Last year, a founder we work with did something that changed how he thinks about his business.
He opened ChatGPT, put on his prospect hat, and typed the kind of question a potential buyer would ask: “What are the best workflow automation platforms for mid-size professional services firms?”
His company has been in this space for years. Strong product. Loyal customers. Real differentiation.
His product wasn’t on the list.
Not second. Not fifth. Not mentioned at all.
So he tried again, this time including his company’s name in the query. ChatGPT recognized it. Good. But the description it gave was based on outdated messaging. They hadn’t used that positioning in over a year.
The value proposition was wrong. The differentiation was muddled. ChatGPT was confidently describing a version of his company that no longer existed.
Two problems surfaced in under sixty seconds:
- When prospects don’t know you, AI doesn’t find you.
- And when they do know you, AI gets you wrong.
That’s a business risk most companies aren’t even aware of.
A Memo That Should Make You Uncomfortable
There’s a research memo making the rounds that paints a stark picture of the next few years. Written as a “letter from the future,” it walks through what might happen between now and mid-2028 if AI keeps improving at its current pace.
The short version: white-collar jobs disappear, consumer spending drops, credit markets crack, mortgage defaults pile up.
Whether this plays out exactly as described is anyone’s guess. But the force behind it is already visible: AI is getting better, faster, and cheaper.
Most of the memo is big-picture economics. But one observation buried in the middle is what stuck with me.
The authors describe a shift where AI agents start making buying decisions for people. Not when asked. Quietly, in the background.
Think about your own buying habits for a minute. How many brands or vendors do you stick with because you don’t have time to shop around and compare alternatives?
A lot of business models depend on exactly that. You keep your streaming subscriptions because canceling and comparing feels like a chore. You reorder from the same brands on Amazon because who has time to read 200 reviews. You renew your phone plan every year because comparing carriers feels like a part-time job.
AI removes that time barrier. When the machine does the shopping, convenience stops being a competitive advantage.
That’s a consumer story. But the B2B version is already here.
The Invisible Shift in B2B Buying
Your buyers are already using AI to research solutions, compare vendors, and build shortlists. Not all of them. Not every time. But the trend is clear, and it’s picking up speed.
When a CFO asks ChatGPT, ‘What are the top ERP platforms for mid-size manufacturers?’ that response shapes a shortlist before any salesperson gets involved.
When a VP of IT asks Claude, ‘What should I look for in a managed services provider?’ that answer defines what ‘good’ looks like before your name ever comes up.
This isn’t theoretical. It’s already the fastest-growing way buyers find vendors in B2B. And for most mid-market companies, it’s a black box.
You don’t know what AI says about you. You don’t know what it says about your competitors. You don’t know if it’s recommending you, ignoring you, or getting you wrong.
And unlike Google, there’s no link back to your site. The buyer gets the answer. They never visit your page. You never know you were part of the conversation. Or that you weren’t.
Three Risks You Can’t See From Your Analytics Dashboards
When we look at how AI systems perceive a company, three problems come up again and again.
Invisibility. AI doesn’t include you when buyers search your product/service category. You’re not competing and losing. You’re just not in the room. This is the most common problem we find, and the hardest to spot. No alert tells you a deal died before it started.
Misrepresentation. AI knows your name but gets the story wrong. Outdated capabilities. Old positioning. Muddled differentiation. Buyers form expectations from what AI tells them. When reality doesn’t match, you start every conversation digging out of a hole you didn’t dig.
Commoditization. AI describes you the same way it describes your competitors. No distinction. No clear reason to choose you. When a buyer asks “What’s the difference?” and AI shrugs, price becomes the only conversation.
Here’s what makes this different from other marketing challenges: these risks exist whether you pay attention to AI or not. You don’t opt in to AI visibility.
You either shape it, or it shapes you.
AI Doesn’t Have an Opinion About You. It Has a Mirror.
This surprises most leaders when they see it for the first time.
