The trust you didn't earn

“If ChatGPT said it, it must be true.”

That sentence should make every marketing leader uneasy because it is fast becoming the default. The studies now circulating from BCG, Bain, and Salesforce all point the same way: a majority of consumers say they trust AI recommendations, with some surveys putting it as high as 85%. Many would now act on an AI's product suggestion as readily as a friend's.

Trust has quietly changed hands

For decades, the customer journey ran through channels you owned and shaped: your website, your advertising, your sales team. You controlled the words, the framing, the proof. Today a growing share of that journey runs through a model you don't own, can't see into, and never briefed.

When a consumer asks an AI, “what's the best option for me?”, an answer comes back instantly, confidently, and trusted. The old debate about whether people trust AI is over. They do. The confidence of the delivery does much of the persuading, and the customer rarely stops to ask where the answer came from.

Confidence is not the same as accuracy

Here is the part most teams haven't fully absorbed: you don't know (or control) what an AI assistant says about your brand, yet your customers are acting on it anyway. The machine speaks with authority whether it is right or wrong, current or outdated, fair or borrowed from a competitor's framing.

So the risk isn't a hallucination seen once. It's a misrepresentation repeated at scale, an outdated positioning, a rival's narrative, or a confidently invented “fact” delivered to thousands of buyers, each one inclined to believe it. When trust is high and oversight is zero, every error compounds. The more your customers trust AI, the more expensive it becomes to be described incorrectly by it.

The real question for the CMO

The question is no longer “do people trust AI?” They do. The question that now belongs on the executive agenda is sharper: when AI talks about your brand, is it portraying you the way you intend to be perceived?

Most organizations cannot answer that with any confidence and the few tools that simply confirm whether you're mentioned don't help. Being named tells you nothing about whether you're being described accurately, placed in the right category, or recommended to the right customer. In an environment built on trust, what the AI means when it names you matters far more than whether it names you at all.

From monitoring to governance

Trust you didn't earn, and can't see, is not something to leave to chance. It has to be governed, the same way you govern any other channel that speaks for the brand. That means three things working together: interpreting how AI actually represents you (what it says, what it gets wrong, where you're losing the narrative), optimizing the signals across the web that AI systems learn from, and acting on what you find before it reaches the next thousand buyers.

This is exactly why we built AYAN. Not to measure your visibility once the damage is done, but to read how AI represents your brand and let you govern that representation - to catch the wrong category, the stale value proposition, the competitor's framing, and correct course while it still changes the outcome.

The risk isn't the trust. It's the silence.

Rising trust in AI is not the threat. It's an opportunity for the brands prepared to meet it. The threat is trusting AI to tell your story without ever checking (or governing) what it actually says. Your customers have already decided to believe the machine.

The only open question is whether the machine is telling them the truth about you, and whether you'll be the one to make sure it does.