Growth Ritual #99 - Your Next Customer Isn’t Human

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Your Next Customer Isn’t Human

Everyone at CES 2026 was talking about “Agentic AI”, assistants that don’t just answer questions but actually do things. They book flights, buy groceries, and vet software vendors.

Most marketers are looking at this and thinking, “Great, a new channel to broadcast my message”.

They are missing the point.

Agentic AI isn’t better targeting. It’s the creation of a ruthless, logic-driven gatekeeper that sits between you and the human wallet.

We are moving from an era of persuasion to an era of validation. And if your business isn’t built for the machine, you are going to get silently delisted.

The New Funnel Logic

For the last 20 years, the playbook was simple:

1. Buy attention (Ads/Content).

2. Create desire (Copy/Creative).

3. Convert the human (UX/Sales).

That model assumes the human is the one filtering the noise. But cognitive load is too high. Humans are checking out. They are handing the keys to their AI agents.

In 2026, the workflow looks like this:

• Human: “Find me a CRM that integrates with Slack, costs under $50/mo, and has good support”.

• Agent: Scans 50 options. Filters out 47 based on hard criteria. Presents 3 to the human.

• Human: Picks one of the three.

If you were option #4, you didn’t lose the sale because your ad copy wasn’t witty. You lost because you never made the shortlist. You were invisible.

The very same person, just a year ago, was trying to solve this by searching on Google.

The decision often came down to clicking a blue link at the top of the result, without realizing it was actually a sponsored ad among thousands of results. And if they weren’t fully convinced, they would keep bouncing from one blue link to another, endlessly browsing…

Agents Don’t Have “Vibes”

I’ve built products for decades. I know that humans buy on emotion and justify with logic.

Agents are the opposite. They buy on logic and... that’s it.

An AI agent doesn’t care about your brand purpose, your Super Bowl spot, or the “vibe” of your Instagram. It cares about:

• Latency: Can I read your site in milliseconds?

• Structure: Is your pricing transparent and readable via API/Schema, or is it hidden behind a “Contact Sales” button?

• Reputation: Not your Yelp stars, but your “AI Reputation”.

The “Silent Downgrade”

This is exactly what will confuse businesses this year.

A potential customer will type something like this into ChatGPT or Gemini:

And just like that, the result of a research process that would normally take months will appear right in front of them.

No one will really know whether this comparison is based on up-to-date information or scraped from outdated versions of your website. Still, a comparison will be made—and a single, definitive-looking result will be presented.

Procurement managers who trust AI more than themselves will put the company credit card on the table and close the deal on the spot.

Isn’t that scary?

Yes.

It feels like an unknown, uncontrollable, unstoppable process…

If an agent encounters friction with your brand, say, a confusing return policy, a history of shipping delays found in forums, or a flagged fraud risk, it doesn’t give you a second chance. It doesn’t get “persuaded”.

It simply marks you as “high risk” or “sub-optimal” in its internal vector database.

You won’t get a notification that you’ve been blocked. You’ll just notice that your top-of-funnel traffic is drying up, and no amount of ad spend is bringing it back. You are screaming into a void because the gatekeeper has locked the door.

How to Optimize for the Machine

If you want to survive the agentic shift, you need to stop optimizing solely for human eyeballs and start optimizing for machine ingestion.

1. Structure Your Data like a localized API. Your pricing, specs, and policies shouldn’t just be prose on a landing page. They need to be structured data (Schema.org, JSON-LD) that an agent can parse instantly without hallucinating.

2. Kill the “Contact Sales” friction. Agents can’t “hop on a quick demo call”. If your competitor lists the price and you don’t, the agent chooses the competitor because the data is complete. Transparency is now a technical requirement, not just a moral one.

3. Audit your “AI Reputation”. What does an LLM say about you when asked? If the answer is “users report difficult cancellations”, fix the product. You can’t marketing-spin your way out of a dataset.

The Takeaway

Brand equity still matters for the final 10% of the decision (when the human picks from the shortlist).

But for the first 90%, the filtering process, you are pitching to a computer.

Be boring. Be structured. Be transparent.

If the machine can’t read you, the human can’t buy you.

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