Companies work hard to define their brands, but customers and the broader market have always had a say. AI is making the gap between brand positioning and brand consensus much easier to see.
Companies work hard to define their brands, but customers and the broader market have always had a say. AI is making the gap between brand positioning and brand consensus much easier to see.
I’ve worked on enough websites to know how carefully companies choose the words they use to describe themselves. Sometimes we’ll spend more time on six words in a headline than anyone outside marketing would probably believe. There’s a reason for that. Words shape expectations, positioning matters and a business should be able to explain clearly why someone should choose it.
What I’ve always found interesting is what happens after those words leave the room. Customers describe the company in their own language, reviews emphasize things we didn’t expect and sometimes the market decides a company is known for something that wasn’t even central to the original positioning. AI didn’t create any of that, but it does make those different perspectives much easier to encounter together.
That raises a different brand question: what if the market hasn’t reached the same conclusion about the company that we have?
Businesses have traditionally treated their websites as the official version of themselves. That’s where we explain what the company does, who it serves and what makes it different. Customers, employees, journalists, industry publications and reviewers have always had their own versions, but AI can now bring much of that outside perspective into a single conversation.
That’s significant because consumers already research businesses across many sources. BrightLocal’s 2026 Local Consumer Review Survey found that 97% of consumers surveyed read reviews for local businesses and the average consumer uses six different review sites when choosing one. The study also found that 45% had used AI for local business recommendations.
The interesting part isn’t simply that AI has become another place to research a company. It’s what happens when the company’s understanding of its brand and those outside perspectives don’t match.
Marketing has traditionally spent a lot of energy on brand consistency, and rightly so. A company shouldn’t sound like five different organizations depending on whether someone visits the website, sees an ad or opens an email. But I think AI introduces another idea worth paying attention to: brand consensus.
Imagine a Kansas City business that has carefully positioned itself as the premium option in its category. The website communicates premium. Sales presentations communicate premium. Social media communicates premium. From a traditional brand-management standpoint, everything is beautifully aligned.
Then you look outside the company and customers consistently praise its affordability. Reviews describe it as a great value. Local and industry coverage positions it as an accessible alternative to larger competitors. Maybe that’s a wonderful reputation to have, but it isn’t the position the company thinks it owns.
That’s not really a brand consistency problem. It’s a brand consensus problem. AI can make that disconnect more visible because someone researching the company doesn’t have to experience the brand only through the company’s carefully constructed front door.
And that’s where I’d start getting curious. If we’re telling the market one thing about ourselves, is there anything outside our own marketing that suggests people actually see us that way?
My first instinct as a marketer isn’t that every difference needs to be corrected. Maybe a company has spent years talking about its technology while customers consistently praise how easy its people are to work with. Maybe leadership believes expertise is the primary differentiator, but customers repeatedly talk about speed. Perhaps a company has been trying to move upmarket while its reputation remains strongly associated with smaller businesses.
Sometimes marketing needs to communicate the company’s position better. Sometimes the business hasn’t produced enough evidence to support that position. And sometimes customers are telling you that the position itself should change.
Those are three very different problems: a communication problem, an evidence problem and a positioning problem. A communication problem may call for better messaging. An evidence problem may require stronger work, proof or simply more time. A positioning problem is more fundamental because it asks whether the story we’re trying to tell is actually the right story for the business.
Before trying to change how AI describes the company, I’d want to know which problem we actually have.
This is where AI Authority becomes more interesting than simply thinking about AI as another search channel. AI search visibility and AI discoverability matter, but you can’t create brand consensus by repeating the same claim across more pages. Eventually, the company has to create experiences, work and expertise that cause other people to reach similar conclusions on their own.
That doesn’t mean everyone needs to use the same language. In fact, I’d be suspicious if they did. A customer shouldn’t sound like your marketing department, and an independent article shouldn’t read like your About page. What matters is whether those different perspectives still add up to a recognizable company.
If a business claims deep expertise and its work, people, customers and reputation all point in that direction, the position becomes something larger than messaging. The brand begins to exist outside the company.
This is also why I don’t think we can look at SEO, AEO or GEO only as a visibility exercise. Of course I want a company to be discoverable. But if we’re talking about AI Authority, I also want the understanding that exists outside the company to be strong enough that the brand doesn’t depend on us constantly explaining what it’s supposed to be.
Learn more: What Does AI Say About My Business?
For marketers, I think the uncomfortable part of this is also the useful part. We may have spent years asking whether we’re communicating the brand consistently when another question deserves just as much attention: has anyone outside the company reached roughly the same conclusion?
If the brand we describe and the brand people experience are very different, I wouldn’t start by asking what we need to tell AI. I’d want to understand why we’re telling one story while the market seems to be telling another, and which version is closer to the truth. Because if the market keeps reaching a different conclusion about your company, eventually you have to consider the possibility that the problem isn’t how AI understands your brand. It’s how you understand it.
Zoe Jewell is Managing Director at Fireball Agency, a Kansas City-based marketing agency helping businesses build AI authority and visibility. Connect with Zoe on LinkedIn.
Zoe brings together creativity, technology, and execution to turn ideas into results. She has led content teams, helped develop websites, apps, and Chrome extensions, and contributed to digital campaigns that have generated millions of customer interactions. At Fireball, she keeps strategy moving from concept to completion.
