Executive summary
Travel planning has migrated from Google searches to AI answer engines. Nearly half (48.6%) of travel prompts are general trip planning rather than a specific booking. Winning in this channel means being present during inspiration, not only at the moment of purchase, and it requires different tactics from traditional SEO.
Key takeaways
- Answer engines have replaced the search bar for trip planning: 48.6% of prompts are general planning.
- Most prompts (40.1%) are inspiration-stage; only 8% show booking readiness.
- Post-purchase is 25.5% of the journey, including 11% about booking changes.
- Convenience outranks price: 81.6% of prompts signal convenience versus 20.4% price.
- 79% of prompts carry no persona signal, a wide-open space for targeted content.
What categories and topics travelers ask AI engines about
General trip planning dominates at 48.6%. Flights (18.9%) vastly outnumber hotels (6.6%), car rental (2.1%) and vacation rentals (1.1%). Custom itinerary planning (18.8%) and destination and activity exploration (16.6%) are the biggest topic clusters.
How searchers phrase their travel queries
"Travel ideas for X" structures make up 29.4% of prompts and "how to manage my booking" 20.9%. Comparative, transactional phrasing is rare: "best flights to X" appears in only 1.6% of prompts and "best package to X" in 0.8%.
What travelers want from their AI searches
Trip planning (28.1%) is the dominant intent, followed by discovering options (13.6%), managing bookings (12.8%) and understanding policies (12.3%). By query type, prompts skew informational (28.9%), how-to (26.5%) and recommendation (20.5%); price-focused prompts are 9.3%.
| Intent | Share | Query type | Share |
|---|---|---|---|
| Trip planning | 28.1% | Informational | 28.9% |
| Discovering options | 13.6% | How-to | 26.5% |
| Managing bookings | 12.8% | Recommendation | 20.5% |
| Understanding policies | 12.3% | Price-focused | 9.3% |
Where travel verticals fall in the customer journey
Awareness is 37.5% of prompts, post-purchase 25.5%, research 14.7%, consideration 13.4% and decision just 7.8%. In the activities vertical, 69.9% of prompts are dreaming and inspiration.
Who asks AI travel questions and how they feel
Where a persona is detectable, budget savers (10.3%), group organizers (7.2%) and family planners (7.1%) lead; 79% of prompts carry no persona signal at all. Emotionally, curiosity dominates at 57.8%, while confused (7%) and frustrated (4.5%) prompts are small but critical conversion moments.
What drives travel planning decisions
Destination fit (33.3%), booking ease (30.8%) and availability (29.8%) lead the decision factors, followed by price (28.1%), policy clarity (27.8%), trip value (26.7%) and convenience (24.2%). As a signal across all prompts, convenience appears in 81.6% and variety in 65.2%, while price appears in only 20.4%.
How ready searchers are to spend on travel
Commercial intent appears in 59.1% of prompts and 52.8% point to high-value, multi-product packages, but explicit purchase intent reaches only 17.2%. Price is discussed in just 17.3% of prompts and budget-focused queries are 6.8%.
Where the travel content opportunity lies
Destination inspiration is the largest opportunity (36.2%), followed by retention support (23%), comparison wins (16%) and informational content (13.3%).
How travel brands can maximize visibility in AI Search
Brands have to be visible across the whole journey, from the first "where should I go" to the "how do I change my booking" months later. That means publishing clear, parse-able guides and policy pages that an engine can quote, rather than pages engineered to rank for a keyword.
In AI Search, the brand that helps someone dream about the trip is the brand that gets recommended when they book it.
Methodology
The analysis uses Flowgen's Prompt Volumes data covering 4,352 travel prompts. Researchers created 150 keyword-instruction pairs, filtered candidates through vector matching and LLM relevance filters (Qwen3-8B and GPT-5.4 Mini), then classified each prompt across journey stage, intent, persona, emotion, decision driver and content opportunity.