What Does AI Say About My Business?

Companies spend an enormous amount of time deciding what they want their brand to mean. We debate positioning, rewrite websites, develop messaging, invest in PR and train sales teams to explain why we’re different. Then we measure whether people saw it, remembered it or bought something because of it.

AI adds something new to that equation. Ask an AI platform about your company and it doesn’t simply repeat your About page. It assembles its own answer about what you do, what you’re known for, who you serve and why someone might consider you. Increasingly, a customer can get that version of your company without ever visiting your website or talking to anyone who works there.

I think that’s a bigger change than it first appears. AI isn’t just another place where your brand shows up. It’s becoming an interpreter between the information surrounding your company and a customer trying to understand it. That means you can be highly visible in AI and still not be understood particularly well.

AI Is Creating Its Own Version of Your Brand

Marketers have been losing some control over brands for years. Reviews, Reddit, social media, news coverage and word of mouth all moved us away from an era when companies could largely control the message. AI takes that another step because it can gather pieces of that outside conversation, combine them with what the company says about itself and present a customer with a fairly coherent explanation of the business.

We’ve already written about how the homepage is no longer necessarily the front door to a business. Customers can encounter reviews, social content, videos, media coverage and AI-generated answers long before they reach your website. What’s different now is that AI can take those pieces and interpret them for the customer rather than simply presenting places to look.

The Interactive Advertising Bureau’s 2026 AI visibility framework makes an important distinction here. IAB looks beyond whether a brand appears and also considers its portrayal: the context, framing and accuracy of how the brand is represented. A company can have strong AI visibility and still have a brand problem.

Imagine a Kansas City engineering firm that has spent five years moving into highly specialized healthcare work. Leadership considers healthcare central to the company’s future, but most of the information surrounding the company still associates it with general commercial projects. If AI describes it as a general commercial engineering firm, AI may simply be describing the company the available evidence supports rather than the company leadership believes it has become.

Brand Strategy Is Becoming an Evidence Problem

For most of my career, brand strategy started with deciding what we wanted people to believe about a company and then figuring out how to communicate it. That model isn’t disappearing, but AI puts more pressure on the evidence behind the message. Saying you’re innovative, specialized, trusted or experienced is easy. Having enough evidence that an outside system reaches the same conclusion is considerably harder.

A 2026 Semrush study of 481 U.S. marketers, reported by Business Insider, found that 30% had encountered inaccurate portrayals of their brands in AI search and 29% reported vague brand messaging. Those are two different problems. Incorrect information can potentially be corrected, but a brand that is accurately understood as vague may not have a strong enough story in the first place.

One thing I’ve noticed as we’ve started looking at companies this way is how often the internal description of a business is much more specific than the external one. Sit down with the leadership team and they’ll usually tell you exactly what makes the company different. Look at the website, case studies, media coverage and other public information, and sometimes that distinction gets pretty hard to find.

When AI produces the broader version, it’s tempting to call that an AI problem. I’m not convinced it always is. If a company describes itself as an expert in a category but AI consistently understands it as one of many generalists, I’d want to know why. AI could be wrong, but the company’s public footprint may also not support the position as strongly as leadership thinks it does.

That’s why I see AI as a useful stress test for positioning. It isn’t the final word on your brand, but it can expose the distance between what you believe you’ve communicated and what the outside world can actually see.

Learn more: How Do AI Answers Decide Which Businesses to Mention?

Brand Consistency May Have to Mean Something Different

We’ve traditionally talked about brand consistency as keeping the message, voice, visual identity and positioning aligned across channels. AI may force us to expand that definition. If your website, case studies, customers, industry coverage and executive expertise all point toward roughly the same understanding of the company, that’s something much more meaningful than simply repeating the same positioning language everywhere.

I think brand consistency in the AI era may increasingly mean alignment between what a company says, what it actually does and what credible outside sources say about it. Nobody needs to use exactly the same language. The underlying story just needs to be clear enough that it survives when an AI system puts the pieces together.

This is also why SEO, AEO, GEO, PR, reputation, content and brand strategy are starting to overlap. They’re different disciplines, but they can all contribute evidence to the same public understanding of a company.

AI May Expose Something Marketing Doesn’t Want to Hear

Harvard Business Review explored this problem in 2026. Pernod Ricard examined how leading AI models represented its brands and found incomplete and incorrect information, including one model placing Ballantine’s Scotch in the wrong market position.

There’s a larger lesson there. Companies have always been able to describe themselves aspirationally, and sometimes the brand gets a little ahead of the evidence. AI may make that gap harder to ignore. I’m not sure that’s bad for marketing. We may have to spend a little less time finding better adjectives for companies and a little more time making sure they can demonstrate the things we’re asking customers to believe.

The Goal Isn’t to Tell AI What to Say

I’m not suggesting AI gets to define your brand. These systems make mistakes, different platforms can produce different answers and no company should rethink its positioning because of a handful of prompts. But if several AI platforms repeatedly misunderstand the same part of your company or overlook the same expertise, I’d want to understand why.

I also don’t think the future of AI brand strategy should be about figuring out how to manipulate AI into describing your company the way you want. I’ve been around digital marketing long enough to see what happens when we start building everything around what we think an algorithm wants instead of what customers actually need. I don’t think we need to make that mistake again.

The more durable strategy is harder: build a company with a clear position, document the work that supports it, develop real expertise, earn credible recognition and make sure the public evidence reflects what the company has actually become. If you do that well, AI doesn’t have to memorize your positioning statement. It has enough evidence to arrive somewhere close to that conclusion on its own.

That’s where I think brand strategy and AI Authority meet. Branding has traditionally put a lot of emphasis on controlling the message. AI is putting more pressure on companies to prove the message, and I think that’s ultimately a healthier standard. If the company you believe you’ve built and the company AI describes are consistently different, I wouldn’t start by asking how to change the AI answer. I’d start by asking why the gap exists, because the answer may tell you something far more important about your brand.

Learn more: The Homepage Is No Longer the Front Door