Human Trust Signals: Looking Like an Expert Is Getting Cheap. What Happens to Trust?

Two businesses can now look almost identical from the outside. Both can have polished websites, thoughtful articles, professional videos and confident claims about their experience, expertise and reputation. One may have spent years earning that reputation, while the other may have assembled most of the appearance in weeks with AI.

That creates a problem we haven’t had to deal with at this scale before. When almost anyone can look like an expert, how do we know who actually deserves our trust, and perhaps more importantly for marketers, how will AI know? We’ve spent the last couple of years talking about everything generative AI can create. Articles, images, videos, websites, research reports and social posts can now be produced in a fraction of the time and at a fraction of the cost they once required. Entire brands can look polished, knowledgeable and authoritative almost overnight.

That’s remarkable, but it changes what we’re looking at. AI has dramatically reduced the friction of looking credible, and as credibility becomes easier to manufacture, it becomes weaker evidence that real credibility exists behind it. If content itself becomes less useful as proof of expertise, what becomes more valuable?

I think the answer is corroboration, not simply what you say about yourself, but what the rest of the world can independently verify about you. If that distinction matters more, it changes how we should think about search, AI recommendations and brand building.

AI Is Making Credibility Easier to Manufacture

Think about the things businesses have been trained to say about themselves for years. We have decades of experience. We care about our customers. We’re experts in our field. We provide exceptional service. We’re a trusted member of the community.

There’s nothing inherently wrong with any of those claims. The problem is that AI can now help almost anyone make them convincingly. It can sharpen the language, build the website, produce the articles, create the video scripts and prepare a month of social content before you’ve finished your morning coffee.

For years, marketers have asked, What should we say about ourselves? A more useful question in the AI era may be: What can the world independently verify about us?

That sounds like a small change in wording, but it shifts the question from what we can say about ourselves to what exists beyond our own claims.

When Claims Get Cheaper, Evidence Gets More Valuable

I’ve often referenced Jeff Bezos’s idea that your brand is what people say about you when you’re not in the room. AI is making that room enormous.

Think about how search engines originally approached authority. Anyone could build a webpage and claim to know what they were talking about, so Google needed signals beyond the words on the page. Links became an important way to determine whether other parts of the web considered that page valuable. In a very basic sense, a link was corroboration. Someone else thought you were worth pointing to.

Of course, once marketers understood the value of that signal, we started manufacturing it. Google has spent decades trying to distinguish links that reflect genuine authority from links created primarily to influence an algorithm. Links may turn out to have been an early version of something much bigger.

The Web Is Becoming a Much Bigger Evidence Trail

The internet is no longer simply a collection of documents. It contains videos, photographs, podcasts, transcripts, reviews, events, awards, memberships, partnerships, news coverage, public records and enormous networks of relationships between identifiable people and organizations. At the same time, machines are getting better at understanding those formats and connecting the information inside them.

A photograph can contain recognizable people, places, objects and text. A podcast can become a transcript connecting a person to an organization, a subject and an area of expertise. A local event can generate photographs, social posts, attendee lists, video, local coverage and other evidence that all point in roughly the same direction.

I’m not suggesting Google gives you ranking points because it recognizes you standing inside a particular building. We have no evidence for that, and focusing on individual ranking factors misses the bigger idea. The interesting part begins when machines can connect more and more of this evidence instead of seeing each piece in isolation.

The Strongest Evidence Usually Comes From Someone Else

Consider two business owners who both tell you they’re respected experts in their local market.

The first has a terrific website filled with authoritative articles. The second also has a terrific website, but when you look beyond it, you find something different. Customers talk about them. Local organizations know them. Podcasts have interviewed them, journalists have quoted them, and other business owners mention them. They appear in photographs at recognizable events, and professional organizations recognize their work. Their name, face, company, expertise and relationships appear repeatedly across sources they do not control.

Which tells you more about whether the person is genuinely trusted: the content they published themselves or the pattern of evidence created by other humans? That pattern is what I’ve started calling Human Trust Signals.

No single signal tells you much. One podcast appearance does not establish expertise, one award does not establish credibility, one photograph does not prove community involvement and one glowing review certainly does not prove that customers consistently love you. None of these signals is immune to manipulation, which is exactly why the pattern matters more than the individual signal.

