It is tempting to think of AI as one thing that happens at one point: a traveller asks ChatGPT a question, gets an answer, moves on. The reality is more useful to understand. AI now threads through the whole journey, from the first vague idea of a trip to the booking and beyond, and it shapes decisions even at the stages where it does not appear directly. This post maps the whole path, so you can see where your visibility matters most.
The pattern to hold in mind: AI has taken over the early, decision-shaping stages of the journey, while the booking itself still mostly happens the traditional way. That makes the early stages, where the shortlist is formed, the ground worth winning.
The journey has not changed shape, but who owns each stage has
Travellers still move through the same broad path they always have: dreaming about a trip, researching it, narrowing options, booking, travelling, and coming back for the next one. What has changed is which tools own each stage. The stages that used to belong to search engines, travel magazines, blogs and browsing are increasingly owned by AI. The research stage in particular has expanded and moved decisively toward AI-driven discovery, and industry analysis is clear that this is becoming a dominant gateway into the travel funnel.
Here is the journey, stage by stage, with where AI sits and what it means for you.
1. Dreaming
The traveller has the itch to go somewhere but no fixed plan. "Somewhere warm in winter." "A good trip for a special anniversary." This used to be pure inspiration territory, owned by magazines, social media and word of mouth. Now much of it happens in conversation with AI, which suggests destinations and, increasingly, specific brands and experiences that fit the mood described.
What it means for you: being named at this stage puts you in the traveller's imagination before a destination is even chosen. It is the earliest and least contested place to be present, and few brands are thinking about it.
2. Researching
The destination is chosen, and now the traveller digs in: what to do, where to stay, who to book with, how to structure the trip. This is where AI use is heaviest, because researching, condensing and comparing is exactly what these tools are good at. The traveller asks for options and gets a shortlist. Generative AI use for exactly this kind of planning has tripled in recent years, and travellers report leaning on other research sources less as they use AI more.
What it means for you: this is the decisive stage. The shortlist forms here. If you are on it, you carry through to the next stages; if not, you are out of the journey before the traveller has really begun choosing.
3. Comparing and narrowing
The traveller weighs the shortlist. "Which of these is better for us?" AI is used heavily here too, because it makes hard comparisons easy. The way you are described, accurately, and in a way that matches what this traveller wants, decides whether you survive the narrowing or fall away.
What it means for you: being on the shortlist is not enough; you have to be framed well within it. This is where accurate, clear, well-positioned information about you turns a mention into a front-runner.
4. Validating
The traveller leaves the AI to check for themselves. They read reviews, look at Google Maps, visit your website, check social proof. This is the human reassurance step, and it is where the reputation you have built does its work. Notably, trust has shifted strongly toward community voices here: the large majority of travellers consult reviews before booking, and review consumption keeps rising.
What it means for you: AI opens the door, but your reviews and reputation close it. The two work together. A strong AI presence that leads to a weak, unconvincing validation experience still loses the booking. Both have to be right.
5. Booking
The traveller commits, usually direct or through the channels you already use. Only a small share currently let AI complete the booking itself, and the industry has largely settled on travellers discovering through AI but buying where they already trust.
What it means for you: make the path from decision to booking short and frictionless. If a traveller cannot easily get a price or book after being convinced, you can still lose them at the final step. Being easy to book is part of being visible.
6. Returning
After the trip, the cycle begins again, and a good experience feeds the next trip's dreaming stage. AI increasingly makes this journey cyclical rather than linear, with each trip informing the next. The reviews a happy traveller leaves also become part of what future travellers, and the AI assistants, see about you.
What it means for you: the loop closes back to visibility. Every satisfied traveller who leaves a review strengthens both your reputation and the signals assistants use to recommend you next time.
The strategic takeaway
Lay the journey out like this and the priority becomes obvious. AI dominates stages one to three, dreaming, researching and comparing, which is exactly where the shortlist is formed and the decision is effectively made. Your reviews and reputation still own stages four and five, validation and booking. And stage six feeds back into the start.
So the highest-value place to focus is being visible and well-framed in the early stages, because that is what gets you into the consideration set at all, and it is the ground your competitors are least likely to be defending yet. Get onto the shortlist in the AI-owned stages, make sure your validation experience is strong, keep the booking easy, and let a good trip feed the next cycle.
The starting point is knowing where you currently appear across those early, decisive stages. The free AI Visibility Check shows you exactly that.
Run your free AI Visibility Check →
Sources
- Adobe / Incisiv, survey of 565 travel and hospitality leaders: the research stage expanding and AI-driven discovery becoming a dominant gateway to the travel funnel; reliance on reviews before booking. business.adobe.com
- Deloitte 2026 travel outlook, via industry reporting: generative AI use in trip planning tripling from 2023 to 2025, with users reducing use of other research sources. beadaptify.com
- TNMT (Lufthansa Innovation Hub), "How AI is reshaping every step of the traveler journey": the journey becoming cyclical, with each trip fuelling the next. tnmt.com
