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Every Client Wants to Be an “AI Company” Now.

  • Writer: Naela Sakr
    Naela Sakr
  • Jul 12
  • 9 min read

Here’s What We Actually Tell Them.


We need to talk about something that’s been happening in our inbox, our discovery calls, and practically every new client engagement we’ve had for the past eighteen months.

The brief always starts the same way. A tech company, sometimes a SaaS platform, sometimes an IT services provider, sometimes a logistics company that built one internal automation tool, comes to us and says some version of this:


“We want to reposition as an AI company. We need our website, our content, our LinkedIn, everything, to say AI. We want to be seen as AI experts.”


And every time, we have the same conversation. It’s a conversation we’ve had so many times now that we decided to turn it into a blog post, because if you’re reading this, there’s a decent chance you’re either considering an AI positioning strategy yourself, or you’ve already went through with it and you’re wondering why it isn’t working.


So here it is. Our honest, unfiltered take on the great AI repositioning rush of 2025–2026 and what we think you should actually do instead.


We Get It. We Really Do.


Before we get into the “but,” let us be clear: we understand why this is happening, and the instinct behind it isn’t wrong.


The numbers are staggering. 


AI startups received 53% of all global venture capital funding in the first half of 2025. AI core pure-plays trade at 33x revenue multiples, nearly 5x higher than traditional software's 7x. The word “AI” in a company description, a pitch deck, or a LinkedIn headline is a valuation multiplier. 


Buyers are searching for AI-powered solutions. RFPs are asking about AI capabilities. Board members are asking CEOs, “What’s our AI story?”


And then there’s the fear. The fear that if you don’t say AI, you seem behind. You look like the company that’s still talking about “digital transformation” while everyone else has moved on. You feel invisible in a market that only seems to have eyes for two letters.


We get it. And we’re not going to tell you that AI doesn’t matter or that positioning doesn’t matter. Both matter enormously. But the way most companies are going about AI positioning is, to put it diplomatically, a problem.


The Problem With “Just Add AI” Positioning


Here’s what we see again and again. 


A company comes to us with a solid product, real customers, proven expertise in their domain (cloud infrastructure, HR tech, supply chain management, fintech, whatever it is). They’ve built something that works. They have case studies. They have happy clients.

And then they want to throw all of that away and replace it with “AI-powered.”


The website copy changes from “We help logistics companies optimize fleet management” to “Our AI-powered platform leverages intelligent automation to transform fleet operations.” The LinkedIn bios get updated. The blog fills up with generic posts about “the future of AI in [industry].” The conference booth gets a new banner.


And something strange happens: they start sounding exactly like everyone else.

The very move that was supposed to make them stand out makes them disappear. Because when every company in a market is saying “AI-powered,” nobody is saying anything at all. As one B2BMX 2026 speaker put it bluntly: “‘AI-powered’ is no longer a differentiator — it’s the baseline.”


There are over 62,000 AI startups operating globally right now. If your entire positioning strategy is “we do AI,” you’re not just competing with your actual market competitors. You’re competing with 62,000 other companies for the same three-letter identity. 


What Your Buyers Actually Want (Spoiler: It’s Not “AI”)


Here’s something that gets lost in the AI positioning panic. When a B2B buyer says “We’re looking for an AI solution,” what they actually mean is: “We have a problem, and we’ve heard AI might solve it.”


They’re not buying AI. They’re buying a solution to a specific operational, financial, or strategic problem. AI is the mechanism they expect, but the outcome is what they’re paying for.


This distinction matters enormously for positioning. When you lead with “We’re an AI company,” you’re answering a question nobody asked. When you lead with “We reduce fleet downtime by 34% using predictive maintenance: here’s how, and yes, AI is under the hood,” you’re answering the question the buyer is actually asking.


Adobe’s 2026 Digital Trends report confirms this from the buyer’s side: what buyers want from AI-powered experiences is that they feel personalized, anticipatory, and seamless, not that they feel “AI-y.” In fact, 60% of organizations surveyed said the goal is to make AI-powered experiences still feel human and brand-aligned. The technology should be invisible. The result should be unforgettable.


