AI Is Rewriting the Rules for Travel Distribution

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Travel companies have historically treated marketing and distribution as separate functions. One builds awareness and drives demand, while the other converts intent into revenue.

In this model, distribution traditionally begins after intent is formed. Travelers have already chosen a destination by the time they reach a booking engine. They’re comparing prices, scanning reviews, and checking availability. Inventory flows through established distribution channels, and bookings follow.

AI is now beginning to disrupt that sequence, blurring the line between marketing and distribution and pulling distribution earlier into the decision-making process.

Demand Is Moving Upstream

According to a recent study of 1,029 U.S. travelers by the Cornell Center for Hospitality Research, in partnership with Curacity, the earliest stages of travel planning, including inspiration and discovery, comparison, and itinerary building, are increasingly taking place within AI-powered tools.

Generative AI platforms are not yet replacing the transaction layer, but they’re influencing the shortlist, often narrowing it to a few recommendations, and that role could expand as these platforms evolve. They’re shaping which brands make it into consideration before a traveler ever reaches an OTA or metasearch site, with 94% of hotels effectively invisible in AI search results. 

“Marketing has always created demand, even if distribution channels such as OTAs, metasearch, or brand.com capture the conversion,” said Nick Slavin, CEO and co-founder of Curacity. “The difference is that travelers once had many paths to get there. They browsed Google, clicked ads, and searched social media. Now, a growing number of travelers are having conversational searches with a single LLM that shapes their entire consideration set.”

If AI platforms determine the initial set of options, then distribution no longer starts at checkout, but at the recommendation stage. And if brands are filtered out upstream, traditional channels may never get the opportunity to convert them. The longstanding sequence of marketing first and distribution later begins to break down when the technology shaping intent sits outside both.

“Travelers are still following the classic dreaming, planning, booking journey,” Slavin said. “However, the moment of inspiration has collapsed into whether your hotel appears in the authoritative sources LLMs use to generate recommendations, and whether those sources are structured for LLM legibility.”

The Blind Spot in Travel Distribution

Much of the industry still operates with a downstream view of distribution. Investment remains focused on channels that capture existing demand rather than those that create it. Performance marketing, retargeting, and OTA optimization dominate because they deliver measurable returns.

However, those channels come into the picture late in the journey. The moment that influences a traveler’s decision often happens well before the booking itself. According to Slavin, there’s an average 47-day gap between when a traveler engages with content and when they check in, based on over 159,000 stays analyzed by Curacity over the past year. 

That gap highlights how far upstream influence actually sits relative to how performance is measured, creating a disconnect between how hotels track success and how travelers make decisions.

“Credit for the booking, unfortunately, still goes to the channels closest to the booking, like branded search, retargeting, and OTAs,” Slavin said. “But few travelers say ads led to discovery or actually influenced their decision, while 81% trust media outlets. The perennial issue is underinvestment in demand creation and overreliance on demand capture.”

The original influence is no longer visible by the time the booking happens. What gets measured is the final click, even as decisions are shaped much earlier in the journey.

“If hotels don’t appear across authoritative digital surfaces, they don’t appear in AI search,” Slavin said. “If they don’t appear in AI search, they risk exclusion from a traveler’s consideration set altogether. And if they’re not in the consideration set, there’s no demand for traditional distribution channels to capture.”

Rethinking Distribution for an AI-Led Journey

Curacity is betting on a different definition of distribution with the launch of its new platform, Curacity VISTA, an infrastructure layer that places brands within the editorial ecosystems that influence travelers.

The platform builds on Curacity’s earlier model of distributing hotels through publisher newsletters and linking that visibility to measurable bookings. That product, now called VISTA Core, remains at the core of the business, but the company is now extending that logic to a broader set of environments.

A major part of that expansion involves editorial content. Through VISTA AI, hotels on the platform can surface in articles across Curacity’s network of over 60 media partners that increasingly inform traveler research and the outputs of AI systems.

The goal is to increase the likelihood that properties are included in the editorial environments that inform both human decision-making and AI outputs. Unlike traditional PR or advertising, which tend to rely on pitching or buying placements, the model uses Curacity’s data framework and billions of data points to systematically guide the creation and distribution of content at scale, with an eye toward downstream revenue impact.

A third layer, VISTA Intelligence, focuses on measurement. It aggregates data from newsletters and articles to show how often and where a brand appears and how that presence compares with competitors across different content formats. The goal is to bring structure to a part of the funnel that has traditionally been difficult to quantify.

“Curacity VISTA doesn’t fit into any one traditional bucket,” Slavin said. “It’s a distribution infrastructure that sits across PR, advertising, performance marketing, revenue, and distribution, connecting them so they work together rather than in silos.”

Credibility as Infrastructure

The Cornell research highlights another dimension of this shift: trust. 

Over 60% of respondents cited concerns about the accuracy of AI-generated results, and over 40% pointed to a lack of transparency or overly generic outputs. Travelers are clearly willing to use AI, but they remain cautious about trusting it. Accuracy concerns and generic responses limit adoption, which places pressure on the sources that feed those systems.

“Because travelers question the content’s accuracy and transparency, brands must focus on making their content legible in the sources AI systems ingest, such as trusted media outlets,” Slavin said.

That means paying attention not only to what’s said about a property, but where and how it appears. Rather than optimizing for AI outputs directly, brands are increasingly pushed to optimize for the sources those systems rely on.

“Brands need to ensure their information is consistently published with clear facts and strong third-party validation in editorial environments,” Slavin said. “That increases the likelihood that AI systems will surface it and users will recognize it as credible when they encounter it.”

According to Slavin, credibility is built upstream, through the network of sources that inform AI. Media, which has long been treated as a marketing channel, begins to take on a different role. It becomes part of the infrastructure that shapes how travelers and machines interpret a destination or hotel.

The Next Phase of Distribution

In a market where travelers face an abundance of options and increasingly rely on systems to filter them, the ability to shape that filtering process becomes central.  

“After decades of a siloed approach between marketing and revenue, we’re moving toward a more unified approach: commercial,” Slavin said. “Those boundaries are collapsing into a single surface.”

Whether that “single surface” ultimately concentrates power within a handful of platforms or redistributes it across media and AI systems remains an open question, but the direction is clear. Distribution can’t just focus on placing inventory in front of existing demand. It must also account for how that demand is created.

Part of that change involves rethinking exactly what’s being distributed. For years, the focus has been on rooms, rates, and availability. However, as discovery moves upstream, the emphasis shifts toward something less tangible: how a hotel is described, where it appears, and whether it enters the traveler’s consideration at all.

“With Curacity VISTA, brands have the opportunity to appear at the exact moment of inspiration,” Slavin said. “They get analytics on how often they’re being mentioned, how often they’re cited, and how they compare to others. Appearing in authoritative media isn’t optional if you want to appear to the customer at all.”

That may mean thinking less about channels as discrete endpoints and more about how they connect. Media, AI systems, search platforms, and booking engines now form a chain of influence that starts earlier than the industry has typically accounted for.

Distribution, in that sense, is no longer limited to moving room inventory. It increasingly includes shaping how a hotel’s story, context, and positioning are represented — and whether the hotel appears at all — into the environments where decisions begin. In a landscape where algorithms filter visibility, being present early may matter for brands as much as being competitive at the point of booking.

To book a demo with Curacity, visit curacity.com

This content was created collaboratively by Curacity and Skift’s branded content studio, SkiftX.