Imagine typing a single sentence “Plan a 5-day trip to Lisbon under $1,500 including flights, hotels, and food” and getting a full itinerary with links to book. That’s no longer a futuristic fantasy. LLM-based search engines like ChatGPT with browsing, Perplexity, and Google’s AI Overviews are turning travel planning from a multi-tab research grind into a conversational chat.
Travel is emerging as a major vertical for AI-driven discovery because it checks every box: high complexity, high transaction value, and deeply fragmented information. This article breaks down what’s happening, who’s leading the charge, and where the friction remains.
Why Travel Is a Natural Fit for LLMs
Travel planning is messy. You juggle dates, budgets, preferences, group sizes, weather, events, visa rules, and transport modes. Traditional search engines return lists of links that you must open, compare, and cross-reference. LLMs, by contrast, can synthesize all those variables in a single conversation. Ask “Where should we go in October with a toddler?” and the model can weigh climate, flight times, stroller-friendly hotels, and pediatric care all in plain language.
This conversational fit is one reason travel is considered a “killer vertical” for AI search. Another is money. Travel ads are a multi-billion-dollar segment for Google, and the transaction value per booking is high — a single trip can cost thousands. Capturing that funnel is a huge commercial prize.
Finally, travel information is scattered across OTAs, airlines, review sites, forums, and social media. LLMs excel at aggregating and summarizing that fragmentation, offering a one-stop answer instead of a dozen tabs.
Who’s Building AI Travel Tools
The landscape splits into two camps: tech giants and travel incumbents, each with distinct strategies.
Tech giants are embedding AI directly into search. Google’s AI Overviews now appear at the top of travel-related queries, generated by Gemini. OpenAI’s ChatGPT with browsing can pull live data, and its SearchGPT prototype is testing AI-first search. Microsoft’s Copilot in Bing offers travel planning capabilities. These tools are general-purpose, but travel is one of their most-used verticals.
Travel incumbents are building their own assistants. Expedia launched an AI trip planner that started with ChatGPT and has since moved to in-house models. Booking.com has an AI Trip Planner in beta. Kayak offers Kayak AI for chat-based search. TripAdvisor has an AI trip builder. These companies control inventory data, which gives them an edge in accuracy.
Startups are also charging in: Mindtrip, Layla, GuideGeek, Wonderplan, and Roam Around are building travel-specific agents that combine LLMs with live inventory. Venture funding for such startups has surged since 2023, with several raising Series A and B rounds.
Where AI Search Excels: Inspiration and Planning
The current sweet spot for LLMs is the early part of the travel funnel: inspiration and planning. Ask “Plan a 5-day trip to Lisbon under $1,500 including flights, hotels, and food,” and a good model will generate a day-by-day itinerary with estimated costs. It can suggest hidden gems, account for dietary restrictions, and adjust for your travel style — all in seconds.
This is a massive time save. What used to take hours of research across dozens of sites now takes minutes. And it democratizes expertise: a well-prompted LLM can replicate the advice of a seasoned travel agent, making high-quality planning accessible to anyone.
Where AI Search Stumbles: Comparison and Booking
But the funnel doesn’t end at planning. Comparison and booking are where AI faces real challenges.
Real-time pricing and availability are hard. LLMs can hallucinate — invent a flight time or a hotel that doesn’t exist. Even when they retrieve live data, aggregating across multiple sources (OTAs, airlines, direct suppliers) is technically complex, and accuracy varies. A wrong flight time or a fake hotel room is a dealbreaker for travelers.
Booking completion is even harder. Most AI agents can’t complete a transaction end-to-end because of payment authentication, security, and liability issues. So the current model is: AI plans, the user books elsewhere. This breaks the seamless experience and limits the commercial capture for AI providers.
The Trust Gap
Trust is the biggest hurdle. A 2023 Deloitte survey found that roughly a third of travelers are open to using AI for planning, but a majority still hesitate. The reasons are clear: hallucination, lack of transparency about sources, and fear of booking errors. Younger demographics (Gen Z and Millennials) are more willing, but even they want verification.
Incumbents like Expedia and Booking.com have an advantage here because they control the inventory data. Their AI assistants can pull from their own systems, reducing the chance of hallucination. But they’re limited to their own offerings, which narrows comparison.
What’s Next: The Road to Full-Funnel AI
Several developments could push AI from planning to booking. First, improvements in retrieval-augmented generation (RAG) can ground LLMs in real-time data, reducing hallucinations. Second, partnerships between AI providers and OTAs could enable seamless booking — for instance, ChatGPT could hand off to Expedia’s checkout. Third, new business models are emerging: commission-based AI agents, affiliate partnerships, and subscription-based premium planning tools.
But there’s a structural tension. Tech giants want to capture the full funnel; incumbents want to keep control. The outcome will shape how travelers discover and book for years to come.
AI search has already transformed the inspiration and planning stages of travel, offering personalized itineraries in minutes. But until accuracy and booking completion catch up, the full funnel remains out of reach. For travelers, the best approach is to use AI as a powerful starting point, then verify and book through trusted channels. For the industry, the race is on to bridge the trust gap and turn AI from a planning tool into a booking companion.
Summary
- LLMs are increasingly used for travel planning, with capabilities like natural-language queries and personalized recommendations.
- Travel is a high-value vertical due to its complexity, transaction size, and fragmented information.
- Major players include Google, OpenAI, Microsoft, and travel incumbents like Expedia and Booking.com.
- AI excels at inspiration and planning but struggles with real-time pricing, accuracy, and end-to-end booking.
- The trust gap and liability issues are the main barriers to full adoption.
FAQ
Q: Can AI search engines actually book my trip?
A: Not yet reliably. Most AI agents can plan an itinerary, but booking completion is rare due to payment, authentication, and liability issues. You’ll typically need to book manually.
Q: How accurate are AI travel recommendations?
A: Accuracy varies. LLMs can hallucinate, so it’s essential to verify details like flight times and hotel availability through official sources.
Q: Which travel companies offer AI planning tools?
A: Expedia, Booking.com, Kayak, and TripAdvisor all have AI-powered planners or assistants. Startups like Mindtrip and Layla also offer specialized tools.
Q: Is AI travel planning free?
A: Many tools are free, especially those from incumbents or integrated into search engines. Some startups may offer premium subscriptions for advanced features.
Q: Will AI replace travel agents?
A: Not entirely. AI can handle routine planning, but human agents excel at complex, high-touch trips and providing accountability. A hybrid approach is likely.