AI in the travel industry has crossed the line from exciting experiment to operational reality. Destination Marketing Organizations (DMOs) that once debated whether to invest in artificial intelligence are now asking a sharper question:
“How do we deploy AI at scale effectively?
The answer matters more than ever. The global AI-in-tourism market is projected to grow to $13.38 billion by 2030 according to a report by MarketsAndMarkets. That’s a 28.7% compound annual growth rate. The DMOs pulling ahead aren’t waiting for the market to mature around them.
This guide breaks down how AI is reshaping travel planning, visitor engagement, event discovery, and content marketing for destination teams, and where Seeker’s platform fits into that picture.
The New Rules of Travel Discovery
The traveler’s path to a destination has fundamentally changed. One in ten U.S. internet users now starts their discovery journey inside a generative AI tool, according to Phocuswright’s 2026 travel research, while zero-click searches — where a traveler gets their answer directly on the results page — rose from 22.8% to 26.7% in just over a year. This means that organic traffic is no longer guaranteed. Visibility now means being cited inside an AI-assembled answer. For DMOs, this creates both a threat and an opportunity.
The threat: destinations with thin or poorly structured content become invisible in AI-generated results.
The opportunity: destinations that invest in authoritative, structured, and experiential content become the default recommendation when a traveler asks an AI where to go next.
The good news is that AI adoption among travelers is still early. While 90% of travelers are aware AI can help them plan or book trips, only 38% have actively used it — according to TakeUp’s 2026 survey of U.S. leisure travelers. That gap signals a market that’s about to accelerate. Destinations that get their AI infrastructure in place now will be the ones travelers encounter first when the curve steepens.
AI-Powered Trip Planning: From Generic to Genuinely Personalized
Traditional travel planning meant sifting through dozens of blog posts, travel aggregators, and OTA (online travel agency) pages that weren’t built with your specific trip in mind.
AI changes that equation entirely. Instead of generic recommendations, AI trip planners analyze a traveler’s interests, past behavior, travel dates, and group composition to surface tailored itineraries in seconds.
Seeker Explore’s AI trip planner puts this capability directly in the hands of destination marketers. A family planning a weekend trip doesn’t want to dig through nightlife roundups. A solo adventure traveler doesn’t need family-friendly filters. Seeker Explore serves the right recommendations to the right visitor — and DMOs retain the data and relationships that come with it.
This matters for destination marketing strategy because personalized discovery drives deeper engagement. Visitors who plan through an AI tool that surfaces activities matched to their interests are more likely to stay longer, spend more, and share their experience. The recommendation engine becomes a conversion engine.
AI in Hyperlocal Engagement: Powering Your Events Calendar
Events are among the most powerful tools a destination marketing organization has. They drive visitation, fill hotel rooms in shoulder seasons, and give travelers a specific reason to choose your destination over another. The challenge has always been operational: discovering, verifying, and publishing a comprehensive, up-to-date calendar is an enormous lift for lean DMO teams.
Seeker Events Network solves that problem with AI-driven event aggregation. Rather than relying on manual submissions alone, the AI-powered events calendar automatically discovers and surfaces community events: concerts, festivals, farmers markets, sporting events, and more — giving visitors a reason to explore and giving DMOs a content advantage they could never build manually as fast and effective.
AI also makes event content smarter over time. By analyzing which events drive engagement, click-throughs, and visit intent, DMOs can identify which types of programming resonate most with their audience and plan their own activations accordingly. For more on how this works at the product level, see 7 Facts You Didn’t Know About Seeker Events Network.
Turning AI Insight Into Real-World Action: Digital Passport Technology
Knowing what a visitor wants is only half the equation. Activating that interest by turning it into actual foot traffic, business visits, and memorable experiences requires tools that bridge the digital and physical worlds. That’s where Seeker XP and Seeker’s digital passport technology come in.
Digital passports gamify the visitor journey. Travelers check in at local businesses, attractions, and events — earning badges, climbing leaderboards, and unlocking rewards as they go. It’s experiential marketing built for the real world, powered by participation mechanics that work whether you’re running a heritage trail, a food and beverage circuit, a festival activation, or a small business passport.
The data collected along the way is what makes AI in destination marketing truly powerful. Every check-in, photo submission, and email opt-in gives DMOs first-party data on visitor behavior, including what they’re exploring, how long they’re staying, and what’s driving their decisions. That data feeds smarter AI recommendations, tighter segmentation, and more compelling campaigns. As McKinsey research confirms, 33% of organizations already report AI improving customer personalization, and the data flywheel that digital passports create accelerates that advantage. For a deep look at how this works, see How Digital Passport Technology Is Revolutionizing Experiential Marketing Campaigns.
To see what this data flywheel looks like in practice, read the case study on Explore Utah Valley’s Summer Bucket List Challenge: an experiential marketing campaign that transformed their Summer Bucket List from a flat checklist into a dynamic, gamified digital experience — one that gave participants real reasons to explore, compete, and spark social sharing. It turned a milestone celebration into an ongoing, community-powered experience that lived far beyond a single moment or event.
Every check-in generated first-party data. Every photo became a piece of authentic user-generated content (UGC). And by requiring participants to claim prizes in person at the visitor center, Explore Utah Valley turned a digital campaign into real-world foot traffic.
AI-Assisted Content Marketing for Destination Marketers
Generative AI has made it possible for destination teams to produce more content, faster. But speed alone isn’t a strategy. The DMOs winning in 2026 are using AI to produce content that is authoritative, structured, and findable by both human travelers and the AI systems that increasingly mediate discovery.
