Travelers are asking ChatGPT where to go on vacation. They are getting answers without ever seeing your destination website. This is not a future scenario. It is happening right now, and most DMOs are completely unprepared.
The Sojern 2026 State of Destination Marketing report confirms what I have been seeing in my audits: AI search is fundamentally changing how travelers discover destinations. The question is not whether this shift will affect your organic traffic. The question is whether you will adapt before your competitors do.
What the Data Actually Shows
According to Sojern’s research, 87% of travel marketers now consider AI integration critical to their 2026 strategies. That number jumped from roughly 65% the previous year. When nearly nine out of ten marketers in an industry agree on something, it usually means the disruption is already underway.
But here is what the report does not say explicitly: most of these marketers have no idea how to actually optimize for AI discovery. They know it matters. They just do not know what to do about it.
I have worked with DMOs and tourism boards across three continents. The pattern I see is consistent. Organizations are pouring resources into traditional SEO playbooks while AI platforms increasingly control the discovery layer. They are optimizing for a game that is being replaced.
How AI Search Changes Destination Discovery
Traditional Google search works on a pull model. Traveler types query, sees ten blue links, clicks through to websites, evaluates options. The DMO’s job was to rank in those results and then convert visitors on their site.
AI search flattens this entire funnel. When someone asks ChatGPT “best beach destinations in Europe for families with young kids,” the AI synthesizes information from hundreds of sources and delivers a direct answer. The traveler might never visit any destination website at all. They get their shortlist, move to booking, and the DMO loses all opportunity to influence the consideration phase.
This is what I call the zero-click destination problem. Your content might be training the AI. Your destination might even get mentioned. But you have lost control of the narrative and the data.
The Visibility Without Traffic Paradox
Here is something I have observed across my tourism clients. AI citations do not translate to website visits the way traditional rankings do. A destination can be mentioned frequently in AI responses while seeing declining organic traffic. The AI is using your information but not sending users to get more of it.
For Destination Marketing Organizations that rely on website engagement metrics to justify budgets, this creates a serious measurement problem. Your destination might be winning in AI visibility while your analytics dashboard shows declining performance.
What This Means for Traditional Google SEO
I want to be clear about something. Google is not going away. Search volume for travel queries remains massive. The Sojern report shows that paid search and SEO are still the top two channels for destination marketers by investment.
But the role of Google is shifting. For inspiration and discovery phase queries, AI is capturing market share. For transactional and navigational queries, Google remains dominant. The traveler who asks “what is the weather in Barcelona in April” is increasingly going to AI. The traveler who searches “Barcelona official tourism site” is still going to Google.
This means that the tourism industry needs a double-track strategy. Traditional SEO for high-intent, brand, and transactional queries. AI optimization for discovery and inspiration queries. Treating them as the same problem is a mistake I see constantly.
What DMOs Should Do Right Now
Based on my work with tourism clients and what the Sojern data suggests, here are the moves that actually matter.
Audit Your AI Visibility First
Before changing anything, understand where you stand. Ask ChatGPT, Claude, and Perplexity about your destination for various use cases. Family travel, adventure tourism, romantic getaways, whatever segments matter to you. Document what these AI systems say. Note which competitors get mentioned. Identify gaps in how your destination is represented. This baseline is essential.
Shift Content Strategy Toward Entity Building
LLM models need to understand your goal, not just the websites you own. This means investing in structured data, consistent entity information across platforms, and content that establishes clear relationships between your destination and relevant attributes. If your destination is known for wine tourism, that association needs to be reinforced across your entire digital presence in ways AI can parse and trust.
Diversify Your Source Footprint
AI systems train on diverse sources. Wikipedia, travel publications, review sites, government databases, news outlets. If your destination only shows up on your own website and a few partner sites, you have a thin source footprint. DMOs should prioritize earned media, Wikipedia presence, and authoritative third-party coverage. This is old PR work with a new purpose.
Rethink Success Metrics
If your entire performance measurement is based on website traffic and conversions, you will inevitably underinvest in AI visibility because it does not show up in those dashboards. I recommend my clients start tracking AI mention frequency, sentiment in AI responses, and share of voice in AI answers for key queries. These are leading indicators for a channel that is still maturing.
The Timeline Is Shorter Than You Think
The Sojern report projects that by 2027, AI-assisted travel planning will be the norm rather than the exception. That gives DMOs roughly two years to build competency in a channel most have not even started testing.
I have seen this pattern before. When mobile search became dominant, the destinations that moved early captured disproportionate advantage. When Google started emphasizing Core Web Vitals, the sites that fixed performance issues ahead of the update saw ranking gains while competitors scrambled.
AI search optimization is following the same curve. The window for early-mover advantage is now. By the time AI visibility becomes a standard line item in every strategy, the competitive landscape will be much harder to enter.
Frequently Asked Questions
Will AI search completely replace Google for travel research?
No. Based on current trajectory and the data from Sojern, AI will capture discovery and inspiration queries while Google retains transactional and navigational traffic. The realistic scenario is a split funnel where different platforms dominate different stages. DMOs need presence in both.
How do I know if my destination is showing up in AI search results?
Manual testing is the most reliable method right now. Query major AI platforms with variations of searches relevant to your destination and document the responses. Tools for automated AI visibility tracking are emerging but not yet mature. I recommend building an internal testing protocol and running it monthly.
What is the ROI of AI search optimization?
Honest answer: it is hard to measure directly right now. AI platforms do not provide referral data like Google does. The ROI argument for AI optimization is similar to the early arguments for social media presence. You invest because the channel is growing and because absence has a cost. DMOs that are not mentioned in AI responses are losing consideration before they know the traveler existed.
Should small DMOs prioritize AI search over traditional SEO?
No. Small DMOs with limited resources should maintain their core SEO programs while running small experiments in AI visibility. The fundamentals of good SEO, like clear site structure, quality content, and technical health, also support AI discoverability. Do not abandon what works to chase what might work.
How does this affect our relationship with OTAs and booking platforms?
AI search potentially strengthens OTA positioning because these platforms have massive content footprints that AI systems reference heavily. DMOs that want to compete need to ensure their own authority signals are strong enough to appear alongside or ahead of OTAs in AI responses. This is a harder fight than traditional search because OTAs have been investing in content scale for years.
The Strategic Imperative
Destination discovery is fragmenting across platforms in ways that make the traditional DMO playbook insufficient. The organizations that recognize this shift and start building AI visibility now will have significant advantages by 2027. The ones that wait for proven playbooks will find themselves optimizing for a channel their competitors already dominate.
If you want to understand where your destination stands in AI search and what a realistic optimization roadmap looks like, I offer AI visibility audits specifically for tourism organizations. Get in touch and let us figure out where the gaps are.
Written by Peter Sawicki, an experienced strategist with a background spanning multiple industries, from private enterprises to government projects. Having worked across different countries and markets, I bring a global perspective and practical insights to every SEO strategy I design. As a diver and adventure seeker, I’ve learned to balance attention to detail with a drive to explore new solutions, a mix that shapes both my work and my life.