AI doesn’t make up a story about your company. It reflects what the market already sees. It pulls from your website, your content, third-party mentions, review sites, analyst coverage, and every other digital signal you’ve put into the world.
If AI gets you wrong, it’s almost never an AI problem. It’s a you problem.
The founder I mentioned earlier? When we dug into why AI was describing his company inaccurately, the root cause was pretty obvious. His company’s own web presence was sending conflicting signals. Old messaging on key pages. Inconsistent positioning across directories and profiles. Thought leadership that didn’t reinforce the current value proposition.
The AI was doing exactly what it’s designed to do, synthesize available information. The information was just fragmented.
This is the pattern we see consistently: AI visibility problems are almost always symptoms of foundational positioning and messaging gaps.
The companies that show up clearly and accurately in AI recommendations tend to be the ones that have already done the hard work…
- Clarifying their ICP
- Sharpening their differentiation
- Aligning their messaging across every surface
- Building topical authority in their domain.
The companies that are invisible or misrepresented? They’re usually dealing with the same structural issues that are quietly undermining their entire go-to-market motion. AI just makes those issues visible in a way dashboards and pipeline reports never could.
Why This Is Getting Worse, Not Better
AI models are getting smarter, faster, and cheaper. Adoption is climbing. Buyer behavior is shifting. And ‘we’ll figure out this AI thing later’ is running out of runway.
Here’s what’s already true in early 2026: AI tools are woven into the daily work of the buyers you’re trying to reach. The research, comparison, and shortlisting that used to happen across ten browser tabs now happens in a single conversation with an AI. And those conversations don’t show up in your analytics.
If the memo’s thesis is even half right, AI visibility isn’t a “new channel” to add to the mix. It’s the new front door to your business.
Most mid-market companies haven’t checked whether that door is open, closed, or sending buyers somewhere else entirely.
What This Means If You’re Running a B2B Company
I’m not going to sugar-coat this…
You need to know what AI says about you. Not a guess. An actual assessment of how major AI platforms describe your company when buyers ask the questions that matter to your pipeline.
SEO won’t fix this by itself. A company can have strong Google rankings and still be invisible in AI recommendations. The inputs AI relies on are different: the structure of your content, what third parties like review sites, influencers, and analysts are saying about you, and whether your narrative is consistent across every surface AI can see.
This isn’t a standalone issue. AI visibility reflects the health of your entire go-to-market foundation. Your positioning. Your messaging. Your differentiation. Your ICP clarity. Trying to “optimize for AI” without addressing those foundations is the same trap as trying to fix your pipeline by launching more campaigns before figuring out what’s actually broken.
If you’ve been following our work on growth diagnostics, this should sound familiar.
Same pattern: teams treat symptoms without diagnosing the structure underneath. AI just created a new surface where those weaknesses show up…one your buyers are already using.
The Window Is Still Open
The memo ends with a line that stopped me cold.
After 30 pages of disruption, the authors pause: “You’re not reading this in June 2028. You’re reading it in February 2026. The canary is still alive.”
Whether or not the full scenario plays out, the underlying shift is real. AI is already shaping how your buyers find, evaluate, and choose vendors. Right now, most mid-market companies are flying blind in that process.
The companies that move early will have a compounding advantage. They’ll know how AI sees them. They’ll fix the gaps distorting that picture. They’ll build the kind of clear, consistent presence that AI rewards.
The companies that wait will find out later that the deals they lost were never in their pipeline to begin with.
You still have time to shape how the market’s new gatekeepers see you.
But you have to look first.
Want to know what AI actually says about your company?
We built our AI Market Presence Analyzer for exactly this. Here’s how it works:
- Book a 30-minute call to give a few basics about your business.
- We’ll run a full analysis across major AI platforms.
- You get a clear picture of your visibility, accuracy, and positioning compared to your competitors, along with specific recommendations to improve.
We’re offering this at no cost for a limited time. Just book a call.
It’s time to find out where you stand before your next buyer asks AI instead of Google.
