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
Hello Aria
The lesson nobody talks about: your AI product's biggest marketing asset is also its biggest liability — the AI itself.
When it works well, it's magic. People share it. When it fails, even once, in a memorable way, it becomes the story. Not "the AI was off today" but "this AI thing is not ready."
Building Hello Aria (AI productivity assistant on WhatsApp/iOS, launching PH April 10th) taught us that AI product marketing is fundamentally trust marketing first and everything else second. You cannot outspend broken trust.
The lesson that actually moved the needle: let users control the blast radius. Give them easy ways to correct the AI, to see what it remembers, to say "never do this again." When users feel in control of the AI, they stop being skeptics and start being advocates.
Marketing an AI product is marketing a relationship, not a tool. That changes everything about your messaging, your onboarding, your support.
Murror
@sai_tharun_kakirala @sai_tharun_kakirala This is such a powerful reframe — AI product marketing as trust marketing. You nailed the asymmetry: one magical moment creates a fan, but one bad moment creates a critic who tells everyone. The idea of letting users control the blast radius is something we think about a lot at Murror too. When people feel safe and in control, they open up more, and that is when the real value of the product shows up. Wishing you an amazing launch with Hello Aria on April 10th!
I'm not marketing any AI product, but the "positioning to solve a problem" is key to any meaningful endeavor - it's truly that ubiquitous, transcendent, universal.
"What does the [fill in the blank] DO for me?" must be answered. Your "human outcome."
Electricity - Whether a warm glow or heat in my home or starting my car.
Food - sustainment, comfort, memory-making.
Hotels - rest, relaxation, reset.
The "sell" is in what "it" affords to DO for me, my family, my colleagues.
Murror
@jay_a_allen Love how you expanded this beyond tech and AI. You are absolutely right that it is a universal principle. Whether it is electricity, food, or hotels, the sell is always in what it does for the person. That list you wrote is a great litmus test for any product: can you finish the sentence "this lets you..." with something that matters to a real human? If yes, you have something. Thanks for grounding the conversation like that!
This is very true for user-facing AI products.
In infra/dev tools, I’ve noticed the shift is slightly different , nobody cares about the AI itself, but they care a lot when things become unreliable or expensive in production.
The conversation becomes less about “what it does” and more about “what happens when it breaks”.
That’s where most teams start feeling the real pain.
Murror
@pashupathi That is a really important distinction. For user-facing products the question is "does this make me feel something?" but for infra and dev tools it shifts to "can I trust this not to break at 3am?" Both are about trust in the end, just expressed differently. The reliability and cost conversation is where the real buying decisions happen on the infra side, and teams that cannot answer "what happens when it breaks" clearly are going to lose deals no matter how impressive the demo is. Thanks for adding that perspective, it rounds out the picture really well!