The AI Opportunity for Tourism: From Brochures to Intelligent Destinations

How artificial intelligence could change the way visitors discover, plan and experience rural destinations.

For many years, tourism websites have worked like digital brochures. They show places to visit, list accommodation, publish a few itineraries, promote events and host attractive photography.

That model still has value, but it is starting to look limited. Visitors now expect faster answers, more personal recommendations and simpler planning. They do not always want to click through twenty pages to work out whether a destination is right for them. They want help.

This is where artificial intelligence could change tourism marketing.

Not by replacing human creativity, local knowledge or the emotional pull of place, but by making destination information more useful, more personalised and easier to act on.

The problem with destination information

Most destinations already have huge amounts of useful information. The problem is that it is often scattered.

There are web pages, PDFs, event listings, accommodation directories, walking routes, accessibility notes, visitor guides, business contacts, photography folders, research reports, campaign plans and local knowledge sitting in different places.

Some of it is public. Some of it is internal. Some of it is out of date. Some of it is hard to find.

For visitors, this creates friction. For staff, it creates duplication. For businesses, it creates missed opportunities.

A visitor might want a simple answer: “What can I do with two children, a dog and one rainy afternoon?” But the answer may be hidden across multiple pages, business listings and local recommendations.

AI can help turn scattered information into something more usable.

The AI destination knowledge base

One of the most practical uses of AI in tourism is not glamorous. It is knowledge management.

Imagine a destination team with an internal AI assistant trained on approved information. Staff could ask questions such as:

“What family-friendly activities are available near the coast in October?”

“Which images do we have for winter walking?”

“What are the key visitor economy figures from the latest report?”

“Which businesses offer outdoor activities?”

“Find content we can use for a food and drink campaign.”

This is not about using AI to write generic slogans. It is about helping small teams access their own knowledge quickly and consistently.

For rural destinations, where teams are often stretched, that could be genuinely useful.

Visitor-facing AI

The next step is visitor-facing AI.

Imagine arriving on a destination website and asking:

“I’m visiting for three days with my partner. We like independent cafes, short walks, local food, sea views and places that are not too busy. Can you build us an itinerary?”

A traditional website can provide all the ingredients, but the visitor still has to do the work. An AI assistant could turn those ingredients into a personalised plan.

It could suggest where to go, how long to spend there, what to book, where to eat nearby and what to do if the weather changes. It could also guide people towards quieter areas, shoulder-season events and local businesses that need more visibility.

That is where AI becomes more than a novelty. It becomes part of the visitor experience.

AI can support local businesses

Small tourism businesses are often expected to do everything. They serve customers, manage bookings, clean rooms, prepare food, maintain websites, post on social media, answer enquiries and somehow keep up with marketing trends.

AI could help here too.

A destination-level AI tool could support businesses with practical questions:

“How can I promote a winter offer?”

“What should I post this month?”

“How do I improve my Google Business Profile?”

“What events are happening nearby that I can link to?”

“How can I attract families outside the summer holidays?”

This kind of support would not replace business advice, but it could give small operators faster access to useful guidance.

It also shows how destination marketing and business support are becoming more connected.

AI will not fix weak strategy

There is a danger in all of this. AI can make weak marketing faster.

If a destination does not know who it is trying to attract, what it stands for, which businesses it wants to support, what visitor behaviour it wants to encourage or how success will be measured, AI will not solve the problem.

It may simply produce more content with less thought.

The value of AI comes when it sits inside a clear strategy. The human work still matters: local knowledge, cultural understanding, language, community trust, editorial judgement and brand direction.

AI should support that work. It should not flatten the place into generic travel copy.

Smaller destinations can move faster

Large tourism boards may have bigger budgets, but they also have complex systems and slower decision-making. Smaller destinations have a different advantage: agility.

They can start with practical projects. An internal knowledge base. A better image library. A simple visitor itinerary assistant. A business support tool. A dashboard that connects web, social and visitor data.

None of this has to happen overnight. The first step is to organise the information properly and identify the real problems AI could help solve.

The worst approach would be to chase technology for its own sake. The best approach is to ask: “Where are visitors, businesses or staff currently struggling, and could AI make that easier?”

The future tourism website may not feel like a website

Destination websites will still matter, but the way people use them will change.

Visitors increasingly expect specific answers, not generic pages. They want planning support, recommendations and confidence. They want the destination to understand their needs.

That is the real AI opportunity for tourism.

Not replacing the beauty of place. Not replacing people. Not replacing local stories.

But making the destination easier to understand, easier to explore and easier to support.

The next great tourism website may not feel like a website at all.

It may feel like a conversation with the place.