A traveler asks their favorite AI tool for destination recommendations based on their preferences and budget. The system returns a short list of destinations. The traveler selects one and asks where to stay in that city. The system returns a short list of hotels. The traveler asks a follow-up question about hotels with rooftop bars. Two or three properties remain visible. The rest of the hotels in the destination? They don’t appear at any point in the exchange.
The properties that appear in AI search results depend on what the large language model (LLM) can retrieve. LLMs generate responses by drawing from authoritative content. In travel, that content often comes from destination guides, hotel reviews, and roundups written by media outlets like Afar, Condé Nast Traveler, and Travel + Leisure. LLMs index, learn from, and use these articles when a traveler asks where to stay. The hotels named in those articles are the ones more likely to surface in AI-generated answers.
For eleven years, Curacity has worked with these media outlets. The platform distributes hotels into newsletters that each media outlet sends to its opt-in subscribers. Each engagement creates a record that Curacity can match to downstream bookings and revenue through data connections and integrations between the hotel’s PMS and the media outlet’s ESP. This model was the first to systematize distribution within trusted editorial environments and tie it to revenue.
With the launch of Curacity VISTA, we’re extending hotel distribution into the editorial articles that LLMs use to generate travel recommendations. As AI systems shape which hotels appear during dreaming and planning, inclusion in these articles plays a significant role in determining not only if a property is visible in AI search, but also whether it enters the traveler’s consideration set in the first place.
The shift begins with the source material. LLMs pull from published material that has already earned authority, relevance, and visibility online. In travel, that often means service journalism from established media outlets. When those articles mention a property, it becomes part of the record that an LLM can retrieve. Hotels absent from those environments are less likely to appear when travelers use AI search to decide where to go and where to stay.
The next change happens in the interface. A traveler no longer needs to browse dozens of websites to research and compare options. They ask an LLM one question, then another, narrowing the field through follow-ups. Each response carries forward a smaller, more curated set of brands. The sources the model has chosen to surface ultimately shape that set. Hotels that appear stay in the consideration set; those that don’t appear might never enter it.
Inclusion in these sources also determines whether a hotel persists across the customer journey. When a media outlet features a hotel, travelers can find the article on Google, social media, or in the outlet’s newsletter. The ability for these articles to inform AI-generated recommendations means the hotel continues to surface again and again throughout the travel planning process, where repeated exposure increases the likelihood of winning the booking.
The set of hotels a traveler sees is shaped by AI search long before a booking decision begins. LLMs form that set using content they can retrieve and reuse. Curacity VISTA places hotels in the most authoritative editorial environments, maximizing visibility across articles and newsletters, and expanding measurability from impact on AI visibility scores (articles) to measurable bookings and revenue (newsletters). Inclusion determines whether a property continues to surface as planning unfolds; exclusion means the hotel may never be part of the conversation.
Don’t risk losing a large share of bookings to competitors and intermediaries. Schedule a demo to learn how Curacity VISTA keeps you discoverable and bookable as AI continues to reshape travel planning.
