A destination accumulates reputation across an entire ecosystem. No single organisation controls it.

DMOs do not own the experience. They inherit a distributed reputation.

A destination marketing organisation cannot control what a hotel guest experiences, what a restaurant visitor reviews, or what a safety journalist writes. But all of that evidence accumulates into a destination reputation that can increasingly influence AI recommendation before the next traveller chooses where to go.

This creates an evidence challenge that is fundamentally different from a hotel or airline. The DMO's job is to understand the distributed reputation their destination has earned and where that reputation stops reaching AI — and what that costs in visitor arrivals.

AI is increasingly entering travel planning at the destination selection stage, not just the supplier stage. "Where should I go?" is now a question AI answers. The destinations that understand their distributed evidence environment will be better positioned as this shift continues.

AI Revenue Gap analysis for destinations measures how a location appears across defined AI supported travel buying journeys and investigates the distributed evidence, editorial coverage and traveller advocacy associated with those patterns.