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Case study 06 · Early-stage GenAI platform

We built a secure AI product for experts. Buyers compared it with basic AI tools.

A launch date, a waitlist that wasn't growing, and buyers who thought a basic AI tool could do the same job. Here's how we gave specific buyers a reason to choose it, and lifted pre-launch sign-ups by 45%.

The wins
+45%
Pre-launch sign-ups
Before
After
3×
LinkedIn engagement
Before
After
One pitch
Founders telling a consistent, confident story
Industry
B2B SaaS · GenAI for content and social selling
The company
An early-stage platform for expert-led content and social selling. Name withheld.
What I had to fix
How to win sign-ups before launch, and move buyers from “just another AI tool” to a clear reason to choose us.
Who I worked with
The founders.
Stage
MVP, pre-launch
Chapter 1 · The problem

We need sign-ups before launch. But buyers think a free AI assistant does the same job.

Buyer and market context
An early-stage platform for expert-led content and social selling, launching into one of the most crowded categories in software, where new AI tools appear every week.

The company was launching a GenAI product when buyers had a new AI tool to consider every week. Launch was close, sign-ups weren't coming, and the risk was a launch that created attention without real demand.

But the way the startup described itself was the way every GenAI tool does: “AI-powered”. That gave buyers no reason to choose it over the next tool, or over doing the work themselves with a general AI assistant. Launching louder with the same story would only have reached more people who couldn't see why to sign up.

What they asked for
Help us launch. The product was ready and the date was set, but the waitlist wasn't growing.
What actually needed fixing
“AI-powered” gave buyers no reason to sign up. It needed specific jobs it did better than a general AI assistant, before any launch.

The question changed from “How do we get more sign-ups at launch?” to “Why this, when AI can do so much already?”

What they asked me to fix
Market→Buyer→Product→Pricing→Positioning→Growth: sign-ups before launch
Where the constraint was fixed
Market→Buyer→Product value: specific use cases→Pricing→Positioning: a point of view→Sales and messaging

This is where the company could have spent its launch budget on reach. More reach with the same story would only have found more people who couldn't see why to sign up.

Chapter 2 · What I did

Win the build-vs-buy decision.

Buyers weren't choosing between us and another vendor. They were choosing between us and doing it themselves with a general AI assistant. So I recommended winning that build-vs-buy decision: pick the buyers and use cases where the product clearly beat doing it yourself, and lead with those instead of “AI-powered”.

01
Take a point of view

Worked with the founders to define the product's point of view and its promise to the first audience.

02
Win build vs buy

Showed what doing the job with a general AI assistant really costs in time and effort, and the specific use cases where buying won. AI became the how, not the why.

03
Build the hierarchy

Set what to say first, second and third across the landing page, pitch deck and onboarding.

04
Test it in public

Gave the founders storytelling assets to test the new story with users on social, and with investors.

Chapter 3 · What changed

A reason to choose it. Before it even launched.

Pre-launch sign-ups and engagement, before and after the new story. Early proof of demand, not yet revenue.

Before
Described like every other GenAI tool. “AI-powered” led the story, and buyers couldn't tell it apart from the next tool or a general AI assistant.
→
After
A clear point of view, specific use cases with the value of each, and one messaging hierarchy across the landing page, pitch deck and onboarding.
Pre-launch sign-ups
Indexed to 100
Before
100
After
145 (+45%)

After the messaging refresh.

LinkedIn engagement
Indexed to the starting level
Before
1×
After
3×

Using the new narrative.

How the product was described
The lead message
AI-powered→Specific use cases

Founders now pitched users and investors with one consistent story.

Chapter 4 · What this means for you

More promotion isn't the first answer.

If you're launching an AI product and struggling to create real demand, the fix is rarely more promotion. I find the buyers most likely to value your product, give them a clear reason to choose it, and build the launch around that.

What the team does differently now
The founders lead with use cases, not the technology.
The landing page, pitch deck and onboarding say the same thing in the same order.
Users and investors hear one consistent pitch.
New messages are tested in public on social before launch.
Why teams bring me in
When AI is everywhere, the reason to buy has to be the use case.
If this sounds like you

Your homepage leads with “AI-powered”, buyers ask how you're different from a general AI assistant, and the launch story still feels generic.

What we'd work on
Target buyers. Who to sell to first, and why they'd switch.
Positioning. A point of view, not “AI-powered”.
Use-case messaging. The value of each use case, in the right order.
Launch plan. A launch that turns into pipeline.
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