Bridging the AI Trust Gap: From Tool to Booking Partner

Hotel Discovery Is Moving Upstream

The hotel booking journey is evolving, with AI playing a larger role in how travelers discover and evaluate their options.

As we've discussed in previous reports, AI has become essential for hotel discovery. Travelers are now using tools like ChatGPT and other AI assistants to compare properties, summarize reviews, evaluate amenities, and narrow a crowded field into a shortlist before booking their next getaway.

According to Phocuswright, 56% of U.S. leisure travelers report using AI for travel.^[1]

Instead of opening multiple tabs and manually comparing properties, travelers can ask an AI assistant to organize options, surface relevant details, and reduce hours of research to a few prompts. As more answers are delivered directly within AI interfaces, rankings and click-through rates offer a less complete picture of whether a hotel is visible during consideration.

That convenience creates an urgent concern for hotel brands: bookings can now be won or lost before a traveler ever reaches the brand's website. And if AI cannot find, understand, or confidently recommend your property, how can you compete for that booking?

AI Can Plan the Trip, but Trust Still Closes the Booking

Being recommended opens the door to a reservation, but it does not guarantee one. Travelers are becoming more comfortable using AI to research destinations and compare properties. That confidence drops sharply when AI moves from planning to purchasing.

Expedia Group found that 66% of travelers would not trust an AI assistant to buy or book anything on their behalf.^[2] Travelers' concerns include loss of control, data and payment privacy, and uncertainty about customer support if something goes wrong.

"Travelers don't have a technology problem with AI. They have a trust problem," says Xavi Amatriain, Chief AI and Data Officer at Expedia Group.^[2]

This creates a co-planning model. AI reduces the work of researching and comparing options, while the traveler retains control of the final decision and transaction.

HUMAN Security found that 42.6% of surveyed Americans would be comfortable allowing AI to book travel if it requested final approval before payment. Only 11.7% were comfortable letting it book automatically without asking again.^[3]

AI may do the homework, but customers still want the final say. For hotel brands, the opportunity is to make their website or app the clearest, most secure next step after an AI recommendation.

Becoming Recommendable Requires More Than SEO

That path begins with making the property easy for AI to understand. Traditional SEO helps a hotel appear in search results. Generative Engine Optimization (GEO) and Answer Engine Optimization (AEO) help it become part of the answer an AI assistant provides.

Generative Engine Optimization (GEO): Improves how accurately and frequently a hotel appears in AI-generated summaries, comparisons, and recommendations.

Answer Engine Optimization (AEO): Structures content so AI assistants and search tools can extract clear, direct answers to traveler questions.

Hotels need clear, structured information that AI systems can interpret. Schema.org markup adds structured, machine-readable labels to hotel content so search engines and AI systems can distinguish one type of information from another. It helps clarify that a line of text is a room amenity, cancellation policy, parking detail, accessibility feature, dining option, or frequently asked question, making the property easier to interpret and surface accurately in AI-generated responses.^[4]

But owned content is only part of the picture.

AI tools also draw from Google Business Profiles, review platforms, OTAs, travel publications, and local tourism sites. BeyondBooking estimates that approximately 85% of brand mentions in AI search originate from third-party pages rather than the brand's own website.^[5]

AI is more likely to rely on a hotel's claims when independent sources tell the same story. For example, if a property website lists free parking and pet-friendly rooms, but Google, an OTA, and recent guest reviews say otherwise, the conflicting information can make the hotel harder to interpret and recommend accurately. Outdated amenities, inconsistent policies, and stale reviews can all weaken that credibility.

Hotels should maintain a steady flow of recent, authentic reviews that mention qualities travelers value, such as quiet rooms, accessibility, workspace quality, family amenities, or proximity to attractions.

The goal is not simply to publish more content. It is to ensure the same accurate story appears everywhere AI may look.

The Direct Channel Must Complete the Handoff

IHG offers a useful model. Its ChatGPT experience lets travelers search and compare more than 7,000 hotels using natural language, with real-time availability, pricing, maps, and amenities. Once a property is selected, the traveler is guided to IHG's direct booking channels.^[6]

The emerging journey is straightforward: Ask. Compare. Validate. Handoff. Book.

From Recommendation to Reservation

AI is changing how travelers discover and compare hotels, but most still want to complete the booking with a trusted travel brand. For hotels, the priority is to make that transition from AI-assisted discovery to direct booking as clear, consistent, smooth, and secure as possible.

Once AI has helped a traveler choose a property, the direct channel must preserve that momentum through a clear, consistent booking experience.

What a Trusted Handoff Requires

The direct channel should deliver:

• Accurate rates and availability
• Clear fees and cancellation terms
• Secure payment and final approval
• Loyalty benefits and booking support

Behind the scenes, invisible automation—technology that handles routine booking and payment tasks without adding friction for the traveler—can simplify payment links, deposits, confirmations, reconciliation, follow-up, and human escalation.

The same principle can strengthen service after booking. In a Canary Technologies case study, an Orlando Holiday Inn automated 82% of guest communications by introducing AI-powered guest messaging, reducing repetitive questions, and allowing staff to provide more proactive service.^[7]

The opportunity is not to replace the booking engine with AI. It is to create a trusted handoff from AI-assisted discovery to a direct experience the traveler feels comfortable completing.

Key Actions

• Build AI visibility: Structure property details, policies, amenities, and FAQs so search engines and AI assistants can understand and recommend the hotel accurately.
• Strengthen external trust signals: Keep listings, reviews, and third-party references consistent and current across the platforms travelers and AI tools rely on.
• Improve the direct handoff: Connect AI-assisted discovery to a secure, clear booking experience with accurate rates, simple payment, and access to human support.