What Should Hotel Leaders Know About Google’s New AI Booking Capability? Insights from Natalie Kimball

For years, hotels have treated AI-powered distribution as something just over the horizon. Interesting? Certainly. Urgent? Maybe in the next budget cycle. 

On August 27, 2026, Google announced new AI Mode booking capabilities that allow travelers to discover hotels, compare options, review pricing information, and complete bookings through a conversational interface. While the functionality is currently being introduced in limited markets (the U.S.), the announcement has sparked broader discussion across the hospitality industry. 

Is this another booking feature, or does it signal a deeper shift in how travelers discover, select and book hotels? To explore the implications, we spoke with Natalie Kimball, VP Strategic Account Management, Americas & EMEA at Shiji Horizon Distribution, about what hotel leaders should be paying attention to. 

Editorial Team: Is this really a big deal? 

Natalie Kimball: 

Yes. But not because Google added one more shiny travel feature. 

The bigger story is that discovery, comparison and transaction are starting to collapse into one conversation. For years, travelers searched, clicked, compared, checked an OTA, checked brand.com, maybe opened three more tabs, and then finally booked. It was the booking funnel, but now, AI has the potential to compress that entire journey.  

That is why this matters. The real question is not “Did Google add a booking button?” The real question is who supplies the information, who earns the recommendation, and who owns the guest relationship when the booking happens. 

That is where hotels need to pay attention. Being visible in AI discovery is progress. Being bookable with accurate information and a strong direct path is strategy. 

Should hotels think of Google AI as another OTA? 

NK: 

Not exactly. At least not in the traditional sense. 

Google is controlling more of the shopping interface, but the hotel or booking partner still owns the actual reservation and service relationship. Put simply, Google owns more of the conversation. Someone else still owns the booking. 

For hotels, that “someone else” is the part that matters. If the booking path leads to the hotel, the brand keeps more control over the rate, the guest data, and the relationship. If it leads to an OTA, the hotel may win the recommendation but still lose the direct booking.  

And regardless of whether the booking comes through an OTA or directly through the hotel, the property still owns the guest experience. If AI surfaces inaccurate rates, outdated content, or incorrect property information, travelers are unlikely to hold Google or the AI agent responsible. They will arrive at the front desk expecting the hotel to explain the discrepancy. As AI becomes another source of hotel discovery and booking, the importance of accurate content, rates, and availability only increases because the hotel remains accountable long after the AI conversation ends. 

What does the launch partner list tell us? 

NK: 

It tells us AI booking is not starting as some beautiful, direct-only hotel dream. It is launching with major hotel brands and major OTAs, including Booking.com, Expedia, Hotels.com, Priceline, Trip.com, Hilton, Marriott, IHG, Choice Hotels, and Wyndham. 

That is important because OTAs walk into this environment with real advantages. They already have huge inventories, structured content, reviews, pricing, policies, booking flows, and customer service operations at scale.  

Hotels should not assume that being mentioned by AI means the direct channel automatically wins. Mentioned is not the same as selected. Selected is not the same as booked directly. Those are three separate commercial outcomes, and hotels need to understand the difference. 

Is AI visibility just the next version of SEO? 

NK: 

It is related, but it is not the same thing. SEO is often about ranking for a keyword. AI discovery is about whether a system can understand a traveler’s intent, compare options, and confidently recommend a property. That is a very different game. 

A traveler may not search for “hotel in Miami.” They may ask for an oceanfront hotel with a pool, great reviews, flexible cancellation, and a room that works for a family. That is not a keyword. That is intent. And over time, AI has another advantage: context.  AI agents may be able to understand more about a traveler’s preferences, behaviors, and past interactions than a traditional search engine ever could. Someone who owns an EV may be shown hotels with on-site charging. The recommendation is no longer based only on what a traveler is searching for at that moment, but potentially on what the AI understands about that traveler overall. 

For AI to recommend the right hotel, it needs facts: room attributes, amenities, policies, images, rates, inventory, and availability. “An unforgettable stay in the heart of everything” may sound lovely, but it does not help AI understand why your hotel is the right answer. You cannot AI your way into content you do not have. 

What is the biggest risk for hotels? 

NK: 

The bigger risk is showing up, being considered, and then still losing the booking at the point of conversion. 

Imagine AI recommends your property because it matches the guest’s needs. Great. That is a win. But if the guest then books through an OTA because that path is easier, clearer, or more accessible, the hotel did part of the work while someone else captured the transaction. 

This is why AI readiness cannot stop at being mentioned. Hotels need to ask what happens after the recommendation: which rates appear, which content is shown, which booking options are available, and who owns the guest relationship. The commercial outcome happens after the “wow, AI mentioned us” moment. 

How Can Hotel Leaders Prepare for Google AI Mode? 

NK: 

Start with the basics. It is not sexy, but it is what actually matters. 

• Review your hotel images and ensure they accurately represent the property. Check image file names, captions, alt text, tags, and metadata to make sure they clearly describe what is visible in each image. 

• Audit room descriptions. Make sure room attributes, bed types, views, sizes, and amenities are clearly documented.  

• Review your amenities list and ensure it is complete, structured, and consistent across your website, OTAs, Google Business Profile, and distribution partners.  

• Check whether your property’s most important selling points are stated in your content. If guests consistently praise your rooftop pool, EV charging, family-friendly facilities, those attributes should be easy for AI to identify.  

• Verify that rates and availability are accessible to AI and updated in real time across all distribution channels. 

• Test how your hotel appears for different traveler intents.  

• Review your direct booking experience. Is the booking process fast, simple, and mobile-friendly? 

Hotels do not need to panic or launch an AI task force because someone saw a dramatic conference slide. But they do need to make sure their first-party data, connectivity, and booking paths are strong enough for an AI-driven discovery environment. 

Could AI create a real direct-booking opportunity? 

NK: 

Yes. But hotels still have to compete. 

AI can help surface hotels based on very specific traveler needs, which could be powerful for properties with distinctive experiences, strong content, and clear value propositions. But the direct channel has to be ready at the moment of intent. 

If AI recommends your hotel but the easiest path to book is still through an intermediary, then AI has not solved the direct-booking challenge. It has simply moved the competition to a new interface. Hotels still have to compete. 

What would you tell a GM to ask in the next commercial meeting? 

NK: 

• When AI describes our hotel, is the information accurate?  

If not, review your website, OTA listings, images, and property content to ensure the information is complete, accurate, and consistent. 

• Are we appearing for the traveler intents we want to win?  

Test searches related to your property’s key strengths and target audiences, then update content and metadata where gaps exist. 

• Can AI access current rates and availability?  

Work with your distribution and revenue teams to ensure rates and inventory are accurate and synchronized across channels. 

• When our property is recommended, which booking options appear?

Review the booking paths available to travelers and ensure the direct booking experience is fast, simple, and competitive. 

• Can we measure whether AI-influenced demand converts directly or through an intermediary?  

Establish reporting that helps you understand where bookings are ultimately being captured. 

If nobody owns these questions, that is probably the first issue to solve. 

Key Takeaway 

Google’s AI Mode announcement is not just another travel product update. It signals a deeper shift in hotel distribution: AI is becoming part of the discovery, comparison, and booking journey. 

For hotel leaders, the priority is no longer only to be visible in search. Hotels now need to make sure AI can find accurate first-party information, understand the property, trust the data, and connect travelers to a booking path that supports the hotel’s commercial strategy. This is where Horizon Distribution’s role becomes relevant: helping hotels connect reliable rates, availability, inventory, and content so hotels can be better prepared for an AI-driven distribution environment.