Hey friends,

A few months ago, I spoke with a founder who had built one of the smartest AI copilots I’ve seen all year. It could summarize complex documents in seconds, generate insights, and even draft emails automatically.

There was just one problem.
Almost no one knew it existed.

They had spent months perfecting the model, refining prompts, tuning accuracy — but when launch day came, traction flatlined. Fewer than 500 visitors, barely any sign-ups.

The founder told me later, “We thought the hardest part was getting the model to work. Turns out, the hardest part was getting anyone to care.”

That conversation stuck with me. Because it’s the same story I’ve heard from dozens of AI builders lately — brilliant technology, invisible to the world.

And that’s where your Go-To-Market (GTM) strategy comes in.

In today’s AI economy, building something valuable isn’t enough. You need a plan to educate, attract, and retain users long before your product hits production.

So in this edition, we’ll break down exactly how to do that — step by step.

By the end, you’ll know:

1. What makes GTM for AI different from traditional SaaS.

2. How to design your launch thesis.

3. The 5-stage framework top founders use to reach early traction.

4. Metrics that matter in AI GTM.

5. Common mistakes (and how to avoid them).

Let’s dive in.

— Naseema Perveen

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