For decades, the challenge was straightforward: win attention and convert it into visits. Campaigns created awareness. Websites organised information. Search sent traffic. Suppliers converted demand.
AI-led planning adds a new requirement.
As Google, Apple and other platforms bring AI assistants into everyday life, traditional search is giving way to conversational planning. Travellers and planners no longer start with where they want to go. They start with what they need.
Requirements first. Destination second.
A planning conversation now sounds like this:
"We're travelling from London with two children and elderly parents for a beach holiday in December. Direct flights only. My mother can't walk far, so accessibility matters, including buggy transport within the resort. We need connecting rooms, vegan dining, tennis and padel, a strong spa and gym, cultural attractions nearby, a kids' club, and temperatures below 30°C."
"We need an APAC destination for 2,000 delegates: fifteen breakout rooms, direct international connectivity, accessibility provision, sustainability credentials, gala-dinner options nearby and a strong supporting programme for a food-tech conference, with culinary venues within walking distance."
These conversations hand AI the criteria for a choice, and the destination hasn't been chosen yet.
The journey has been rebuilt
Travel planning used to run one way:
It now runs through a different path:
The AI conversation is no longer a step before the decision. It's where the decision gets made.
And a conversation does what a search query never could: it reveals requirements. Inside that conversation, a destination has to clear three tests in sequence:
Recommendation gets you into the room
When twenty destinations could satisfy the same brief, what decides which ones make the answer? If AI doesn't surface your destination among the options, you never get the chance to compete. No website visit. No supplier enquiry. No RFP. No booking.
Accuracy keeps you there
Being named is only the opening. The planner keeps asking: which hotels have connecting rooms, which resorts provide buggy transport, which venues offer fifteen breakout rooms for 2,000 delegates. Every new question moves the conversation from the destination itself to the suppliers that must fulfil the requirements. Every requirement is another data point the answer has to supply.
To answer with confidence, AI needs 130 to 350 structured fields per supplier. Most destinations hold fewer than twelve.
The question is no longer whether AI can recommend the destination. It's whether AI can answer the next question accurately enough to keep the planner moving toward a choice.
Confidence closes it
For decades, destination marketing organisations and tourism boards have been the trusted voice of their destination.
When AI plans a trip and names its source, the destination's own organisation is the name a traveller trusts most.
Today, most destinations don't hold the structured data AI needs. Therefore it can't draw on them. It falls back on crowd-sourced rankings, outdated listings and third-party mentions. The most trusted voice goes unheard.
If destinations want travellers and planners to trust what AI says about them, they cannot remain outside the answer. They must become the authoritative source of truth behind it.
If AI increasingly shapes who is considered, trusted and ultimately chosen, the consequences reach well beyond visibility, into the wider tourism economy.
Next month: What are the economic consequences of AI-shaped demand?