There’s an irony here that we point out to every client who sits in our office: the more you talk about AI, the less your buyer trusts you. Research shows that trust in fully autonomous agents dropped from 43% to 27% in 2025. Every vendor in their inbox is claiming to be AI-powered. Your buyer has been burned by overpromising vendors before. Another “AI-first” positioning just confirms their suspicion that you’re selling hype, not substance.


What We Actually Tell Our Clients (The BarkB2B Positioning Framework)


When a client comes to us wanting the full AI positioning stack, we don’t say no. We say, “Let’s do something smarter.”


Here’s the framework we walk them through, and it’s the same one we’d give you if you were sitting across the table from us right now.


1. Lead With the Problem, Not the Technology


Your positioning should start with the problem you solve, for whom, and what the measurable outcome is. AI is the how, not the what. The strongest B2B brands in 2026 are the ones that own a specific problem space so clearly that buyers find them first.

Example: “We help mid-market CFOs close their books in 3 days instead of 15.” beats “Our AI-powered financial automation platform leverages machine learning” every single time. The first one makes a CFO pick up the phone. The second one doesn’t even stop the scroll.


2. Be Specific About What Your AI Actually Does

If you genuinely use AI, and many of our clients do, then talk about it with specificity. Don’t say “AI-powered.” Say what the AI does, what data it needs, what outcomes it produces, and what still requires human judgment. Specificity is the antidote to skepticism.


This matters more than ever because regulators are watching. The SEC and FTC have both taken enforcement actions against companies for making vague or misleading AI claims. (We wrote about this in detail in our article on agent washing.) What you say about your AI capabilities is no longer just a marketing question; it’s a compliance question.


3. Don’t Abandon Your Domain Expertise for a Buzzword

This is the mistake that makes us wince most. A company that has spent ten years building deep expertise in, say, supply chain optimization for the construction industry walks in and says, “We want to be known as an AI company.”

Why? You are the supply chain company that also uses AI. That’s infinitely more valuable than being one of 62,000 AI companies that also dabble in supply chain. Your domain expertise is your moat. AI is a tool in the moat. Repositioning around the tool instead of the moat is positioning suicide.


4. Build Credibility Before You Build a Narrative

You don’t get to call yourself an AI expert because you updated your website. You earn it by producing evidence. And this is where your content strategy becomes absolutely critical.


Publish case studies that show your AI in action with real metrics. Write technical content that demonstrates depth, not just awareness. Get your engineers and data scientists on LinkedIn sharing insights, not just your marketing team resharing ChatGPT threads. Contribute to industry conversations with original data and perspectives.


In 2026, content marketing isn’t just about SEO traffic; it’s also about AI discoverability. The content you publish is increasingly how AI-powered search tools, from Perplexity to Google’s AI Overviews, decide whether your brand is credible enough to surface. Structure, specificity, and authority signals matter more than ever. Generic “5 Ways AI is Changing [Industry]” posts fail to impress both humans and algorithms.


5. Position for Where the Market Is Going, Not Where It Is

Here’s the part that requires some courage. Every hype cycle has a hangover. Greenwashing was followed by green skepticism. Blockchain was followed by “wait, what does this actually do?” AI washing will be followed by AI skepticism. In many B2B buyer segments, it already has

.

The companies that will own the market in 2027–2028 aren’t the ones who rode the hype wave the hardest. They’re the ones who built credible authority. When the skepticism phase arrives in full force (the Forrester, Gartner, and FTC data all suggest it’s already starting), the brands with substance will inherit the market from the brands that only had slogans.


The Conversation Nobody Wants to Have: What If You’re Not Really an AI Company?


This is the uncomfortable part of the conversation. And we’ve had to have it more times than we can count.


Some of the companies that come to us wanting AI positioning don’t actually use AI in any meaningful way. They use automation. They use rule-based logic. They have some data analytics. They might have an integration with an LLM API that they bolted on last quarter. And they want to call all of it “AI.”


Our advice in those cases is always the same: don’t.


