The Way Customers Find You Is Changing

Transcript

Maya: Welcome to Accelacore AI Discovery, the show about how AI is changing the way customers find the professionals they choose to do business with. I'm Maya, and today I'm talking with Sean Pan, the CEO of Accelacore AI, about something he calls the Invisible Professional.

Let me start with a question. If I asked ChatGPT, "Who is the best Realtor in my area?" or "Who is a good insurance agent I should talk to?" how does the AI decide who to recommend?

Sean: That is the question. Most businesses assume the answer is basically Google: who ranks highest, has the best website, or has the most reviews. But AI has to find information about you, make sense of it, decide whether it can trust it, and determine whether to include you. That creates an entirely new problem: the right business may never make it into the answer.

Maya: So a business can be excellent at what it does and still effectively not exist to the AI.

Sean: Absolutely. That is what we call the Invisible Professional.

Maya: Sean, this is our first episode. Before we get into GEO or any of the terminology, why does Accelacore exist? What did you see changing?

Sean: For twenty years, the model was straightforward. We went to Google, opened websites, read reviews, compared options, and made the decision. AI changes that relationship because it can help do the research itself. We are moving from "help me find information" toward "help me decide."

Maya: But people still use Google. Is this really a fundamental change yet?

Sean: Google is not disappearing. Another discovery behavior is developing alongside it. Instead of typing "Atlanta Realtor," someone can ask, "I am moving to the Atlanta area with two kids. I want good schools, a reasonable commute, and a home around eight hundred thousand dollars. What communities should I consider, and which Realtors should I talk to?" That is not simply a search. It is a conversation in which the AI understands more about what the customer actually needs. The AI can understand the need, compare options, and increasingly recommend what to do next. AI is becoming part of the path between the customer and the decision. I call that AI-assisted discovery.

Maya: What happens if you are the business that should have been recommended, but you are not?

Sean: That is the problem. Imagine a Realtor with fifteen years of experience, a great reputation, and hundreds of successful sales. AI does not experience that reputation. It builds a picture from the information it can find: websites, profiles, reviews, articles, directories, independent mentions, and the words customers use. It must also recognize that all of that information belongs to the same person.

Maya: So real-world reputation and machine-visible reputation are not necessarily the same thing.

Sean: Exactly. You can be highly visible to people who already know you and nearly invisible to an AI system trying to discover you.

Maya: And that is where the phrase "Invisible Professional" came from.

Sean: Yes. We found capable professionals whose expertise was not represented in a way AI could confidently use. They are invisible because the machine cannot answer four questions: Who is this person? What are they actually good at? Why should I trust that? And when should I recommend them?

Maya: That is more nuanced than simply asking whether someone appears in ChatGPT.

Sean: Much more. Presence is one measurement. Understanding is another. Recommendation is another. They are not the same thing.

Maya: That brings us to GEO. What exactly is it?

Sean: GEO stands for Generative Engine Optimization. In everyday terms, it means helping AI find accurate information about a business, understand what that business does, and know when it may be a good answer for a customer. I do not like calling it "SEO for ChatGPT," because that makes it sound like another race to rank number one. AI creates an answer by finding information, connecting the pieces, comparing what it finds, and deciding what is useful. So the better question is not, "How do I rank first?" It is, "Can the AI understand enough about me to confidently use me in the answer?"

Maya: Let me challenge that. Every shift in digital marketing seems to produce another acronym. SEO, A-E-O, GEO. How does a business owner know this is not simply the next buzzword?

Sean: That is fair. The answer is not the acronym. it is the behavior. Are customers beginning to ask AI questions they once would have asked Google? If so, what information is the AI using? Who is it finding? Who is it recommending? Why? And what does it know about your business? That problem exists regardless of what we call it. GEO is simply the name we use for understanding it and helping businesses improve.

Maya: So the behavior came first. The acronym just gives the problem a name.

Sean: Exactly.

Maya: Where does Accelacore fit?

Sean: Accelacore is the practical side of the research. Every week, we ask ChatGPT, Claude, Gemini, and Perplexity the real questions a customer would ask, by your name, by your brand, and by no name at all, just the open question. "Who should I list my house with in this neighborhood?"

Maya: And they do not all say the same thing.

Sean: Not even close. One platform might get your name and your brokerage right. Another might not mention you at all. A third might recommend someone else entirely. That gap is the whole business. Underneath it, we are really asking three things. Does AI know who you are and get the facts right? What does it say about your brand? And when a customer asks who to hire, does it actually recommend you? Most tools like this are built to watch a company website. We watch you, the individual a customer is actually deciding whether to trust.

Maya: So it is not just another score.

Sean: Right. A visibility score without an explanation is not useful. A professional needs to know what AI found, why it happened, and what to do about it.

Maya: You clearly have more than three questions' worth of research here. Are you about to give us the full lecture?

Sean: Not today.

Maya: Good.

Sean: But underneath those three questions is real mechanics. Can AI even find accurate information about you in the first place? Most professionals' identities are scattered across a dozen sources that do not agree with each other. Does AI trust what it finds? Can it connect all of that back to one coherent person instead of a handful of fragments? Get any of that wrong, and the recommendation never happens. That is the foundation. We will unpack it piece by piece in future episodes.

Maya: If I run a business, how urgent is this? Do I need to panic about GEO tomorrow morning?

Sean: No. Panic creates bad decisions. The technology will change, but the direction is clear: AI is becoming part of how people research products, companies, and professionals. The opportunity is not to chase tricks. It is to make sure the information people and AI find online reflects the business you have built. A clear identity. Relevant experience. Trustworthy information. Useful content. The authentic language of your customers. Those things matter today and will matter even more as AI discovery grows.

Maya: If Episode One is "the way customers find businesses is changing," where do we go next?

Sean: Now we take the system apart. How does AI decide whom to recommend? Why do some professionals appear while others do not? Do reviews and websites still matter? Which sources does AI trust? Can we measure whether a business is being found? And we will examine real businesses by asking, "Why did the AI recommend these people and completely miss this one?" Then we will investigate what happened.

Maya: Good. That is exactly what we are going to do. I am Maya. This is Accelacore AI Discovery. Sean, thanks for being our first guest.

Sean: I had a feeling I was going to be.

Maya: CEO privileges. We will definitely have you back. And to everyone watching, we will see you in the next episode.