Selling to humans is so 2019

By Jason Gaguan

Marketing has always been about persuasion—but the audience is changing. As more consumers turn to AI assistants to decide what to buy, brands are no longer just selling to people. They’re selling to the systems people trust to think for them.

Since one of the earliest recorded advertisements—an Egyptian papyrus promoting a fabric shop nearly 5,000 years ago—marketing has always been about persuading people. Across eras and media, from town criers to television commercials to social media feeds, the objective remained constant: connect a product to a human emotion and drive desire.

Coca-Cola didn’t sell sugar water; it sold Christmas. Apple didn’t sell computers; it sold rebellion and creativity.

This model worked because humans tend to make decisions emotionally first—and rationalize them second, no matter how much we like to believe otherwise.

That assumption is starting to break.

Today, a growing number of consumers no longer begin their buying journey by asking friends, reading reviews, or scrolling through search results. Instead, they consult a large language model (LLM)—ChatGPT or its equivalents—as a decision gatekeeper.

Before purchasing, they ask:

What’s the best product for me?

Compare my options.

What should I choose?

In effect, marketers now face a new audience: not only humans, but the AI systems humans trust, to think on their behalf.

Is This Just SEO 2.0?

At first glance, selling to AI might seem like a rebranding of search engine optimization. SEO taught marketers to reverse-engineer algorithms so their products appeared when consumers searched relevant keywords. Visibility was the goal: be present everywhere, be mentioned often, dominate the first page.

LLMs change the game.

You are no longer trying to be findable by an algorithm. You are trying to be defensible to an interpreter.

Instead of ranking pages, an LLM synthesizes knowledge, weighs sources, resolves contradictions, and produces a recommendation. Spamming the internet with your product name is far less effective than ensuring your product survives scrutiny.

In short:

SEO optimized for exposure. LLMs optimize for epistemic confidence.

The New Gatekeeper

Think of the LLM as a highly analytical advisor. When asked about a product, it doesn’t respond to emotional storytelling, influencer hype, or glossy taglines the way a human might. It privileges coherence over charisma.

So what does it value most?

• Verifiable data and statistics
• Independent third-party validation
• Peer-reviewed research and white papers
• Transparent case studies with clear methodology
• Consistent messaging across reputable sources

And what does it discount?

(LLMs may still reflect these signals, but they tend to assign them less weight.)

• Purely promotional language
• Unsubstantiated superlatives
• Emotional appeals without evidence
• Incoherent or contradictory claims

This isn’t because AI is “rational” in the human sense. It’s because it is conservative. It seeks consensus stability: the safest synthesis of what credible sources broadly agree upon.

Where humans tolerate paradox and cognitive dissonance, LLMs often smooth uncertainty into the most defensible conclusion.

Why This Matters for Marketing

This shift quietly undermines many pillars of modern marketing. Emotional storytelling, influencer amplification, and brand myth-making still matter—but increasingly, they operate downstream of AI recommendation engines.

If an LLM doesn’t recommend you, a growing share of consumers may never emotionally engage with your brand at all.

To be recommended, brands must now persuade an epistemic intermediary.

That requires a different toolkit:

• Structured evidence instead of slogans
• Cohesive narratives instead of fragmented campaigns
• Credibility built through documentation, not just reach
• Messaging that withstands comparison, not just attention

Marketing is moving from affective persuasion toward auditability.

In other words: brands are no longer just selling an identity. They are selling a claim—and that claim has to hold up under scrutiny.

The Uncomfortable Conclusion

The future of advertising may look less like Madison Avenue and more like a research department.

Scientific papers, benchmark reports, transparent performance data, and analytically honest positioning are no longer niche assets. They are becoming core marketing infrastructure.

Humans still buy emotionally.

But increasingly, machines decide what options humans get to feel emotional about.

Marketers who understand this shift early won’t just sell to people.

They’ll sell to the systems people trust to think for them.

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Jason Gaguan is the Chairman and Co-Founder of Agile Data Solutions Inc., a market research technology company specializing in consumer insights and predictive modeling across Southeast Asia.