According to a 2026 survey of marketing leaders, AI content drafting now delivers an average 3.2x ROI, and personalization engines deliver 2.7x ROI. Those numbers reflect something important: AI’s biggest value in content marketing isn’t replacing the writer, it’s enabling the kind of scale and personalization that no human team can achieve alone.
For destination marketers, this means using AI to generate local guides, curated itineraries, event roundups, and business spotlights at a volume that keeps the destination’s digital presence fresh and authoritative. Pair that with user-generated content collected through digital passport programs, and you have a content engine that is both scalable and authentic.
The critical caveat: AI Overviews now appear on more than half of all Google searches for travel-related topics, according to Noble Studios, which cuts organic CTR significantly. The new goal isn’t ranking higher, it’s being cited inside the answer. That requires structured, credible, machine-readable content. It also requires the kind of experiential data and local authority that only a DMO can provide.
Predictive Analytics and Smarter Campaign Decisions
AI doesn’t just help destinations reach travelers, it helps them anticipate them. Predictive analytics tools analyze historical visitation data, booking windows, social signals, and seasonal patterns to help DMOs forecast demand spikes, identify underperforming periods, and allocate budgets where they’ll have the greatest impact.
For lean DMO teams managing multiple campaigns across multiple channels, this is transformative. Instead of relying on gut feel and last year’s numbers, teams can make data-driven decisions about when to push promotions, which segments to target, and which experiences to position for each season. Platforms like Seeker Events Network also contribute to this picture by surfacing patterns in event-driven visitation — a data signal that most DMO tech stacks completely miss.
The organizations that understand this are leaning in fast. AI-based travel startups attracted 45% of all travel-industry venture capital in the first half of 2025, up from just 10% in 2023. Personalization infrastructure has moved from experimental to essential and the destinations building that infrastructure now will have a compounding advantage as adoption accelerates.
Balancing AI Efficiency with Authentic Human Connection
AI is a powerful tool for destination marketers, but a tool is only as good as the hand that wields it. Travel is fundamentally human. The reason people visit a destination isn’t to interact with a chatbot. It’s to connect with a place, a culture, and the people who make it unique. AI should amplify those connections, not replace them.
This means being thoughtful about where automation serves the traveler and where it creates friction. Personalized recommendations work best when they feel like expert local knowledge, not AI guesswork. Events calendars are most valuable when they surface genuine community life, not just algorithmically safe content. Digital passports drive the deepest engagement when the experiences they unlock feel worth pursuing.
Data privacy is also a genuine consideration. Destination teams collecting first-party data through digital passport programs have real obligations to their participants: clear opt-in processes, transparent data use policies, and a commitment to using that data to improve the visitor experience rather than simply monetizing it.
The destinations that get this balance right, using AI-powered experiential marketing to serve travelers better while preserving the authenticity that makes a destination worth visiting, are the ones that will build lasting loyalty.
What This Means for Your DMO in 2026
Using AI in the travel industry isn’t a future consideration anymore. It’s the infrastructure that separates destinations that are being recommended by AI tools from those that are being skipped by them.
The good news: building that infrastructure doesn’t require a massive team or a technology overhaul. It starts with the right platforms.
Seeker’s suite: the AI trip planner via Seeker Explore, the AI-powered Seeker Events Network, and the experiential marketing platform Seeker XP, gives destination teams the tools to attract visitors, activate their interest in the real world, and collect the first-party data that powers smarter decisions over time. It’s technology that sparks connection, at every stage of the visitor journey.
Ready to see how it works for your destination? Book a demo today.
F.A.Q.
Q: How is AI used in destination marketing?
A: AI in destination marketing refers to the use of artificial intelligence to attract, engage, and convert travelers — from personalized trip planning and automated event discovery to predictive analytics and first-party data collection. Rather than broadcasting the same message to every potential visitor, AI enables destination teams to deliver the right content to the right traveler at the right moment, at a scale no human team could achieve alone.
Q: What is an AI-powered trip planner?
An AI-powered trip planner is a tool that generates personalized travel itineraries based on a visitor’s interests, travel dates, group size, and preferences, replacing the hours of research a traveler would otherwise spend sifting through blogs, aggregators, and review sites. Instead of generic recommendations, it surfaces the right experiences for the right traveler at the right time, drawing on behavioral data and destination content to make suggestions that feel less like an algorithm and more like a knowledgeable local.
Q: What is an AI-powered events calendar for tourism?
A: An AI-powered events calendar automatically discovers and publishes local events, from festivals and farmers markets to concerts and sporting events, without relying solely on manual submissions. By continuously aggregating community event data, it keeps a destination’s calendar comprehensive and current, giving visitors more reasons to explore and reducing the operational burden on lean DMO teams.
Q: What is a digital passport in destination marketing?
A: A digital passport is a gamified mobile experience that guides visitors through a destination’s attractions, restaurants, and events. Participants check in at locations, earn badges and prizes, and compete on leaderboards as they explore. For destination marketers, the program generates first-party data such as email addresses, behavioral insights, and user-generated content — that fuels future campaigns and helps prove the ROI of experiential activations.
Q: How does AI help DMOs prove ROI?
A: AI tools help DMOs prove ROI by turning anonymous visitor interest into measurable, attributable action. Tools like predictive analytics, personalized trip planning, and gamified engagement programs collect behavioral data at every touchpoint — what visitors are exploring, how long they’re engaging, and what’s driving their decisions. That first-party data enables better attribution, tighter audience segmentation, and more compelling cases for destination marketing budgets.