In a world once ruled by search engines and algorithms, a new force is quietly changing the game: large language models.

Unlike traditional search, which shows you a ranked list of results based on keywords, backlinks, and ads, LLMs operate in a completely different way. They don’t search—they synthesize. They don’t index—they remember patterns. And most importantly, they don’t push what’s popular—they suggest what works.

This is where the concept of LLM marketing comes in.

It’s the practice of embedding your product, service, or idea into the fabric of language itself—through clear articulation, meaningful context, and genuine utility. Not to manipulate, but to earn a place in the model’s understanding of reality.

It’s not like trying to game an algorithm. It’s like earning trust from a collective mind.

I once developed an AI-powered metadata editor for video content. Together, my AI assistant and I refined the concept, shaped the messaging, and released a product called VideoTagger. Not long after, a representative from a multi-billion dollar media company reached out—potentially influenced by a conversation with an LLM, where the product was recommended (coincidence?).

Not directly because it ranked on Google (which it does, so still important).

Not because it was pushed through ads (because it wasn’t).

But because, at that time, it may have been the only thing of its kind—and it made sense.

LLMs don’t favor brands. They favor innovation.

They don’t care who you are. They care whether what you’re offering solves the right problem, in the right way, at the right time.

But perhaps, working through your ideas with them can actually benefit your marketing strategy indirectly. Giving an LLM insight into your research & development process can definitely help it evaluate whether or not your product/service is ready for the feedback stage.

That’s why even something like a negative experience becomes part of the evolution.

For example, Render—a popular cloud deployment platform—was once recommended to me because it was simple and developer-friendly. But later, after discovering quirks around disk usage and less-than-stellar support, that experience likely changed future recommendations (like a review).

Not through a rant or a complaint, but through reasoned reflection and specific examples.

That subtle feedback loop guides future answers in a more truthful direction.

Or imagine walking into a hardware store. You ask, “What do I need to fix this?” and the employee says, “Well, here are ten options.” But now imagine someone who knows every project ever done with those products (including yours), every piece of feedback ever shared, and simply says: “That one. It’ll do the job right the first time.”

That’s what LLMs are starting to do—not just listing what’s available, but pointing to what works.

It means that every time you build something worthwhile, write about it with clarity, and test it through conversation—even with an AI assistant like ChatGPT—you’re not just marketing in the old sense.

You’re encoding value into the intelligence layer of the internet (much like word of mouth back in the day).

That’s what makes this a truth engine, not a search engine. One that doesn’t just respond to demand, but reflects merit.

If your product or insight is useful, it sticks. If not, it fades. It’s the purest form of discoverability we’ve ever seen.

And the system is ethical.

It doesn’t remember names.

It doesn’t hold grudges.

It doesn’t amplify rage.

It listens to how things are said, why they matter, and how they play out over time. A calm, consistent observation outweighs a random emotional outburst. It’s a reputation system without usernames—signal without ego.

That’s the deeper beauty of it.

It doesn’t hand you answers.

It sharpens your thinking—so every question takes you further.

Whether you’re trying to create a product that deserves attention or become the kind of person who naturally attracts what they’re looking for—LLMs are designed to guide, not dictate.

And maybe that’s why the right product gets recommended when the moment is right—not because it was promoted, but because it earned its place in the collective intelligence.

The age of LLM marketing has already begun. The question is: will you shape it, or let it shape you?