Agentic AI: The End of OTA Search Dominance?

The travel industry stands on the brink of a profound transformation, driven by the emergence of agentic artificial intelligence. Major online travel agencies like Expedia, Booking.com, and Trip.com now face a challenge comparable to the initial disruption caused by Google search. These AI assistants are fundamentally changing how travelers plan and book trips, handling everything from research to reservation without requiring direct visits to OTA websites. This evolution threatens to diminish the visibility, customer loyalty, and search dominance that OTAs have carefully built over decades.

A recent experiment using ChatGPT’s Agent Mode to reserve a Paris hotel demonstrated this shift in action. The AI managed the complete booking process within its own interface, searching Expedia’s inventory, comparing options, making a recommendation, and finalizing the reservation, all without any need to visit Expedia’s platform directly. While the booking confirmation originated from Expedia, the entire user experience was orchestrated by ChatGPT. This scenario illustrates a fundamental transfer of control: instead of users navigating multiple websites, AI agents now act on their behalf, executing tasks autonomously.

This creates a significant dilemma for OTAs, whose business models rely heavily on owning the customer journey. These platforms traditionally encouraged users to compare hotel options, enroll in loyalty programs, read reviews, and add supplementary services like car rentals or tours. Each interaction provided valuable behavioral data that fueled recommendation algorithms and strengthened their positions in organic search results. Agentic AI removes much of this engagement. When systems like ChatGPT or Google Gemini manage the process, travelers no longer browse numerous listings or interact with OTA features. They simply review a curated selection of AI-chosen options and confirm their booking.

This engagement decline extends beyond user experience concerns to impact search performance metrics. If AI-driven bookings result in reduced time-on-site, fewer clicks, and diminished repeat traffic, Google’s ranking systems may interpret these signals as declining relevance. Features like NavBoost, which rely heavily on user interaction data to refine search positions, could particularly affect OTA visibility. As more travelers rely on AI assistants to complete bookings without clicking through to OTA sites, these platforms risk gradual erosion of their hard-won search dominance.

Loyalty programs represent another vulnerable area for traditional travel agencies. Programs like Expedia Rewards, Booking Genius, and Trip.com’s loyalty tiers have historically driven repeat business and direct traffic by fostering habit and familiarity. However, when AI intermediates the booking journey, loyalty may shift from brand-based to assistant-based. Travelers could develop stronger allegiance to the AI system that understands their preferences than to any particular OTA brand. The solution lies in strategic data integration. OTAs that successfully connect their loyalty systems with AI ecosystems, enabling access to user preferences, reward points, and personalized offers, will maintain relevance. Those maintaining closed systems risk having their loyalty programs bypassed entirely by the AI layer managing transactions.

The very nature of travel search is undergoing reinvention. Where search engines once presented lists of blue links, generative AI systems now interpret complex goals expressed in natural language. A query like “plan me a long weekend in Paris with a boutique hotel near the river” triggers a comprehensive planning process covering flights, accommodations, and activities. This agentic search combines multiple data formats, text, voice, images, maps, into a conversational, decision-focused experience. For OTAs, this means competing not for position on search engine results pages but for inclusion in AI agents’ recommendation sets. Visibility becomes defined by presence in the conversation rather than placement on a page.

Leading OTAs aren’t standing still against these developments. Expedia has developed AI integrations with ChatGPT while enhancing its personalized tools. Booking.com’s Kayak.ai is experimenting with conversational search and deeper customization. These initiatives aim to maintain brand presence as users transition from traditional browsing to dialogue-driven discovery. Yet competition intensifies as OpenAI’s Atlas browser, Perplexity’s Pro Search, and Google’s Gemini ecosystem develop increasingly sophisticated travel capabilities. These platforms don’t need to become travel agencies themselves, they simply need to control the interface where users make decisions.

Adapting successfully requires OTAs to treat agentic AI as a new distribution channel rather than a threat. This demands three strategic adjustments. First, AI-ready data infrastructure becomes essential, with structured inventory data, comprehensive schema markup, and robust APIs enabling AI systems to accurately interpret and recommend OTA offerings. Second, new attribution models must track journeys that begin and end within AI interfaces, where traditional analytics tools prove inadequate. Finally, partnership-driven personalization allows loyalty and recommendation engines to enhance rather than compete with AI systems, creating connected loyalty graphs that function across ecosystems.

The coming twenty-four months will likely determine the scale of this transformation. Widespread adoption of agentic interfaces could reposition OTAs as background infrastructure rather than consumer-facing destinations. Brand visibility might fade, advertising revenue could contract, and search performance may deteriorate alongside engagement metrics. However, significant opportunity exists for those leveraging their vast traveler behavior datasets, pricing intelligence, and conversion insights. OTAs that harness this data to train proprietary AI models or power collaborative ecosystems could reclaim relevance in the new landscape.

The definition of “direct booking” itself is evolving. For years, this term meant bypassing intermediaries to book directly with hotels or airlines. In the age of agentic AI, the question becomes: direct to whom? When an AI assistant handles your travel arrangements, the relationship belongs to whichever system understands your preferences most completely. OTAs must now compete not merely on price and inventory but on intelligence, data quality, and integration capabilities. Organizations adapting swiftly will maintain visibility in the AI era, while others risk becoming invisible fulfillment pipelines, efficient yet strategically marginalized.

![Image: A person using a smartphone with AI assistant interface visible]

![Image: Comparison showing traditional OTA booking flow versus AI-agent managed booking process]

(Source: Search Engine Land)