The one marketing lesson I learned from building an AI product that no one talks about
When we started building Murror, I made the same mistake most AI founders make: I marketed the technology.
"Powered by AI." "Smart algorithms." "Personalized insights." All the buzzwords. And you know what happened? Crickets.
The turning point came when I stopped explaining what Murror does technically and started talking about the feeling people get when they use it. Not "AI-driven emotional analysis" but "finally understanding why that conversation with your friend left you feeling off."
Here's the thing about marketing an AI product in 2026: everyone has AI. It's table stakes. If your pitch starts with "we use AI to..." you've already lost. You sound like every other product in the space.
What actually works is marketing the transformation, not the mechanism.
People don't care that your model has great accuracy. They care that they felt seen for the first time. They don't care about your recommendation engine. They care that they discovered something about themselves they couldn't put into words before.
I think this applies to product building in general right now. The AI layer is becoming invisible, like electricity. Nobody markets a lamp by saying "powered by electricity." They talk about the warm glow it brings to your living room.
So if you're building an AI product and struggling with positioning, try this: remove every mention of AI from your landing page. What's left? If there's nothing compelling, the problem isn't your marketing. It's your product.
What's been your experience marketing AI products? Has anyone else found that leading with the human outcome works better than leading with the tech?
Replies
Exactly once AI is everywhere, the tech itself stops being interesting. People only care about how it makes their life feel different. Marketing the transformations instead of the mechanism is where the magic happens talk about the glow, not the electricity.
minimalist phone: creating folders
AI is everywhere, and it is not a differentiator anymore. But I noticed something else:
The way things are marketed.
When the thing is done by a tech guy and marketed by a tech guy, he outlines the technicalities as benefits...
But usually, this is not the user's language. You need to market the benefits for users in their language.
TL;DR: you need to be very simple in saying what users will have from the product.
The hero thing, what you can do for the user is probably what most want to know first when they land somewhere.
On the other hand, the slop epidemic is gaining traction.
People seem to start to realize llm don't think & just predict, and therefore make wrong prediction, flooding the world at every error with more slop (that is then used to train more llm, so expect the prediction success rate to hit a limit and then go down in the near future - maybe we have already reached glass ceiling).
Not to mention the immense dependency to the big corps that powers those gas factories to train & run the models & know everything there is to know about their users (I mean they can stop any app anytime on a click on 'lock this api key' in their back-end interface. And when their servers are down... You are down with them. And when they upgrade their prices because they lose too much money, you have to pay).
So it seems to me (but it's a narrow perception obviously, I don't have poll numbers) that the number of people that think that the cons of AI overcome its benefits is growing everyday.
All this to say, that while it doesn't benefit to communicate on "made with AI" as you've greatly pointed it out, we might see a trend of "Made without AI", or "free of AI slop" projects popping sooner or later. I agree it would be niche, but a niche with great traction & commitments once it starts.
Great insight on ditching AI buzzwords for human outcomes. Quick question: when positioning non-AI products the same way, did you notice bigger lifts in engagement or conversions?
That's a good potential exercise for sure, because you're right AI is now just another tool in the tech stack. Unless you are one of the few and far between who are actually building the AI engines, then it's the 2026 equivalent of "we use cloud servers"
Although AI has been a buzzword back when it was machine learning ruling the roost, the widespread adoption has secured its home as another tool to provide value. If you can't provide value, you don't have a business. Whilst this may be harsh, it was the way before as it will be the way in the future.
The electricity analogy nails it. I catch myself doing this constantly, leading with "AI-powered" like it's 2022. But nobody cares about the engine. They care about whether it gets them where they're going.
The hard part is resisting the urge to explain how it works when you're proud of the tech. But users don't buy mechanisms, they buy outcomes.
Love the analogy to electricity. In consumer apps, describing features as 'powered by AI' can cause a lot of mistrust and more cautious usage.
Hello Inbox
This is a great point. Currently building a SaaS and my Hero section mentions "AI-powered". Going to re-word it. Need to focus on the outcome.