A broad trail of independent evidence, built across different people, places and time, is much harder to manufacture convincingly. The value comes from what those signals build together. When dozens or hundreds of independent pieces of evidence accumulate over time and keep telling essentially the same story, manufacturing that story becomes a much bigger job.

It becomes corroborated.

Trust Is Built Outside the Things You Control

This creates an uncomfortable question for businesses because we’ve spent years building things we control. We built our websites, blogs, social accounts and email lists, and those assets still matter enormously. But they are inside your four walls.

What exists outside them?

If you’re a local business, are you actually part of the place you claim to serve? Do customers talk about you? Do other businesses know you? Are you involved with your Chamber or local organizations? Have you contributed your expertise somewhere other than your own blog? Have you appeared on local podcasts? Do journalists know who you are? Do respected people in your field associate themselves with you?

And have you done anything worthy of recognition rather than simply finding recognition you can buy?

I’m not suggesting businesses do these things for an algorithm. That would miss the point. The goal is to do the real thing and let the digital evidence become the natural exhaust of genuine human activity.

If you’re a Round Rock business, don’t create another page telling Google you’re a Round Rock business. Become part of Round Rock and the surrounding communities in ways other people can see, experience and talk about.

Humans Have Always Triangulated Before They Choose

This brings us back to something I’ve spent roughly 30 years thinking about: Found. Understood. Chosen.

I’m not starting with the question of what signals a business needs to send so AI will trust it. I’m starting where I started nearly 30 years ago: with the human on the other side of the screen. What helps that person feel understood, builds confidence and decides who deserves their trust? AI may be learning to recognize many of those same signals, but humans are the reason they matter in the first place.

AI is creating enormous changes in how businesses get found, but being found has never been the finish line. We obsessed over hits, then visitors, rankings, impressions, clicks, followers, view time and traffic. Now we’re beginning to obsess over AI citations and recommendations. All of those things can matter, but none of them answers the question that ultimately determines whether someone becomes a customer: Why should they choose you?

Think about how you behave when the decision really matters. Maybe you’re choosing someone to care for your mother, hiring an attorney, selecting a financial advisor or trusting a contractor with your home. You probably don’t count how many blog posts each company has published. You look for evidence that reduces uncertainty.

Who recommended them? What do their customers say? Who else trusts them? How long have they been doing this? Have they actually done what they claim? Who are they associated with? Does the story they tell about themselves match the story everyone else seems to tell about them?

We’ve always triangulated trust this way. The more important the decision, the less willing we are to rely on a single claim. We look for the same story to hold up when we approach it from different directions.

AI May Be Learning to Do the Same

Increasingly sophisticated AI systems face their own version of this problem. Relevance alone is not enough, especially in a world where polished content is cheap to create and answers may be delivered without a click. Understanding what a page says has become remarkably good. Figuring out how much confidence to place in what it says is a harder problem.

That’s why I believe the more interesting question in AI search isn’t: How do I create enough content to convince AI that I’m an authority?

It’s: How do I build a business with enough real-world evidence that AI can discover the authority I’ve actually earned?

Those questions send a business in very different directions. The first keeps you focused on producing more content. The second makes you ask whether enough evidence exists when you’re not the one doing the talking.

Stop Manufacturing Authority. Start Leaving Evidence of It.

AI has made content abundant, but corroboration remains scarce. Anyone can publish more. Far fewer businesses can create a long trail of independent evidence showing that other people know them, trust them, work with them and are willing to attach their own names to that trust.

Keep publishing. Teach what you know, make useful videos, write articles and share your expertise because all of that still helps people find you and understand what you know. I am increasingly finding that videos that have a couple of hundred views and not millions are actually driving real business. But spend just as much time thinking beyond the things you publish yourself.

Build relationships. Participate in the community. Teach in places you don’t own. Develop partnerships. Earn reviews. Give journalists something worth covering and organizations a reason to invite you into the room.

Don’t manufacture Human Trust Signals. Earn the kind of trust that produces them naturally.

Because the businesses that thrive in the next era of search may not be the ones that become best at telling the internet how trustworthy they are, they may be the ones for whom the internet contains so much independent evidence of trust that the conclusion becomes difficult to avoid.Start thinking how many “established” brands you no longer trust what they stand for.

So I keep coming back to one question:

If AI stopped listening to what you say about yourself tomorrow, what would the rest of the world tell it about you?