Be the recommendation, not an option: how the buying decision changed in the age of AI

Picture this. An acquaintance, not someone really close, finds out that you're looking for someone for something. I don't know what your situation is — whether you're looking for a partner, friends, customers, or someone to complete your padel team. Doesn't matter.

The thing is, this acquaintance shows up and says: "Hey, I heard you're looking for someone. I have these 3 options with info on each one, I'll send you the contacts and you decide". A minute later someone who knows you well shows up — a family member, a close friend — and says: "I'm going to introduce you to someone perfect for what you're looking for. I immediately thought of you".

Which of the two recommendations attracts you more? If you're like most people, the second one. And it's not opinion. It's documented behavior.

Why your brain prefers the second option

A Nielsen study, cited year after year in consumer behavior research, found that 92% of people trust recommendations from people they know above any other form of advertising. It's one of the most solid pieces of data in modern marketing.

The reason is simple and very human. When someone who knows you recommends something, they do two things at once: they save you the work of comparing options, and they give you an implicit guarantee that the person or product will work for you, not for some generic someone.

That combination —time saved plus a personal guarantee— is hard to resist. So hard that, in many cases, you don't even check the other alternatives. You accept the recommendation and move on with your day. This has always been the case. What changed isn't the mechanism. What changed is who makes the recommendations.

Three years ago, we all did the same thing

Let me explain. Three years ago it was normal to go into Google and type, for example, "best coffee makers". And Google would show you a list of links where we could see the necessary information and choose. We mastered that technique. We used it for over 20 years. Not anymore.

Now I can go into ChatGPT and ask it to recommend a coffee maker. And I know it'll do it well because it knows me and knows that I drink espresso in the morning, that in the afternoon I prefer a well-filtered V60, and that at home we don't have room for a big machine. I don't have to explain any of that, because we've talked about coffee before.

Not only that. ChatGPT will tell me something like "this is the perfect coffee maker for you" or "these are the three best options, but I recommend the first". And you know what? I'll probably buy the first one. And so would you.

The AI knows you better than your mother

And here's the uncomfortable part. The AI you usually use knows you better than most people. It knows how you talk, what you do for work, what you like and what you don't, your hobbies, your projects, and you may even have shown it your blood tests or your financial statements. If you add that it almost always agrees with you, you'll trust it more than your mother.

This isn't an exaggeration. It's the real dynamic happening inside millions of conversations with AI every day. And that's why, when ChatGPT tells you "I recommend the first one", it doesn't feel like an abstract suggestion. It feels like the advice of someone who knows exactly what you need. Even if there's no one on the other side. Even if it's just a system that connected the clues you yourself gave it over months.

The acquaintance and the close friend are now different tools

Back to the opening metaphor: when your customer asks Google, they get the acquaintance's answer. A list of options, info on each one, "you decide". Useful, but impersonal.

When your customer asks ChatGPT —or Claude, Gemini, Perplexity— they get the close friend's answer. A specific recommendation, with reasons, with a "this is going to work for you". It's the difference between a list and an endorsement. And you already saw the data. 92% of people react better to the second one. Not because they're easily influenced. Because that's how our brain is wired to make quick decisions.

This changes everything. And it changes it in a direction most companies still aren't looking at head-on.

The difference worth real customers

I don't know if you're seeing what I'm seeing, but this is something really powerful. Because it doesn't only mean your customers aren't searching on Google anymore. It also means that even if you appear among the options, they won't consider you the same way unless the AI recommends you.

To show you how far this goes, a recent study by the Interactive Advertising Bureau (IAB) found something that two years ago would have sounded like science fiction: among consumers who use AI to buy, AI is already the second most influential source in their purchase decisions — even surpassing recommendations from friends and family. Read it again. AI already weighs more than a friend recommending something face to face.

The difference between being an option in a list and being the direct recommendation is worth real customers. Let's do the math together. If your company appears in position three of a Google list, you still have a shot — the customer can compare and choose you. If your company appears as the second option in a ChatGPT recommendation, the shot is much smaller — because ChatGPT, as I said before, usually says "I recommend the first one". And most people listen.

If your company doesn't appear in the AI's recommendation at all, it isn't that you lost an opportunity. It's that you didn't even enter the conversation. For that customer, that day, you don't exist.

Why some companies are the recommendation and others aren't

Here's the part that matters. It isn't an accident that ChatGPT recommends some companies and not others. It isn't magic or luck either. It's specific work.

This has a name, and I've covered it in detail in other articles: GEO, Generative Engine Optimization. It's the discipline of getting AI engines to mention and recommend your company. It isn't advertising. It isn't PR. It's technical and content work that few agencies in Mexico are doing well yet.

But even before talking about how it's achieved, it's worth answering a more basic question: today, is your company the option in the list the acquaintance sends, or the recommendation from someone who says "I immediately thought of you"? If you don't know, you can't make any informed decision about it.

The most uncomfortable part of all this

I'll say it directly, because it's the part that bites the most. The companies that are already the direct AI recommendation today aren't, necessarily, the biggest or the best-known. Often they're the ones who understood early that the map changed and started working on this while others were still arguing whether AI "was a fad".

Meaning: the window to enter this conversation —to become the direct recommendation, not just one more option— is still open. But it won't stay open forever. Every month that passes, more companies move, and every company that moves takes one of the available spots. The cost of doing nothing today isn't staying the same. It's seeing, a year or two from now, your competition be the recommendation your customer accepts without checking the alternatives. And by then, your only option to return to the conversation will be to pay much more for much less ground.