--- title: How AI Is Changing Destination Marketing — and What It Means for Small Businesses description: Discover how AI is transforming destination marketing, creating new opportunities for small businesses to thrive in the evolving tourism landscape. image: https://www.tahpin.com/hubfs/AI%20and%20destination%20changes.png --- [![logo-1](https://www.tahpin.com/hubfs/logo-1.png)](https://tahpin.com) ![menu](https://f.hubspotusercontent40.net/hubfs/7479797/menu.png) ![close\_24px](https://7479797.fs1.hubspotusercontent-na1.net/hubfs/7479797/close_24px.svg) [Sign In](https://app.tahpin.com/login) [Sign Up](https://app.tahpin.com/signup) [Articles](https://www.tahpin.com/tahpins-journeys/tag/articles) # How AI Is Changing Destination Marketing — and What It Means for Small Businesses [Tahpin Inc.](https://www.tahpin.com/tahpins-journeys/author/tahpin-inc) 13 October, 2026 ![](https://www.tahpin.com/hubfs/AI%20and%20destination%20changes.png) A traveler arrives in a city they have never visited before. They have a few hours before dinner, no fixed plan, and a simple hope: to find something that feels local, memorable, and worth the time. A few years ago, that traveler might have opened Google, searched “things to do near me,” clicked through several websites, compared reviews, checked a map, and slowly built their own plan. Today, the same traveler can ask an AI assistant a much more personal question: “I have four hours, I like independent cafés, local art, and quiet neighbourhoods. Where should I go?” Within seconds, the assistant can produce an itinerary. That small change in behaviour points to a much larger shift in tourism. The battle for visitor attention is no longer happening only on search-result pages, social media feeds, tourism websites, or map listings. Increasingly, it is happening inside AI-generated recommendations. For small businesses, this creates a new reality: being discovered may depend not only on whether a traveler walks past the door, but on whether technology can understand, trust, and recommend the business in the first place. #### The numbers show that discovery is changing Canada’s tourism economy is large enough that even small changes in visitor behaviour can have wide consequences. In 2025, domestic and international visitors spent approximately **$140.5 billion**, while tourism supported roughly **280,000 businesses across 5,000 communities**. Almost all of those businesses are small or medium-sized. That matters because tourism dollars do not land evenly. They move through hotels, restaurants, attractions, transportation providers, shops, guides, cultural spaces, parks, neighbourhoods, and local experiences. If AI begins shaping which places travelers see first, then AI also begins influencing where spending, attention, and opportunity go. Travelers are already experimenting with these tools. Booking.com’s global research involving more than 37,000 consumers found that **67% had used AI during some part of their travel experience**. Among those who used it, travelers turned to AI to research destinations, discover cultural activities, find restaurants, and navigate unfamiliar places. Even more importantly, **89% said they were interested in using AI for future travel planning**. Destination marketing organizations are also responding. A 2026 survey of more than 350 destination marketing organizations found that roughly **two-thirds were already using AI for content creation**, while the share using AI for data analysis increased from **28% to 51% in a single year**. The question is no longer simply whether AI will influence tourism. It already is. The more important question is: **who will AI help travelers discover?** #### AI does not search the way people search Traditional search gives travelers options. A person looking for “restaurants in the Junction” may see pages of results and decide which websites to open, which reviews to trust, and how far down the list to explore. Generative AI behaves differently. A traveler may ask, “Find me three locally owned restaurants within walking distance that offer something unique to Toronto.” Instead of showing dozens of links, the AI may return three or five recommendations. That shift matters because AI is not just helping travelers search; it is helping them filter. Recent academic research into AI-mediated tourism discovery describes these systems as creating **bounded recommendation sets**. In simple terms, AI may narrow the field before the traveler ever sees it. Being ranked tenth in a traditional search could still create visibility. Being absent from an AI-generated shortlist may create none. For small tourism businesses, discoverability is therefore evolving. It is no longer enough to simply be online. Businesses also need to be understandable, credible, specific, and recommendable by machines as well as humans. #### This shift creates an opportunity for small businesses At first glance, AI may seem like another advantage for large organizations with bigger budgets, stronger content teams, and more sophisticated marketing systems. But the opportunity for small businesses is more nuanced. A