Global travel is experiencing a massive resurgence. With Brent crude oil prices dropping back to near 70 dollars per barrel by July 2026, the cost of flights and road trips has become predictable and affordable again. As energy markets calm down, consumers are eager to get back on the road. The desire to explore regional tourism is familiar, but the way consumers are building their itineraries has fundamentally changed.
Travellers are no longer willing to open dozens of browser tabs to cross-reference travel blogs and online reviews. Instead, they are turning to artificial intelligence to do the heavy lifting. This shift is happening rapidly and on a global scale. According to a recent report by PWC, generative AI is playing a "meaningful role" in how people plan their trips. The study found that 44% of respondents often or always use AI tools to compare travel prices and look for discounts, 42% use them to research destinations, and 33% are already using AI agents or bots to actually book parts of their trips.
The Good: Speed, Personalisation, and Discovery
For the traveller, the appeal of AI is obvious: it eliminates the "blank page" syndrome. Rather than spending hours researching, travellers expect fast, intuitive, and mobile-first interactions.
User discussions on Reddit back this up, with many travellers viewing AI as the perfect "starting point". One user noted that while planning a European trip, AI helped them narrow down side trips they might not have otherwise found, and even provided niche, hyper-specific tips like which countries require driving transponders.
The Bad: Hallucinations and Ghost Listings
The appeal is obvious, but relying purely on AI trip planning comes with significant friction. While AI can build the dream, it requires a human "reality check" to actually book it.
A deep dive into user discussions on Reddit reveals a clear pattern of complaints regarding AI "hallucinations". AI is notoriously bad at understanding real-world geography and logistics. One traveller who used AI to plan a 3,700-mile RV road trip pointed out that the algorithm completely failed to consider vital real-world factors like road conditions, overnight stop locations, or scenic routes. Another user expressed frustration that AI would confidently claim direct flights existed between cities when they absolutely did not, or describe the transit between two towns as "easy" when it wasn't.
These logistical errors echo the findings of a recent Forbes article exploring the accuracy of AI travel tools, highlighting the very real gap between AI inspiration and execution.
Perhaps the biggest hurdle for regional tourism is the "ghost listing" problem. Because AI tools train on historical web data, users frequently report that AI recommends new restaurants that actually closed years ago, or suggests businesses that aren't even restaurants at all. Finally, AI cannot consistently provide accurate pricing or live availability, leaving travellers frustrated when they try to pull out their credit card to book.
Optimising for AI in Destination Marketing
For Regional Tourism Organisations (RTOs), the question is how to ensure a destination is accurately represented when travellers use these tools. Destinations must shift their focus toward Artificial Intelligence Optimisation (AIO). RTOs can optimise for AI in three specific ways to ensure their local operators aren't left out of the algorithm:
- Become the single source of truth: AI models scrape the web for data. If local operators only have outdated brochures or inactive social media pages, the AI will hallucinate incorrect information. RTOs need to provide a centralised digital inventory. When a regional website hosts structured and accurate business data, AI models prioritise it as a verified source over random travel blogs.
- Digitise real-time availability: AI is evolving from suggesting itineraries to connecting directly with booking APIs. If a local operator still relies on a "request to book" email form, they will not be featured in next-generation AI planners. RTOs must empower their operators with instant booking technology and real-time availability so that AI recommendations can be booked in that exact moment.
- Publish AI-optimised itineraries to correct the algorithm: To combat logistical errors like impossible drive times, RTOs should publish highly structured and expert-vetted itineraries on their own platforms. AI tools look for authoritative sources. Publishing detailed guides helps train the AI to give better recommendations for a specific region.
The Bottom Line for Regional Tourism
Consumers will continue using AI trip planning to build their holidays, but they still need trusted local infrastructure to turn those plans into reality. By centralising data and prioritising real-time availability, Regional Tourism Organisations can position themselves as the ultimate bridge between AI inspiration and actual economic conversion.
This is exactly where Nabooki steps in. Nabooki provides powerful booking engines built specifically for destination marketing. By connecting local operators to a centralised system featuring live calendars and instant online booking, RTOs eliminate the ghost listing problems that break AI itineraries. Nabooki operates with zero commission on direct bookings, ensuring that when AI successfully drives a traveller to your region, the resulting economic yield stays in the pockets of the local community.
Ready to turn AI inspiration into direct bookings? Contact the Nabooki team to see how our infrastructure can work for your region.
