Artificial intelligence is reshaping how travelers discover and book hotels, forcing properties worldwide to rethink their digital presence and metadata strategies. A new Skift webinar brings together industry leaders to examine this transformation, revealing critical gaps between how hotels present themselves online and how AI systems interpret and recommend them.
The shift reflects a broader travel industry trend. Travelers increasingly rely on AI-powered tools like ChatGPT, Claude, and proprietary hotel search algorithms to narrow choices before clicking through to booking sites. These systems don't browse the internet like humans do. They work from training data, property databases, and uploaded information that may be incomplete, outdated, or poorly structured. A hotel missing accurate amenity tags, pricing data, or recent renovations could disappear from AI recommendations entirely, even if it matches a traveler's exact needs.
Hotels face a new gatekeeping reality. Getting chosen by AI requires obsessive attention to data accuracy. Property names, room types, amenities, accessibility features, pet policies, cancellation terms, and high-quality images must be standardized across every distribution channel. Hotels that rely on outdated information in Global Distribution Systems (GDS) like Sabre or Amadeus, or that haven't claimed and optimized their Google Hotel Ads presence, risk algorithmic invisibility.
The webinar addresses several specific pain points. First, travelers trust AI recommendations more than they might expect. Studies show consumers increasingly ask AI chatbots for hotel suggestions before visiting OTA platforms like Booking.com, Expedia, or Hotels.com. This trust is fragile. Inaccurate recommendations erode it quickly. Second, hotels struggle with fragmented data. A property might update room photos on its website but forget to refresh them on Booking.com, leading AI systems to recommend it based on stale imagery. Third, smaller independent hotels and boutique properties often lack the resources for sophisticated data management, putting them at a disadvantage against branded chains with centralized systems.
What hotels can do now: Start with a data audit. Review property information across all booking channels and ensure consistency. Claim and fully optimize your presence on Google Business Profile, which feeds into Google's AI-powered travel tools. Structure amenity data using standardized schemas that search engines and AI systems can easily parse. Invest in professional photography updated regularly. Build relationships with travel data partners who aggregate and clean property information for distribution to AI systems.
The broader implication is clear. The era of passive hotel listing is ending. Properties that treat their digital presence as a living, constantly-updated asset will win bookings from AI-driven discovery. Those that ignore it will find themselves deprioritized by algorithms that increasingly control which hotels appear in travelers' consideration sets.