What Is AI Marketing? Don't Be in a Hurry to Define It

Yesterday I had dinner with a friend who works in advertising. He took a sip of his drink and suddenly said something that stopped me cold:

"When we hire people now, the first question isn't how well you write copy. It's whether you know how to divide the work with AI."

I asked him why. He turned it back on me: "When's the last time you scrolled to the second page of a search result and actually clicked through to the second link?"

I couldn't answer.

Right. The answer has quietly changed. These days, when people look for answers, a lot of them aren't "looking" anymore — they're "asking." The material no longer sits in front of you as a row of links waiting to be clicked one by one; it's an agent that digests hundreds of articles and hands you a solid answer of a few hundred words.

This is the quietest — and the most brutal — change of the past two years. So quiet you almost didn't notice it happening.

What Is AI Marketing?

Put simply, it's marketing moving from "people set up the battle plan, machines take orders and do the work" toward "people and machines make decisions together."

Don't think of it as tossing a document into a machine and letting it spit out a few ad slogans — that's the old way of doing things. Over these past two years, the whole approach has been shifting lanes.

Let me break it down into three things, and it'll make sense.

First, AI ad campaigns.

In the past, an ad campaign — from kicking off, watching the data, tweaking the creative, to seeing the results — always took at least a few weeks. Today? AI can start adjusting itself the day a campaign goes live. Headlines, visuals, bids — it changes them as it runs, while people step back to the sidelines and act as referees.

Fast, for sure. And often more accurate too, because machines don't sleep and don't get bored. For the same creative, it's happy to run through a hundred versions over and over. From merchants on big platforms to the most elite global brands, money is flooding into this line.

Slowly you realize the test for companies is no longer just "can you run ads," but "do you have a system that lets AI run them for you." Everyone has the tools. What actually separates people is who gets the machine fed and running first.

Second, AI agencies.

Recently a wave of dedicated AI agencies has popped up in the market. From creative production to audience targeting, the whole chain has been rebuilt to be AI-first.

Why do they survive? Because the old playbook — "two weeks of research, an afternoon of gut-feel decisions, three months of watching the spend" — can no longer keep up with today's pace. Whoever decides fastest gets ahead. What these AI agencies earn is exactly this layer of "speed advantage" and "system advantage."

Put plainly, they're not selling you a tool. They're selling a playbook for "letting the machine predict and test for you."

Third — and the one worth thinking about most: GEO.

What is GEO? It's a new term that grew up right next to SEO. SEO is about getting your content to rank higher in that list of search-engine results. But as I said earlier, more and more people aren't flipping through lists at all — they just open a chat box and ask a generative engine.

So the question becomes: how do you get AI to mention you, right there in its answer?

That's GEO — Generative Engine Optimization. It's "presence" designed for the machine.

Before, traffic came in through the search box. Today, traffic is starting to come through the "question box." Whoever gets brought into the context of an AI's answer is guarding the next entry point. You can ignore it for now if you like, but you can't pretend it isn't changing.

Go with that momentum and you'll also see conversational AI and AI agents. That little customer-service box on websites — the one that used to know nothing, that could only shove FAQs at you — can now read a whole product document and get the work done properly at three in the morning when nobody's on duty.

Content production is the same. In the past, cutting a video took a team: script, voiceover, editing. Now "from one sentence to finished video" tools are already good enough that one person can keep up the pace of a whole production line.

You'll notice these things live scattered across different departments and different tools, but underneath they're the same one thing: marketing is shifting from "consuming manpower" to "stacking intelligence."

So Where Do I Start?

I get asked this a lot by friends.

I don't have a single starting point that works for everyone. But there's a clumsy method that's pretty effective: pick one repetitive job AI should carry for you, and hand it over.

Like rewriting a hundred versions, watching data all night, or answering the same question eight hundred times. Don't try to build a whole system at once — start from a single point, get it running, let yourself truly feel "it's saving me time," and the next steps naturally have something to talk about.

Because a trend is something you can understand without necessarily keeping up with it. Understanding is only the entrance ticket; actually running is what gets you in the game.

Of course, the road isn't all smooth sailing. However fast machines get, they can't replace the judgment of "where we should aim." What they take over is the legwork — not the direction. Deciding which customers to protect, which market to bet on — that's human work. The more AI accelerates, the more expensive that answer to "which way are we steering" becomes.

As I was saying goodbye to the friend from the start, he said something I still remember to this day:

"In the past we competed on who ran faster. Now we compete on who figures out first where to run."

I said: that's not anxiety. That's people taking one more step forward.

May you, in that sea of headlights, recognize which road is the one you truly need to drive.