AI Travel Search: From Browsing Links to Conversational Decision-Making
Generative AI is transforming travel search from entering keywords and comparing links into a conversational process that takes an individual’s budget, schedule and preferences into account. That does not mean search engines are disappearing. Rather, search results, maps, reviews and real-time data from travel platforms are being combined as the foundation for AI-generated answers.
According to a Booking.com survey of 37,325 consumers across 33 markets in 2025, 67% of respondents said they had used AI at some point during the travel process. During the planning stage, the main use cases were researching destinations and travel dates, exploring local experiences and finding restaurant recommendations.
The shift is also evident in the US market. According to Deloitte’s 2025 Travel Industry Outlook, the share of respondents who said they had used generative AI to plan a trip rose from 8% in October 2023 to 16% in October 2024. Among generative AI users, 45% said they had actually booked accommodation recommended by AI.
What GEO Really Means—and How It Relates to SEO
In this article, GEO refers to Generative Engine Optimization, not geographic optimization. The term describes efforts to increase the likelihood that brands and content will be discovered and cited by generative AI tools such as ChatGPT and Gemini, as well as in AI-powered search results.
For the travel industry, then, it is more accurate to view the shift not as “SEO is over and GEO has begun,” but as the next stage of managing AI search visibility on top of SEO. In guidance published in 2026, the Google Search Center also explained that GEO and AEO should not be treated as separate tricks, but approached as extensions of the existing search experience and SEO.
When generating an answer, AI may examine webpages, map data, reviews, images and product information together. Travel companies therefore need to provide clear information that allows AI to accurately understand who a product is for, its pricing conditions, itinerary, location and distinguishing features.
How Travel Discovery and Booking Paths Are Changing
Complex searches combining multiple criteria will become more common
With traditional search, users entered short keywords such as “Tokyo hotels” or “Jeju Island package” and then visited several websites. With generative AI, they can specify their companions, budget and transportation needs all at once—for example, “a four-day, three-night Tokyo itinerary that works well for traveling with my parents and offers convenient public transportation.”
In November 2025, Google announced that Canvas in AI Mode combines flight and hotel search data with Google Maps photos and reviews and information from the web to create personalized travel plans. In the same announcement, Google said it was expanding Flight Deals, which lets users enter travel requirements in natural language, to more than 200 countries and regions and over 60 languages.
AI may drive discovery, but trust determines the booking
Even as AI becomes central to travel discovery, traditional search engines and travel platforms continue to wield considerable influence over actual payments and post-booking support. AI recommendations and booking conversion should not be treated as the same phenomenon.
In a survey of more than 5,700 adults in the US, UK and India commissioned by Expedia Group and conducted by YouGov in 2026, 8% said they relied on AI chatbots or agents when planning travel. Search engines were cited by 59%, while online travel agencies were cited by 49%.
In the same survey, 68% said they preferred to book through a travel brand they trusted rather than through AI, and 66% said they did not trust an AI assistant to purchase or book a product on their behalf. Travel companies need to strengthen not only their visibility in AI-generated results, but also price transparency, refund policies, customer support and payment security.
GEO Strategies for Travel Companies
Manage product information with specificity and consistency
To prevent AI from inaccurately summarizing a product, clearly state the departure date, what is and is not included, minimum group size, room conditions, cancellation fees and the date the information was last updated. Data must also be synchronized so that the website, booking system and map services do not display conflicting information.
Build a bank of original, on-the-ground information
It is difficult to stand out with destination descriptions repeated across other websites. Travel companies should provide information they have verified themselves, such as site-visit reports from local staff, travel times, seasonal precautions, firsthand experience operating itineraries and guidance for families, older travelers and people with disabilities.
Publishing the names of the author and reviewer, along with the dates of reporting or site visits, makes it easier for users to assess the information’s credibility. In AI search as well, expert content with clear sourcing and verifiable recency provides an important foundation.
Maintain core SEO and standard structured data
Page titles and subheadings, internal links, mobile usability, fast load times and crawlable body copy remain important. Product names, destinations, itineraries and pricing conditions should not appear only inside images; they should also be available as HTML text.
Google says there is no special schema or required markup designed solely to increase visibility in generative AI. However, standard structured data can support rich features in search results, so it should be implemented accurately and kept consistent with the actual page content.
Strengthen local information and real-time data
Travel products are heavily affected by location, opening hours, transportation, availability and price changes. If a company operates branches or local facilities, it should keep the address, contact details and hours on its business profile up to date and check that the map location is accurate.
For frequently changing information such as airfares, accommodation prices and attraction closure dates, indicate when the information was checked and that it may change. It is also safer to advise users to confirm the latest details with official operators or suppliers before booking an itinerary generated by AI.
Opportunities and Risks in the AI Travel Market
Travel companies can use AI for customer service, product recommendations, multilingual guidance, review analysis and drafting itineraries. This can reduce repetitive questions for customer-service staff, allowing them to focus on situations that require human judgment and empathy, such as complex changes and emergencies.
Generative AI, however, may recommend restaurants that have closed, outdated flight schedules or attractions that do not exist. Excessive collection of personal information or automatically making reservations without customer consent could also create problems involving trust and regulatory compliance.
Important prices and booking conditions should therefore be rechecked against supplier data, and customers should provide explicit consent according to the level of automation involved. Companies should also clearly define how users can report errors or reach a representative, as well as who is responsible for booking changes and refunds.
Conclusion: What the Shift from SEO to GEO Means
The spread of AI travel search does not signal the disappearance of search engines. It reflects a change in how travel information is summarized, compared and recommended. Rather than abandoning SEO, travel companies need to combine accurate product data, original on-the-ground content and a trustworthy booking experience.
The essence of GEO is not writing copy aimed only at AI or relying on shortcuts. It is about providing information that is easy for people to understand and demonstrably up to date, so that both search engines and generative AI can accurately grasp the value of a product.
Frequently Asked Questions (FAQ)
What does GEO mean in travel marketing?
GEO stands for Generative Engine Optimization. It refers to improving information so that content and brands can be discovered in generative AI and AI-powered search. It does not mean geographic optimization.
Will traditional SEO become unnecessary as GEO spreads?
No. SEO fundamentals such as crawling, indexing, page structure, useful content and mobile usability remain important foundations for AI search.
What information should travel companies update first?
They should prioritize itineraries, pricing conditions, inclusions, locations, cancellation and refund policies and the date the information was last updated. Information displayed on the website and in the booking system should also match.
Will adding structured data guarantee that a product appears in AI answers?
No. There is no special structured data that guarantees visibility in generative AI. Standard structured data should be used accurately to help search engines understand the content and support rich features in search results.
Can I trust AI travel recommendations without checking them?
AI answers may contain outdated or inaccurate information. Flight details, accommodation prices, entry requirements, opening hours and booking conditions should be checked against the latest information from official agencies or suppliers.
How can travel companies stay competitive in the AI era?
They should build a body of expert content and local information verified firsthand, while keeping product data up to date. At the same time, they need to earn trust at the booking stage through transparent pricing and responsive customer support.