Not because we’re being moralistic about it, but because it’s bad strategy. If you position yourself as an AI company and your buyer’s technical team runs even a basic evaluation of your product, the gap between what you claim and what you deliver destroys trust instantly. And in B2B, where sales cycles are measured in months and involve multiple stakeholders, that trust is almost impossible to rebuild.


This isn’t hypothetical. The SEC charged Presto Automation because their “AI-powered” drive-through system still required extensive human intervention. The founder of Nate Inc. faced fraud charges for misrepresenting the company’s AI capabilities to investors. This has become a pattern. And while your company might not be facing SEC scrutiny, your buyer’s due diligence team will conduct their own version of it.


Instead, be honest about what you have. “Our platform uses intelligent automation and machine learning where it adds value, and human expertise everywhere else” is a more compelling (and more defensible) position than “We’re an AI-first company” when you’re not.


What We’re Doing for Clients Who Get This Right


For the clients who let us do this properly — the ones who sit through the uncomfortable conversation and come out the other side with a sharper strategy — here’s what the work actually looks like.


Positioning audits. We review everything: website, pitch decks, LinkedIn profiles, conference materials, sales collateral. We map where the AI claims are, whether they’re substantiated, and how they compare to what competitors are actually saying. Nine times out of ten, we find that the competitor everyone’s worried about is making equally hollow claims.


Problem-first messaging frameworks. We rebuild the narrative around the buyer’s problem, not the company’s technology stack. The AI capability becomes a proof point inside a larger, more compelling story, not the headline.


Credibility-first content programs. We build SEO-driven content strategies that establish domain authority and thought leadership through depth, not volume. Technical blog posts that demonstrate real expertise. Case studies with real numbers. Thought leadership that actually leads, rather than follows the conversation.


AI-era SEO and discoverability. We structure content so it’s surfaced by AI-powered search tools in addition to ranking on Google. The rules of discoverability are changing. Structure, authority signals, and topical depth are becoming the new backlinks. We make sure our clients’ content is built for this new reality.


LinkedIn and social positioning. We help leadership teams and subject matter experts develop authentic personal brands on LinkedIn that demonstrate AI fluency without resorting to the cringe-inducing “AI Thought Leader | Innovator | Disruptor” bios that flood the platform. Real expertise, shared with a human voice, outperforms performative positioning every time. (For the mechanics of how LinkedIn actually surfaces content right now, we covered this in our article on cracking the LinkedIn algorithm.)


The Brands That Will Win in The AI Era


We’re going to make a prediction, and we feel pretty confident about it:

The B2B brands that dominate in 2027 and beyond won’t be the ones that shouted “AI” the loudest in 2025 and 2026. They’ll be the ones that kept their heads down, built genuine capability, earned buyer trust through specificity and substance, and positioned themselves around the problems they solve rather than the tools they use.


The AI hype cycle is following the exact trajectory that greenwashing, blockchain, big data, and every other buzzword cycle followed before it. The companies that chased the trend are already starting to look generic. The ones that used the trend as a tailwind for their real story are pulling ahead.


So if you’re sitting in a meeting right now debating whether to “add AI to the brand,” we’d encourage you to ask a different question: What problem do we solve better than anyone, and how does AI help us solve it?


Start there. The positioning will follow.


One More Thing (From Us to You)


Look, we’re a B2B marketing agency. We make our living helping companies tell their story, rank on search, and generate leads. We could very easily just take the brief, slap “AI” on everything, invoice, and move on. Some agencies do.


We don’t, because it doesn’t work. Not in six months. Not in twelve. We’ve watched companies burn through budgets on AI positioning that generates impressions but not pipeline, clicks but not credibility, traffic but not trust.


The work that actually moves revenue in B2B is the hard, boring, unsexy work of understanding your buyer deeply enough to say the thing that makes them stop scrolling. That hasn’t changed because of AI. If anything, it matters more now that every other company is saying the same thing.


Be the one who says something different. Be the one who says something true.


BarkB2B is a specialized B2B digital marketing agency based in Cairo, helping B2B organizations build credible brands, smart content strategies, and marketing that actually generates pipeline. Let’s talk about what your positioning should really say.


 
 
 
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