AI Is Building a Competitive Set Most Business Owners Have Never Seen

Business owners know their competitors. They know who bids the same projects, ranks on the same keywords, works the same referral circles. What most of them don't know is who AI thinks their competitors are. Ask ChatGPT or Gemini for a recommendation in a given category and the model returns a set, and that set may only partly overlap with the one the owner carries in their head. A buyer asking AI never sees the owner's competitive map. They see the model's, and they act on it.

Alicia Farman, president of Lux Networking, runs a business networking community in Naples, Florida, connecting business owners and decision makers through curated in-person events. She also advises small businesses and tradespeople across Southwest Florida on marketing and AI adoption, giving her a firsthand view of both sides of the shift.

The competitive set you don't know about

Farman tells clients to interrogate the model directly about the market they're in. "Always ask about your competition," Farman says. "How does my competition add up to me? If they're utilizing it and you're not, where are you going to be?" The exercise tends to return names the owner didn't expect. An owner can map the firms they know they compete against and still watch the model hand back a different list, one built from whatever the web makes visible about each business.

The competitive landscape is no longer set only by who an owner thinks they compete with. It's increasingly influenced by which businesses the wider web makes visible to a model. "Or competitors that you don't even think of that are close to what your business is," Farman says. A company that never registered as a threat can sit at the top of the answer a prospect reads, and the owner who hasn't run the query has no idea which version of the market their buyers are being handed.

Getting named isn't getting trusted

Landing in the consideration set is the first layer. What comes next is human, and it's moving in the opposite direction. As AI-generated content floods the same channels that surface those recommendations, the thing that helps close a prospect is increasingly proof that a real person is behind the business. AI decides who gets considered, but people still decide who gets believed.

It shows up all over Farman's network. "People want to see you make mistakes," Farman says. "They want to see you maybe not as dressed up and manicured. They want to see the real you." Over the past year she's watched owners who film themselves on their phone cameras, without production polish, pull stronger engagement than the ones running glossy creative. The filters that once read as aspirational now read as something to hide behind.

That fear is also driving people back to meeting in person. Farman's events have seen attendance climb as AI-driven communication becomes the default, and the driver isn't nostalgia. "People are really scared to not know whether you are a real person if they've never met you in real life," Farman says. As more business communication becomes AI-mediated, the handshake does something the feed can't.

Where AI earns its keep

When owners are ready to use AI themselves, Farman's approach is the opposite of transformation. She starts with repetitive work that already has a defined process, and reporting is her clearest example. Analytics update on a set schedule and reach the client without anyone assembling them by hand. She runs them weekly rather than daily, on the logic that the data needs room to move before it means anything. "I feel like you got to give it a little bit of time to work and see how it's flowing through," Farman says. The payoff is less the numbers than the rhythm: the client gets them the same day every week, and knowing they're there settles the account.

That's the level at which she wants most small businesses to start. Not with an AI overhaul, but with one repetitive task that can be handled better or faster. Owners who haven't begun can start with the tools already in front of them, asking the AI summary in a Google search or Gemini how it might improve a process they already run. "How do you eat an elephant? One bite at a time," Farman says. "Just start something small, but just start."

The point isn't to turn the business into an AI operation. It's to start paying attention before AI starts shaping the business from the outside.