8:15 AM · The visitor inbox
A family asks whether the scenic byway is open yet. It opens in three weeks; the answer is on page four of a PDF.
Solutions · Destination organizations
A trip planner that knows your destination better than the internet does
Travelers are already asking AI assistants where to go. Nova helps you answer with operational truth — opening seasons, capacity, accessibility, this week's trail closure — and send visitors beyond the same three postcards.
What landed on the desk this Monday
A composite week-start at a regional destination office. Every item is ordinary; together, they're the problem.
9:40 AM · A partner lodge calls
An AI assistant told a guest the lodge has a spa and allows dogs. It has neither. The guest is annoyed with the lodge, not the assistant.
11:00 AM · The crowding report
Three trailheads overflowed by 9 AM on Saturday, while restaurants in the river towns forty minutes away had empty tables at dinner.
1:30 PM · Board prep
The board wants to know what you're doing about AI. The honest answer is a trial someone started on a free tool last spring.
3:00 PM · A vendor demo
A polished trip planner that recommends a café that closed last winter and routes a wheelchair user up a staircase.
4:45 PM · The data question
Events live in one system, listings in another, accessibility notes in a spreadsheet and seasonal closures in someone's head.
Travelers moved first
In an August 2026 study by Mindtrip with Sabre, Sojern and MMGY Travel Intelligence, 54% of U.S. travelers said they had already used AI to plan travel, and 63% said they would use an AI trip planner on a destination website. Among the DMO leaders surveyed, 22% offered AI trip planning on their sites and 26% had a documented AI strategy.
- The same study found that 40% of travelers had discovered a destination through AI, and 29% had changed plans based on an AI recommendation.
- 72% of DMO leaders said organizations that don't adopt AI within two years risk becoming irrelevant in destination discovery.
- Only 20% ranked itinerary building as a high-value capability. We half agree: the itinerary isn't the point. What it does — spreading visitors out, filling quiet days, getting partners booked — is.
Side by side
What changes with Nova
The difference between a planner that talks well and one your partners can trust is mostly the data underneath.
AspectA generic AI plannerA planner grounded in your destination
Source of truthWhatever the web said last year, plus confident guesses.Your listings, events, seasonal dates and partner updates, refreshed on a schedule you control.
When something's closedRecommended anyway.Left out, with a good alternative offered and the reason shown.
Visitor flowEveryone sent to the same famous five.Route Engine and Signals weigh forecast crowding, so a Saturday plan may lead with the river towns and save the overlook for Tuesday.
AccessibilityA checkbox, if that.Step-free routes, rest stops and verified venue details modeled as constraints. See accessible travel.
Outside AI assistantsYour partners appear only as an intermediary's listing, if at all.Structured, citable content and an Agent Gateway so assistants can read and book partners on terms you set.
Visitor dataOften, the vendor's.Yours, governed by your own policies.
Recommended modules and services
- ModuleItinerary StudioThe visitor-facing planner: day plans drafted only from your destination model.
- ModuleSignalsDemand and crowding forecasts by area and day, so dispersal is planned rather than hoped for.
- ModuleAgent GatewayAn MCP server that lets outside AI assistants find and book your partners directly.
- ServiceAI Search Visibility for TravelMake your destination and its businesses citable when travelers ask an assistant where to go.
- ServiceTravel Data Engineering & IntegrationListings, events, accessibility notes and status feeds mapped and deduplicated into one model.
- ServiceAI Strategy & Discovery SprintThree to four weeks to map your data, test a grounded planner and write a plan your board can approve.
How it works
A sample workflow: from scattered listings to a planner partners trust
- 01
Gather the operational truth
Weeks 1–4Listings, events, seasonal dates, trail and road status, accessibility notes, partner contacts. We map and deduplicate them into one destination model.
- 02
Ground the planner
Weeks 3–6Itinerary Studio drafts only from that model. Anything it can't verify, it doesn't recommend.
- 03
Write down your dispersal rules
Your team decides what the planner should favor — quieter towns on peak weekends, transit-friendly routes, partner businesses — and the rules are written down for the board to see.
- 04
Soft launch with staff watching
Weeks 6–10Visitor-services staff review conversations for the first weeks and correct anything off. Corrections feed straight back into the model.
- 05
Open the doors to other assistants
Publish structured data and connect Agent Gateway, so outside AI assistants can cite your destination and book your partners directly.
- 06
Report what moved
Planner use, recommendations by area and day, referrals and bookings where they can be tracked — in a form you can take to the board.
We didn't need another chatbot. We needed one that would say ‘that road opens in June’ and then send people somewhere just as good.
Further reading
- Case studyCase study: an agent-ready planner in the Mountain WestGrounding a regional trip planner, opening it to AI agents, and measuring visitor dispersal in the pilot.
- Field noteTwelve questions DMOs should ask before buying an AI trip plannerGrounding, data ownership, partner fairness and measurement — what to ask any vendor, including us.
- Field notePhantom trails and closed cafésWhy travel AI invents places, and what it takes to ground it in live data.
Questions
Frequently asked questions
Does the planner replace our website?
No. It lives on your site — and, if you like, on WhatsApp or SMS through Concierge — alongside the content you already publish. Most start on the highest-intent pages, like plan-your-trip and events.
How do you keep it from recommending closed or non-existent places?
The planner drafts only from your destination model, which is refreshed from listings, partner updates and status feeds. If a venue's status is unknown or stale, it isn't recommended. We test for it before launch.
How are partners included, and is it fair to non-members?
You set the rules, and they're written down. Some destinations favor members, some treat all licensed businesses equally, many weigh dispersal goals. Whatever you choose, the planner applies it consistently and you can explain it.
Who owns visitor conversations and preference data?
You do. We design consent and data minimization in from the start. Our Responsible AI & Traveler Data Governance service covers the policy side.
What do we report to our board?
Measures agreed at the start: planner sessions, recommendations by area and day of week, referrals to partners, and bookings where they can be tracked. Pilot results are reported as pilot measurements, with the method shown.
Related
Keep exploring
- WorkMountain West destination organizationHow a regional destination organization in the Mountain West launched an agent-ready trip planner, earned more AI citations and eased crowded trailheads.
- PlatformAgent GatewayYour own MCP server and agent-safe checkout, so AI assistants can find and book you directly under your policies, spend limits, attribution and audit logs.
- ServicesAI Search Visibility for TravelGenerative engine optimization done as engineering: structured data, consistent facts, fresh availability and policies, and tracking of what assistants say.
- Use casesShoulder-Season Demand ShapingShoulder-season demand shaping: predictive signals spot soft weeks early and suggest packages worth building, long before a discount looks like the only option.
- Field Notes · Agentic TravelTwelve Questions DMOs Should Ask Before Buying an AI Trip PlannerA buyer's checklist for destination organizations: twelve questions on grounding, data ownership, agent distribution and measurement, with red flags to watch.
Start with what you already know
Most destinations already have the data for a grounded planner; it's just scattered. A Discovery Sprint maps it, tests it and gives you a plan you can take to your board.