Vague positioning isn't a messaging problem — it's a conviction problem disguised as caution
Discover why leading with 'AI-powered' has become a liability, not a differentiator. This piece explores the emotional paralysis behind vague positioning and why committing to a specific audience is the real unlock for early-stage founders.
TL;DR
"AI-powered" is not positioning - With 68% of organizations already using generative AI, leading with your technology makes you invisible, not impressive.
Vagueness is a conviction problem, not a copywriting problem - Founders stay broad because committing to a specific person with a specific problem feels risky at zero traction. But that commitment is exactly what creates traction.
Specificity is the moat - 71% of buyers want tailored solutions and 73% prefer vendors who understand their specific needs. Your deep understanding of one person's problem is what competitors can't replicate.
Positioning is a declaration of who you refuse to be generic for - Stop describing your tech stack. Start describing the person who would be devastated if your product disappeared.
Every AI Startup Sounds Like Every Other AI Startup
Open ten landing pages for AI tools launched this year. Read the hero copy. Now close your eyes and try to remember which one does what. You can't. They all say "AI-powered," they all promise to "save time," and they all blur into one forgettable wash of gradient backgrounds and vague value propositions. This isn't a design problem. It's a conviction problem. And if you're a solo founder struggling with AI business positioning, the discomfort you feel trying to describe your product isn't a sign you need better copywriting. It's a sign you haven't committed yet.
Why "AI-Powered" Became Everyone's Security Blanket
Here's the thing: leading with "AI" used to work. Two years ago, putting "AI" in your tagline was a signal. It said you were ahead of the curve, technically sophisticated, building something new. Investors leaned in. Early adopters clicked.
That signal is now noise. With 68% of organizations using generative AI in at least one business function, "AI-powered" describes nearly everyone. It's table stakes, not a differentiator. Yet founders keep reaching for it because it feels safe. It sounds credible without requiring you to say who you're for or what you actually believe about the problem you're solving.
And that safety is exactly what makes it dangerous. You end up with positioning that offends no one, excites no one, and converts no one.
The Real Problem Isn't Your Messaging. It's Your Fear of Choosing.
Vague positioning isn't a messaging problem. It's what happens when founders try to sound credible before they've committed to a specific person with a specific problem. That's our thesis, and we're not hedging on it.
Before you have users, testimonials, or revenue, the temptation is to keep your positioning wide. Cast a big net. Don't alienate anyone. But positioning in a crowded market doesn't reward breadth. It rewards specificity with an almost brutal consistency. The founders who break through aren't the ones with the best features. They're the ones who picked a lane and refused to leave it.
What Conviction-Driven Positioning Actually Looks Like
Let's talk about what happens in practice when founders avoid choosing.
A solo founder builds an AI tool that helps small e-commerce brands write product descriptions. Good product. Real problem. But on the landing page, it says: "AI-powered content generation for modern businesses." Why? Because the founder is afraid that saying "product descriptions for Shopify stores with fewer than 50 SKUs" sounds too small. Too niche. Too limiting.
So they go broad. And then they wonder why nobody converts.
This pattern repeats constantly. The founder knows, deep down, who the product is for. But the act of writing it down, of publishing it, of closing doors on hypothetical customers who might show up someday, triggers a kind of emotional paralysis. It feels like shrinking your market. It feels premature. It feels risky when you have zero traction and zero proof.
But consider what A majority of B2B buyers already tell us: they want content tailored to their needs, and 70% will always look for the "best fit" solution rather than a generic option. Your future users are actively filtering out vague pitches. They're scanning for someone who understands their exact situation. When you refuse to name that situation, you don't look versatile. You look like you don't know who you serve.
Patrick Thompson put it plainly: "Position for the customer. Lead with the problem you solve and who you solve it for. Be specific because vague positioning doesn't stand out, it blends in."
April Dunford, arguably the leading voice on product positioning, makes a related argument in her positioning playbook for AI products: AI products need an opinionated point of view. Not a feature list. Not a technology description. A worldview. A belief about how the problem should be solved and why the current approaches fail.
This is where the gap lives for pre-traction founders. Most positioning advice assumes you have customers to interview, data to analyze, a brand to protect. You have none of that. What you have is a belief. A bet you're making about a specific group of people and a specific pain they carry. Your positioning, at this stage, is an act of conviction, not an act of research.
Tools like heycatch exist precisely because this pre-traction phase demands a different kind of support. Instead of assuming you already have traction data to work with, heycatch builds tailored daily growth plans (including competitor research and website audits) around where you actually are, helping solo founders move from conviction to first users without needing a marketing team to translate their positioning into action.
The point isn't that specificity guarantees success. The point is that vagueness guarantees invisibility.
What You Lose by Staying Vague
If this thesis is right, the implications are uncomfortable. It means that the hours you spent polishing your landing page copy, tweaking your feature descriptions, and A/B testing button colors were spent on the wrong layer of the problem. The copy isn't broken. The commitment underneath it is.
It means your first pieces of content should reflect a point of view so specific that some people actively disagree with it. That's the signal you're doing it right. If your positioning makes everyone nod politely, it's not positioning. It's wallpaper.
It also means the competitive moat you're looking for isn't in your AI model, your tech stack, or your feature set. 73% of B2B buyers say they're more likely to engage with vendors who demonstrate a clear understanding of their specific needs. Your moat is the specificity of your understanding. That's what competitors can't copy, because it comes from a belief they didn't choose to hold.
A Better Way to Think About AI Business Positioning
Here's the reframe: Your positioning isn't a description of your product. It's a declaration of who you refuse to be generic for.
Stop asking "how do I describe what my product does?" Start asking "who would be devastated if my product disappeared tomorrow?" If the answer is "nobody yet," that's fine. But your positioning should describe the person you're building toward, not the technology you're building with.
Think of it as a brand positioning framework built on exclusion, not inclusion. Every person you explicitly choose not to serve makes your message sharper for the person you do serve. That's not limiting your market. That's creating one.
Pick the Lane. Say It Out Loud. Ship It.
The founders who break out of the AI noise aren't louder. They aren't better funded. They aren't more technically impressive. They just decided, earlier than everyone else, to stop describing their technology and start describing their person. They held an opinionated point of view about a problem and refused to water it down for comfort.
You don't need more features to stand out. You need fewer people you're trying to impress.
Frequently Asked Questions
Why does vague positioning make an AI business invisible to potential buyers?
Because buyers actively filter for specificity. When your messaging could apply to any AI tool, it triggers no recognition in the person who actually needs you. Specificity is what makes someone stop scrolling and think "this is for me."
How can I effectively position my AI business in a crowded market before I have traction?
Lead with a belief about a specific person and their specific problem, not with your technology. Your positioning at the pre-traction stage is an act of conviction: name who you serve, name the pain, and commit to that publicly before you have proof.
When should I update my positioning strategy for my AI business?
When real user behavior contradicts your assumptions. Your initial positioning is a bet. Once you have actual users, let their language, their use cases, and their referral patterns tell you whether to double down or adjust.