AI in the travel industry has moved from experiment to infrastructure. The question destination marketing organizations were asking two years ago, “should we invest in AI?”, has been replaced by a sharper one: “which AI capabilities matter most for our destination right now?”
The global AI-in-tourism market is projected to reach $13.38 billion by 2030, a 28.7% compound annual growth rate according to MarketsAndMarkets. The DMOs pulling ahead aren’t waiting for the market to mature around them. This guide covers the areas where AI is having the most measurable impact on destination marketing right now, and what each means for your team.
How AI Is Changing Travel Discovery
One in ten U.S. internet users now starts their travel discovery journey inside a generative AI tool, according to Phocuswright’s 2026 research, while zero-click searches rose from 22.8% to 26.7% in just over a year. For DMOs, this creates both a threat and an opportunity. Destinations with thin or poorly structured content become invisible in AI-generated results. Destinations that invest in authoritative, structured, and specific content become the default recommendation when a traveler asks an AI where to go next.
The clearest signal of where this is heading comes from the largest players. According to coverage of Expedia Group’s Q1 2026 earnings call, CEO Ariane Gorin described AEO as the company’s fastest-growing marketing channel. Expedia is now integrated with both ChatGPT and Claude for travel bookings, and while AI-driven traffic remains a small share of total volume, it consistently shows a strong mix of new users, higher conversion rates, and larger average purchase size than traditional channels. Expedia now handles more than 250 million service interactions a year, with over 30% powered by AI.
But there is a meaningful tension at the heart of all this. A separate Expedia Group survey published in April 2026 found that only 8% of travelers are comfortable letting AI complete a booking on their behalf. AI is transforming the discovery and planning layer. The transaction layer hasn’t followed yet. For DMOs, the implication is clear: optimize for AI discovery now, because that’s where trip planning decisions are being made, even if the booking happens elsewhere.
Meanwhile, while 90% of travelers are aware AI can help them plan or book trips, only 38% have actively used it. That gap signals a market that’s about to accelerate. Destinations that build their AI content infrastructure now will be the ones travelers encounter first when adoption steepens.
Destinations that publish specific, current, structured content are already positioned for both traditional search and AI discovery, because tourism SEO and AEO run on the same inputs: named entities, direct answers under question-shaped headings, and pages refreshed regularly.
AI-Powered Trip Planning
Traditional travel planning meant sifting through dozens of blog posts and OTA pages that weren’t built with a specific trip in mind. AI trip planners analyze interests, past behavior, travel dates, and group composition to surface tailored itineraries in seconds, replacing the research phase with a conversation.
Seeker Explore’s AI trip planner puts this capability directly in the hands of destination marketers, serving personalized recommendations to visitors while retaining the first-party data and relationships that come with it. Destinations using the tool turn passive website visitors into active trip planners, capturing email addresses and preference data in the process.
For DMOs, the strategic shift here is ownership. When a traveler plans their trip through ChatGPT or Google, the destination gets zero data from that interaction. When they plan through a DMO’s AI trip planner, the destination owns the contact, the preferences, and the relationship. That’s a durable advantage as AI becomes the default planning interface.
AI in Community Events and Hyperlocal Engagement
Events are one of the most powerful tools a DMO has for driving visitation and community engagement, but maintaining a comprehensive, current events calendar has historically required significant manual effort. AI significantly reduces that operational burden.
Seeker Events Network uses AI-driven event aggregation to automatically discover and surface community events without relying on manual submissions alone. The platform monitors event sources across a destination, identifies new listings, and surfaces them for DMO review, reducing the editorial workload while keeping the calendar more comprehensive and current than manual curation alone can achieve.
A well-maintained AI-powered events calendar also improves SEO performance. Each event listing is a potential long-tail search result for hyperlocal queries that no other page on the destination website would capture. For more on the events calendar as an authority-building tool, see our community calendar playbook for destination organizations.
Digital Passports and First-Party Data at Scale
Digital passports gamify the visitor journey, turning a passive visit into a structured participation program. Every check-in, photo submission, and badge earned gives DMOs first-party data on visitor behavior: where they went, what they photographed, how many locations they visited, and how long the program held their attention.
According to travel marketing research from Evokad, 33% of organizations already report AI improving customer personalization. The first-party data that digital passport programs generate accelerates that advantage. Each program builds an owned audience of high-engagement contacts rather than a one-time event list, giving DMOs the raw material for AI-powered personalization at scale.
