AI Can’t Recommend What It Can’t Read

One of the most common questions customers, destinations, and community leaders ask us these days is, "How do we show up when people are asking AI instead of Googling?" It's a fair question, and increasingly, it's the question. What we're seeing right now feels like one of the bigger shifts in how people actually find and experience a place.

Simply put, the way people discover destinations is changing. For decades, the internet worked like a giant directory: people searched, clicked through a handful of links, compared their options, and made their own call. Increasingly, they're just asking for the answer outright: Where should I go for dinner tonight? What's happening downtown this weekend? Where's a coffee shop with outdoor seating? The recommendation itself has become the destination.

That's a real challenge for communities, but maybe not the one you'd expect. Most destinations aren't short on great places. They're short on documented places. Every community we've worked with has incredible stories, businesses, and experiences, and the gap is whether those stories are organized in a way that people, and now AI, can actually find them.

Because AI can't recommend what it can't understand.

There's the place locals know: the coffee shop with the hidden patio, the bookstore that hosts an author every month, the restaurant where the owner remembers your name, the park where families gather for free summer concerts. And then there's the version of that place that exists online.

Too often, those two don't match. Locals hold the knowledge that makes a place special, but it's scattered across social posts, half-updated websites, directories, and word of mouth. Humans are remarkably good at filling in those gaps intuitively. AI is not. It can only work with what it can actually find, parse, and trust. Closing the distance between what locals know and what the internet knows is, we think, the real work ahead for destinations.

For almost two decades, digital visibility meant SEO: keywords, backlinks, a slow climb up the search results. That world hasn't disappeared, but something new has opened up next to it. Traditional search hands someone a list of options. AI hands them a recommendation. The difference sounds subtle, but it changes everything about what "visibility" means.

AI isn't just scanning for keyword matches. It's building something closer to a mental model of a place: this café has outdoor seating, this event happens every Thursday, this brewery hosts live music, this bookstore is a short walk from the theater. That's actually how people experience destinations too. We don't move through a city as a set of disconnected listings; a great evening downtown is dinner before a show, a drink after, a walk through the neighborhood, something unexpected along the way. AI is trying, in its own way, to understand those same connections. Destinations just have to help it get there.

We like to think of structured data as a kind of shared language between a destination and the systems trying to understand it. A business listing isn't just a name and an address; it's a story, and the details are what make that story legible. "Locally owned café, outdoor seating, vegetarian menu, live acoustic music Thursdays" tells AI something a bare address never could.

This is exactly the challenge we've built Vibemap around: combining geolocated data with the small, specific details that locals know intuitively and the internet usually doesn't, like dog-friendly, free, family-friendly, accessible, or outdoor seating. Standardizing that information, describing every business and event the same way, is what turns a single website into hundreds of discoverable entry points instead of one.

A destination's web presence isn't really a homepage anymore. It's an ecosystem of thousands of possible doorways: every business listing, every event, every experience is its own entry point. Think about how specifically people search now: Where can I take my dog this afternoon? What's free for families this weekend? What's open late after the show? Specific questions need specific answers. If a restaurant is dog-friendly but that fact only lives in the heads of its regulars, AI has no way to surface it, and neither does the family searching for exactly that.

Events matter more than most destinations give them credit for, because they're proof of life. A homepage is static by nature. An events calendar is never static: new events, new relevance, new reasons for people (and for AI) to keep coming back to it. A farmers market, a gallery opening, a concert in the park; these aren't just calendar entries, they're the moments a community actually comes together. Destinations with living, connected event ecosystems give both visitors and AI a far richer sense of what makes the place worth showing up for.

A handful of patterns show up again and again:

Information goes stale. Hours change, events move, businesses open and close, and keeping up with it by hand is genuinely hard for a small team managing hundreds of listings.

Places and events live in separate silos. Visitors don't think in categories: "now I'm at a restaurant, now I'm at an event." They think "I'm spending an evening in this neighborhood." The most useful data connects the places, people, and moments that make up that evening.

Listings stay thin. A name and a phone number aren't enough anymore. The listings that actually perform carry real texture: hours, amenities, accessibility, photos, nearby context.

Everything depends on manual updates. No team can realistically maintain a living digital ecosystem through spreadsheets alone. Automating the repetitive parts frees people up for the relationships and storytelling that actually need a human.

AI isn't replacing destination marketing. It's changing how people find their way into a place. The communities that do well here won't be the ones who create the most content. They'll be the ones who make their local knowledge visible, structured, and connected: the relationships between businesses and neighborhoods, between events and people, between the places locals already love and the visitors who haven't found them yet.

That's the problem Vibemap has been focused on from the start: helping destinations organize what makes their community special so it can actually be discovered, by people, and increasingly, by the systems recommending places on their behalf.

If you'd like to see what that could look like for your destination, schedule a call with Gabriella, our Director of Strategic Partnerships.