Travel GEO & AI SEO. When AI plans the trip, be in the itinerary.
Trip planning is the thing assistants are genuinely excellent at, and travellers have noticed. The itinerary a model produces is the new shortlist - and OTAs and aggregators are currently supplying most of its sources.
The planning conversation replaced the research phase
Travellers used to open fifteen tabs. Now they describe the trip they want and get a plan back. Every property, destination and operator named in that plan won something.
Best family holiday parks in [region] for October half termSeason, region and audience suitability resolved together - highly winnable with the right structured data.
Where should I go for a warm week in November with a toddler?An open planning prompt where destinations and operators enter the answer through suitability signals.
Is [property] good for families with young children?A suitability check answered from facilities data and review sentiment, not brochure copy.
Dog-friendly places to stay near [location] with parkingAttribute filtering where explicit facility data decides inclusion outright.
We build your prompt set from your own category and run it against live models - these are illustrative.
Aggregators own the sources. You own the truth.
Models lean on OTAs and aggregators because their data is structured and comparable. Operators hold better, richer, more current information - it is just rarely published in a form a model can use. That asymmetry is the opening.
The itinerary is the shortlist
Inclusion in a generated plan is the modern equivalent of making the consideration set - and it happens before any site visit.
Suitability beats superlatives
Dog-friendly, step-free, toddler-suitable, parking, seasonality. Specific attributes get you named; adjectives do not.
Compete with the intermediaries
Aggregators are cited because their data is structured. Publish comparable data and you compete for the citation directly.
What travel GEO involves
Planning prompt audit
We test destination, itinerary and suitability prompts across your key markets and seasons, and benchmark against direct competitors.
Facility & suitability structuring
Machine-readable facilities, accessibility, seasonality and audience-suitability data across your properties.
Destination authority content
Local and destination expertise published in the form models quote when building itineraries.
Aggregator & OTA consistency
Aligning the data intermediaries publish about you, since that is frequently what models actually cite.
Seasonality, accuracy and specificity
Travel data goes stale faster than almost any other category. Models repeating last season's facilities, prices or opening times is a persistent and fixable problem.
Opening times, seasonal facilities and availability need to be current everywhere, or models will confidently describe a closed attraction.
Explicit accessibility and suitability data serves real traveller needs and is heavily used in filtered recommendations.
Where your own data and an OTA's data disagree, the model usually trusts the aggregator. Alignment is the fix.
How we measure travel GEO
- Itinerary and plan inclusion rate
- Destination and regional citation share vs competitors
- Suitability prompt outcomes (family, accessibility, pets)
- Accuracy of model-stated facilities, seasons and pricing
- Aggregator and OTA data consistency
- AI referral traffic and booking attribution in GA4
- Before/after prompt testing on live models
- Seasonal refresh coverage across properties
We work across regulated and high-consideration categories
Travel GEO questions
What is travel GEO and AI SEO?
Why do AI assistants cite OTAs instead of operators?
How do we compete with aggregators we also sell through?
Does this work for destinations and tourist boards as well as operators?
How do you handle seasonal accuracy?
See whether AI puts you in the itinerary
We'll run the planning prompts for your region and audience against live models and show where competitors are named instead.