For examples of what digital passport programs look like in practice, see the Stockton Flavor Fest, Utah Valley’s Summer Bucket List Challenge, and DevRev’s conference activation.
AI-Assisted Content Marketing
Generative AI has made it possible for destination teams to produce more content, faster. According to a 2026 survey of marketing leaders, AI content drafting now delivers an average 3.2x ROI. AI Overviews now appear on more than half of all Google searches for travel-related topics, according to Noble Studios, which means the goal isn’t just ranking higher. It’s being cited inside the AI-generated answer.
The practical implication for DMO content teams: produce specific, authoritative, structured content that AI systems can parse and cite. FAQ sections, named entity optimization, schema markup, and regularly refreshed pages all improve the likelihood of appearing in AI-generated travel recommendations. See our guide to tourism SEO and AEO for the full framework.
Predictive Analytics and Smarter Campaign Decisions
Predictive analytics tools analyze historical visitation data, booking windows, social signals, and seasonal patterns to help DMOs forecast demand spikes and allocate budgets where they’ll have the greatest impact. AI-based travel startups attracted 45% of all travel-industry venture capital in the first half of 2025, up from just 10% in 2023, a clear signal that the investment community views AI as the primary growth vector in travel technology.
For DMOs, predictive analytics is most immediately useful for: identifying which months have the largest opportunity to shift from off-peak to shoulder-peak; understanding which event types drive the longest stays and highest spend; and forecasting which campaigns are likely to outperform based on past engagement patterns.
What This Means for Your DMO in 2026
The Expedia data tells the story clearly: AI is already the fastest-growing channel for travel discovery among the largest OTAs in the world, but travelers aren’t letting AI complete the booking yet. The opportunity for DMOs is to own the discovery moment, to be the answer a traveler gets when they ask an AI where to go, before Expedia, Google, and other aggregators consolidate that position entirely.
The three AI capabilities with the clearest ROI for destination marketing right now are: an AI-powered events calendar that keeps your destination visible in local event discovery; a trip planning tool that captures first-party data from visitors during the planning phase; and a gamification platform that turns visitation into measurable engagement with owned data at every touchpoint.
Seeker’s suite covers all three. Seeker Events Network handles automated event discovery, Seeker Explore’s AI trip planner converts website visitors into trip planners, and Seeker XP gamifies real-world participation and generates first-party data at every check-in. Book a demo and we can show you what each looks like for your destination.
Frequently Asked Questions
How is AI being used in the travel industry?
AI in the travel industry is currently most active in four areas: personalized trip planning (AI tools that generate tailored itineraries based on traveler preferences), automated content discovery (AI-powered events calendars that surface local programming without manual entry), predictive analytics (forecasting demand patterns and campaign performance), and content marketing (AI-assisted content production and optimization for AI-generated search results).
What does AI mean for destination marketing organizations?
For DMOs, AI creates both a threat and an opportunity in travel discovery. Destinations with thin, unstructured content are becoming invisible in AI-generated travel recommendations. Destinations with authoritative, specific, structured content are becoming the default answer when travelers ask an AI where to go. The practical response is investing in content quality, schema markup, FAQ pages, and regular refresh cycles that make content parseable by AI systems.
How does AI improve the visitor experience?
AI improves the visitor experience primarily through personalization: trip planning tools that surface recommendations matched to a specific traveler’s interests and dates, events calendars that surface locally relevant programming in real time, and gamification programs that adapt engagement mechanics based on participant behavior. Each of these replaces a generic experience with one that feels specifically relevant to the individual.
What is AEO and why does it matter for travel destinations?
Answer Engine Optimization (AEO) is the practice of structuring content to be cited in AI-generated responses rather than just ranked in traditional search results. It matters for travel destinations because AI tools like ChatGPT and Google’s AI Overviews are increasingly the first stop in trip planning. Destinations that appear in those AI-generated answers capture travelers at the earliest, highest-intent stage of the planning process. See our tourism SEO and AEO guide for the full framework.
Is AI replacing human travel agents and destination marketers?
No. AI is replacing the research and logistics layer of travel planning, not the judgment, creativity, and relationship layers. For DMOs, AI handles event aggregation, content drafting, personalization, and data analysis at scale, freeing destination teams to focus on strategy, partnerships, and the experiential programming that no algorithm can produce. The destinations that treat AI as an operational tool rather than a replacement will outperform those that either ignore it or over-rely on it.