AI in tourism today mostly means chat assistants and trip planners on destination websites that answer visitor questions and build itineraries from the destination's own content, plus tools that help staff write, tag and analyze.
There is a lot of noise about AI in travel. For a visitor bureau, the useful question is narrower: what are destinations actually putting in front of visitors, and what does it take to do it well? This post looks at examples we could verify on the organizations' or vendors' own pages, then sorts the uses into categories a small DMO can act on.
Real examples from destinations
Each of these is described from the organization's or vendor's own published page. We have not tested these tools ourselves, and the details are as they describe them.
Visit Frisco: a website assistant that suggests partners
Visit Frisco in Texas launched an AI assistant called Frankie on its website on November 4, 2025. According to the bureau, it works as an FAQ tool, suggests partner hotels, shares dining, shopping and event information, and lets visitors reach the Visit Frisco team. The bureau says it was built by vendor GuideGeek.
What it shows: a mid-sized bureau using AI as a front door to its partners, not just a search box.
Discover Puerto Rico: personalized itineraries from DMO content
In February 2025, the AI travel platform Mindtrip announced a partnership with Discover Puerto Rico, the island's destination marketing organization. The release says visitors on the DMO's website can ask questions and get personalized itineraries built from Discover Puerto Rico's content and business listings, with maps, and can share plans with family and friends. It also names other destinations that piloted the platform.
What it shows: itinerary building as a way to turn inspiration content into a plan a visitor can act on.
Northern Territory, Australia: a trip planner grounded in curated content
Tourism and Events Northern Territory, a government agency, launched an AI Trip Planner in November 2025, built with Insight. The published case study says it is grounded in curated Territory content and tourism data, ties itineraries to real travel constraints, and recommends local operators. It requires no login.
What it shows: the importance of preparing content before switching on AI. Much of the described work was organizing data so the assistant could rely on it.
Platform vendors adding AI
Larger destination software vendors now sell AI features too. Simpleview, whose site now carries the Granicus Destinations name, lists several on its AI solutions page, including a partner AI assistant for trip recommendations and an answer engine that responds to visitor questions on a destination's website. It also sells a tourism AI chatbot. Several are described as drawing on data from that company's own website and CRM products.
The main categories of AI use in tourism
Strip away the brand names and most AI use at destinations falls into a few categories.
1. Visitor question answering
A chat assistant on the website answers practical questions: where to park, what's open, which beaches allow dogs, what's on this weekend. This is the most common and most immediately useful category, because it covers the hours when the visitor center is closed.
The quality depends almost entirely on the content behind it. An assistant that answers from the destination's own pages, directory and events will be more accurate and more local than one that relies on general web knowledge.
2. Itinerary and trip planning
Trip planners turn a visitor's interests and dates into a suggested plan. They work best for destinations with lots of attractions and a strong visual brand. For small destinations, a simpler version often does the job: answering "what should we do on a rainy Saturday with kids?" with three partner suggestions.
3. Partner referrals
Some assistants recommend specific partner businesses and track those recommendations. For a DMO funded by lodging tax or partner dues, this is where AI turns visitor service into evidence of value.
4. Content and marketing production
Staff use general AI tools to draft newsletters, social posts, alt text and event descriptions, and to translate content. This saves time but needs a human edit for accuracy and voice.
5. Research and reporting
AI can summarize what visitors ask, spot gaps in content and sort questions by topic. For a small team without a research department, this may be the most valuable use of all, because it tells you what to fix next.
What these examples have in common
Looking across the verified examples, a few patterns stand out:
- They answer from destination content. The better tools draw on the DMO's own listings, events and pages rather than general web knowledge.
- They point to local businesses. Recommending partners is a stated goal in most of them.
- They required preparation. Clean, current content is the foundation. The Northern Territory case study spends much of its length on data preparation.
- They live on the destination's own website. That keeps the visitor, and the data, with the DMO.
Lessons for small visitor bureaus
You don't need a custom build or a large platform to use AI well. You do need to get a few things right.
Fix your content first. An AI assistant will repeat whatever is on your site, including the closed restaurant and last year's festival dates. Audit your core pages before you switch anything on.
Insist on honesty about uncertainty. A good assistant says when it isn't sure and hands the question to staff. One that guesses confidently will eventually send a family to a closed beach lot.
Check how hours and changing details are handled. Hours change often. Look for a tool that shows where an answer came from and reminds visitors to confirm before they go.
Ask what you will learn. The questions visitors ask are research you can't easily get any other way. Make sure you get them in a form you can read and share with your board.
Keep partners at the center. If your funding depends on partners, an assistant that recommends them, and shows you how often, does double duty.
Remember accessibility. If your bureau is part of a county or town, the website and anything embedded in it may fall under public-sector accessibility rules. Ask vendors how their widget is tested. Our local government page covers what towns are dealing with.
Where an AI concierge fits
VisitorDesk.ai, the AI concierge for towns, chambers of commerce and visitor bureaus, sits in the visitor question answering and partner referral categories. It answers visitors 24/7 from your own website, partner directory, events, FAQs and seasonal notices, and visitors can ask in their own language. It recommends matching partners, logs each recommendation and click, and sends a monthly plain-language report. When it isn't sure, it says so and flags the question for staff. On Cape Cod–area chamber websites, 48% of its conversations came outside weekday office hours.
If you are weighing an AI concierge against other ways to cover visitor questions, read what a virtual concierge is, see what it does for visitor bureaus, or read how VisitorDesk.ai works.
