The Brands AI Talks About and the Brands It Doesn't

There's a test I've started running in almost every marketing conversation I have, whether it's with my own team, with peers at conferences, or with anyone who asks me what I think about where search is headed.

I ask them to pull out their phone, open an AI assistant, and type: "What companies are known for [their industry] in [their region]?"

Then I ask them to read the response out loud.

About half the time, the person's company shows up. The description is usually close enough to be useful, even if it's not perfectly worded. They nod, maybe note something they'd want to adjust, and we move on.

The other half of the time, the person's company isn't mentioned at all. And the look on their face changes. Because the companies that are mentioned aren't always bigger, aren't always better known, and aren't always the ones with the strongest traditional search presence. They're just the ones the AI could describe with confidence.

That gap, between being known in your market and being known to the machines that increasingly influence your market, is the most important gap in marketing right now. And most companies don't realize it exists until they run this test.

The Referral That Almost Fell Apart

I heard a story recently that I think captures this perfectly. A business owner, someone who had built his company over more than two decades almost entirely through referrals, learned that two prospective clients in the same month had asked an AI tool for recommendations in his category before calling him. Neither one found his company in the results. They called anyway because they'd gotten his name from a trusted referral, but the AI results they'd seen first had featured two competitors. Smaller competitors. Less experienced competitors.

He was lucky. The personal referral carried enough weight to override what the AI had suggested. But it raised an obvious question, what about the people who asked the AI and didn't already have a referral to fall back on? How many of those conversations were happening without him?

This is the part that unsettles people who've built their businesses on reputation and relationships. The reputation is real and the expertise is real, but if it only exists in conversations and handshakes and the memories of satisfied clients, AI systems can't see it. They can only work with what's written down and published somewhere they can find.

A strong reputation with a thin online presence is like having a great product in a warehouse with no address. The quality is there but the discoverability isn't.

Why This Isn't an SEO Problem

The instinct most people have when they hear this is to think about SEO. That's understandable, because for the past 20 years, "being found online" and "search engine optimization" were practically synonyms. If you wanted to be visible, you optimized your pages, built links, published content, and climbed the rankings.

That work still matters, and I want to be clear about that, because the industry has a habit of declaring things dead the moment something new appears, and SEO is not dead; it's foundational. Sites that can't be crawled, that load slowly, that have broken pages and inconsistent structure, are invisible to every system, traditional and AI alike.

But SEO alone doesn't solve the problem I'm describing.

Here's why. Traditional search engines organized results by relevance and let the user choose. AI systems don't do that; they construct answers. They synthesize information from many sources, apply judgment, and present a response that's meant to resolve the user's question directly. Your page doesn't need to rank number one for the AI to include you, it just needs to understand you.

And "understanding" in this context means something very specific. It means the system has absorbed enough consistent, clear information about who you are, what you do, and who you serve that it can describe you accurately when someone asks. Ranking and being understood are two different things. You can have one without the other and the companies that are winning right now have both.

The Consistency Problem Nobody Talks About

When I started looking into why certain brands appeared in AI responses and others didn't, I expected to find that the winners had more content, better domain authority, or some technical advantage.

What I actually found was more mundane than that. The brands that showed up consistently had one thing in common. They described themselves the same way everywhere.

Their website said the same thing as their LinkedIn. Their press coverage reinforced what their product pages claimed. Their directory listings matched their Google Business Profile. When a human or a machine asked "what does this company do?", the answer was the same regardless of where you looked.

The brands that were missing from AI responses often had a different problem. It wasn't that their content was bad, it was that their messaging was inconsistent. Their website said one thing, their sales team said something different, and their LinkedIn bio was doing something else entirely. Some of them had gone through acquisitions and were still running legacy websites with outdated descriptions alongside their current branding.

From the AI's perspective, these brands were unclear. Not wrong, necessarily, just unclear. When a system needs to construct an answer with confidence, unclear brands get left out. Not as a punishment, as a default. The system simply can't say anything about you with enough certainty to include you, so it moves on to someone it can describe cleanly.

This is why I keep telling people that the most important question in marketing right now isn't "do we rank?" It's "are we explainable?" Can a system, whether it's an AI assistant or a human hearing about your company for the first time, quickly and accurately describe what you do, who you serve, and why you're worth considering?

If the answer to that question changes depending on which channel someone looks at, you have a coherence problem. No amount of content production will fix a coherence problem, and in most cases it will usually make it worse.

The Part That Makes Marketers Uncomfortable

For years, we as marketers had a clear scoreboard. Rankings, traffic, and conversions (and impressions if you’re trying to impress your CEO). You could see what was working and you could fairly often diagnose what wasn't with ease. The cause and effect was satisfying in a way that most marketing channels never matched.

AI-driven search doesn't give you that clean feedback loop. A prospect might ask an AI about your category, hear your company described accurately, form a positive impression, and then reach out to your sales team two weeks later without ever visiting your website. The influence was real but the attribution is invisible.

That's a hard thing to explain to leadership and it's an even harder thing to measure. It's why so many marketing teams are struggling right now, not because they're doing bad work, but because the evidence of good work is moving to places their dashboards can't see.

I don't have a tidy solution for that discomfort. I don't think anyone does yet, but I do think that pretending it isn't happening because we can't measure it precisely is a worse strategy than adapting to the reality and finding new ways to track the signals that matter.

What I'd Do This Week

I'm not going to lay out a full framework here, but if I were sitting across from you right now, I'd tell you to start with one thing.

Go find out what AI systems are saying about your company. Not what your website says, not what your sales deck says, but what the machines say when someone asks about your category, unprompted and uncontrolled.

If the answer is accurate and consistent across multiple platforms, you're in a better position than most. Protect that by continuing to be clear and consistent in everything you publish.

If the answer is vague, inaccurate, or if you're not mentioned at all, that's not a crisis, it's a clear starting point. The fix almost always begins with the same unsexy, difficult, deeply human work of getting the people inside your organization to agree on what you actually are and then saying it the same way everywhere.

That work doesn't require a new tool or a new agency or a new budget line item. It requires honesty, alignment, and patience, which, in my experience, are the three hardest things to get in a marketing department.

Going Deeper

I spent the better part of a year researching this shift and building the practical frameworks that help marketing teams navigate it. The result is my book, Explainable: Why AI Recommends Some Brands & Ignores Others. It covers the disciplines behind AI visibility, the measurement challenges, the organizational alignment work, and real-world applications across different industries and company sizes.

If anything in this post resonated, or if it made you a little uncomfortable, the book will give you a concrete path forward.