.
Lighthouse tested 4,545 ChatGPT prompts across nine destinations and five traveler profiles, including luxury, business, family, budget, and general travel. ChatGPT mentioned hotels nearly 50,000 times, but those mentions were concentrated among a much smaller group of properties.
AI tools are starting to influence how travelers choose hotels. Instead of scrolling through many search results, a traveler may ask an AI assistant for a few hotel suggestions. If a hotel is not included in that answer, it may lose the guest before the booking journey even starts.
Hotel discovery is moving into AI conversations
Hotel distribution has changed many times before. Search engines made SEO important. OTAs gave hotels access to large audiences but added commission costs. Metasearch made it easier for travelers to compare prices across different booking channels.
AI search adds a new layer. It does not only show links. It reads the traveler’s request, understands the intent, and gives a shorter list of hotel options. That makes AI recommendations more powerful than a normal search page.
Many hotels are still hard for AI to find
Lighthouse found that AI hotel visibility is highly concentrated. Some hotels appeared many times, while many others did not appear at all.
In Tokyo, ChatGPT surfaced about 10 percent of hotels in the market. In Paris, it surfaced about 13 percent. Even in Park City, a smaller hotel market, most hotels were not mentioned across the tested prompts.
This creates a risk for hotels that sit outside the most visible group. A property may have good reviews, a strong location, and fair prices, but still fail to appear in an AI answer.
Big brands and upscale hotels are winning early visibility
The study suggests that chain hotels and luxury properties are receiving more AI attention than many independent or midscale hotels.
In the US, Marriott received more than a quarter of branded hotel mentions in the Lighthouse study. Hilton followed, while the top three brand groups accounted for more than half of branded mentions. The pattern was more balanced in Europe and Tokyo, but large brands still had an advantage.
Star rating also played a role. Four- and five-star hotels appeared often, even when travelers did not ask for luxury stays. This creates a challenge for midscale hotels, which may be a good fit for business, family, or value-focused trips but receive fewer AI mentions.
Clearer content can improve AI visibility
For hotels, the practical lesson is simple: online content now affects how AI tools understand a property.
AI systems can use information from hotel websites, OTA listings, metasearch profiles, reviews, and editorial articles. If that information is thin, outdated, or inconsistent, the hotel may be harder to recommend.
Hotels should describe their positioning clearly. A business hotel should mention meeting space, work areas, transport links, and nearby office districts. A family hotel should explain room types, child-friendly services, nearby attractions, and practical amenities. A value-focused hotel should make its location, price advantages, and included services easy to understand.
This is especially important for independent hotels. They may not have the same brand recognition as global chains, but they can improve their digital signals with clearer, more complete, and more consistent content.
AI visibility could support direct bookings
AI search could also help hotels drive more direct bookings. If an AI assistant recommends a hotel and sends the traveler to the property’s own website, the hotel may avoid an OTA commission and keep more control over the guest relationship.
But this only works if the hotel appears in AI results first. It also needs a website that can convert the visitor. Rates should be clear, room descriptions should be useful, and the booking process should be simple on mobile.
This shift also connects with a broader change in travel search. OpenAI has started opening ChatGPT to travel brands, allowing users to search flight options, compare hotel prices, explore packages, and receive recommendations inside one conversation. For hotels, this means AI visibility is becoming part of how travelers discover, compare, and eventually book travel.
Photo by Emiliano Vittoriosi on Unsplash
Hot News
EU Keeps Delay Compensation as Airlines Face Another Cost Reality

Folio Adds Expense Tool as Hotels Hunt for Cleaner Spending Control

Europe Leads US Tourism Drop as World Cup Boost Looks Too Small

RealTime Reservation Buys STAY to Fix Hotel Tech Fragmentation