traveler asking for “a family-owned bakery known for local ingredients” is expressing intent differently from someone typing “bakery Toronto.” The more specific the question becomes, the more room there is for a distinctive local business to appear because of what makes it special, not only because of how much it spends on advertising. This could be important in Canadian tourism, where more than **99% of tourism businesses are small and medium-sized enterprises**. Many of these businesses are deeply rooted in local communities, but they may not always have the visibility or digital infrastructure to compete with larger operators. AI has the potential to connect travelers with businesses they might otherwise never encounter. But there is a catch: AI cannot recommend what it cannot confidently understand. #### Visibility now depends on information quality For small businesses, AI presents a contradiction. It may reduce some marketing barriers, but it also creates new expectations. Canadian businesses are adopting AI quickly. Statistics Canada reported that **19.2% of businesses used AI to produce goods or deliver services in 2026**, up from **6.1% in 2024**. Among businesses planning to use AI, common applications include data analytics, large language models, chatbots, and marketing automation. There may be efficiency gains, but adoption is not free. In 2026, **10.6% of Canadian businesses identified the cost of using AI as a barrier**, while privacy and cybersecurity concerns were cited even more frequently. For a five-person attraction, family-run restaurant, independent retailer, or local café, the most practical question is not, “Should we build our own AI?” The better question is, “How do we make the information we already have work harder?” That means keeping opening hours accurate, improving business descriptions, maintaining strong photos, responding to reviews, clearly explaining accessibility and services, publishing authentic stories, and ensuring trusted local websites and destination partners have accurate information about the business. The investment is increasingly in **information quality**, not simply advertising volume. #### The next stage is not only search engine optimization For years, businesses learned the language of search engine optimization. Keywords mattered. Links mattered. Rankings mattered. Those things still matter, but AI adds another layer: context. An AI assistant trying to recommend a business needs to understand more than a name and address. It may need to know what makes the business special, who it is appropriate for, whether it is locally owned, whether it is accessible, what experiences it offers, what visitors consistently say about it, whether the information is recent, and whether other trustworthy sources support those claims. This changes the value of content. A beautifully designed website filled with vague phrases like “an unforgettable experience” may be less useful than clear information explaining exactly what the experience is, who it is for, and why it matters. The future of destination marketing may reward businesses that tell specific, truthful, and well-structured stories. #### Discovery has a social consequence This conversation is not only about technology. It is also about how tourism value spreads through communities. Popular attractions can become overcrowded while independent businesses only a few streets away remain invisible. Travelers may visit the same restaurants, photograph the same viewpoints, and follow the same itineraries because recommendation systems reinforce what is already popular. AI could make this worse. But it could also help change it. Booking.com’s research found that **71% of travelers appreciated AI recommendations that could help them avoid overcrowded destinations or peak periods**, while **60% wanted AI to highlight experiences that positively benefit the communities they visit**. That opens an important possibility. Instead of simply answering, “What is the most popular restaurant?” an AI travel assistant could respond to a more thoughtful request: “Show me an independent restaurant nearby, introduce me to the story behind it, and recommend another locally owned business I can walk to afterward.” In that version of the future, destination marketing becomes more than promotion. It becomes **demand distribution**. Visitors discover more. Smaller businesses participate in more of the tourism economy. Neighbourhoods outside traditional tourism corridors gain exposure. Travelers experience something closer to the community itself. #### Human trust still decides the experience There is a temptation to treat AI adoption as proof that travelers are ready to hand over the entire journey to technology. They are not. Booking.com’s research found that only **6% of respondents fully trusted AI**, while only **12% were comfortable allowing AI to make decisions independently**. Travelers appear to want assistance without surrendering judgment. That distinction matters for destination marketers and small businesses. AI may help someone discover a café, but the owner remembering their name creates the relationship. AI may recommend a local artisan, but hearing that artisan explain their craft creates the memory. AI may build the itinerary, but the destination still has to deliver the experience. Technology can shorten the distance between traveler and community. It cannot replace what happens when they meet. #### What small businesses should do now Small businesses do not need to become technology companies to participate in this shift. They need to become easier to discover, understand, and trust. The practical work begins with the basics. Business names, locations, hours, contact details, services, and offerings should be consistent across websites, maps, directories, and social platforms. Descriptions should be written in plain language, making it clear what the business offers, who it is for, what makes it local, and why a visitor might choose it. Credibility will also matter. Authentic reviews, partnerships, local media coverage, and inclusion on trusted tourism or community websites can all help strengthen the signals that both people and AI systems use to assess relevance. Useful storytelling also becomes more important. Businesses should publish stories about their craft, neighbourhood, history, people, and experiences, because good storytelling helps travelers understand the business and gives recommendation systems stronger context. Finally, businesses should work collectively. A single small business has limited reach, but a connected network of attractions, restaurants, retailers, municipalities, and destination organizations creates a richer information ecosystem. #### The destination itself is becoming a network AI changes destination marketing because travelers do not always think in business categories. They ask questions around intent. “What should I do this afternoon?” “Where can I take my grandchildren?” “Show me something locals love.” “I don’t want a tourist trap. Where should I eat?” “Build me a walking route with three interesting stops.” Those questions cross traditional boundaries. A park can lead to a café. A café can lead to a gallery. A gallery can lead to a restaurant. A restaurant can lead to an evening event. This is where destination organizations, business associations, municipalities, and digital platforms have an opportunity to rethink their role. Instead of only promoting individual listings, they can help create connected journeys that give AI, and ultimately travelers, a better understanding of the entire community. #### What discovery may mean next For decades, destination marketing asked, “How do we convince someone to visit?” AI introduces another question: “Once they arrive, how do we help them discover more?” That question could be especially powerful for small businesses. Canada already has extraordinary local operators, artisans, restaurants, attractions, and experiences. The problem is often not that they lack value. It is that travelers do not know they exist. AI does not automatically solve that problem. Recommendation systems can amplify bias, favour businesses with stronger digital footprints, repeat inaccurate information, or concentrate attention around places that are already popular. But properly designed destination ecosystems can move in a better direction. They can make trusted local information easier to access, connect businesses instead of isolating them, guide visitors toward communities that benefit from additional tourism, and help smaller businesses become part of journeys they might previously have been invisible to. That may be AI’s most interesting contribution to destination marketing: not creating another advertisement, not replacing tourism professionals, and not telling travelers where they must go, but helping someone standing in an unfamiliar place ask, “What might I discover here?” — and giving the small business around the corner a genuine chance to be part of the answer. #### A Few Numbers Worth Remembering | Indicator | Finding | | --- | --- | | Visitor spending in Canada, 2025 | **$140.5 billion** | | Tourism businesses across Canada | **~280,000** | | Tourism businesses that are small or medium-sized | **99%+** | | Global consumers who have used AI during some part of travel | **67%** | | Consumers interested in using AI for future travel planning | **89%** | | Travelers wanting AI to surface experiences benefiting local communities | **60%** | | Travelers appreciating AI recommendations that help avoid overcrowding | **71%** | | Canadian businesses using AI in 2026 | **19.2%** | | Canadian businesses planning AI use over the next 12 months, Q3 2026 | **25.2%** | | Destination marketing organizations using AI for content creation | **~2 in 3** | | Destination marketing organizations using AI for data analysis | **51%**, up from 28% | Previous Post ###### [A Weekend Getaway in the Heart of the City: Bronte Creek Provincial Park](https://www.tahpin.com/tahpins-journeys/a-weekend-getaway-in-the-heart-of-the-city-bronte-creek-provincial-park) **Our Value** Tahpin offers a platform that connects engagement with long-term human and community development. 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