Everett Butler on Building Go-to-Market in a Category That Doesn't Exist Yet

Stop Debating What to Call It and Just Ship

When Everett Butler joined Lindy, the team could have spent months in a boardroom debating whether to call the product "AI employees," "workflow automation," or "agents." Instead, they skipped the philosophy and started testing.

Instead of just kind of having those philosophical debates, we just put real language out into the world and then just saw what hit and saw what the response was.

— Everett Butler

The approach was pure growth: ship fast, test dozens of frames, let customer behavior reveal the truth. In a nascent category, you can't wait for the market to hand you a shared language. You have to author it yourself. Then you watch what sticks.

This matters because AI is transforming work daily, but people are still solving the same problems. They're Googling "how do I scale my sales team without hiring 10 more people" and "where do I drive improvements in efficiency in my inbound support channels." Those keywords already exist. AI companies have every right to win them. The difference is positioning. You can't outsource it.

Audit Go-to-Market Across Three Planes

Butler audited Lindy's readiness across three dimensions: customer clarity, messaging and positioning, and channel economics. Do we have conviction on ICPs and use cases? Are we explaining the product in language that maps to real business pain? Do we have at least one acquisition loop that reliably trades dollars for growth?

The qualitative inputs came from an unusual source: Lindy itself. The team used their own AI employees to listen to sales calls, review churn notes, assess onboarding flows, and synthesize reports. Pair that with hard funnel data and you get a clear map of where to focus and where to cut noise.

In practice, that meant doubling down on organic growth and SEO, turning intermittent influencer partnerships into a programmatic always-on channel, and activating paid social with guardrails around CPM. The goal was finding where the audience lived and igniting the early seeds of a go-to-market motion.

When Search Demand Doesn't Exist Yet

The challenge: there's no shared syntactical understanding. People might not even know they need what you're selling. Paid search, the peanut butter and jelly of growth marketing, doesn't work when nobody's searching for you.

Go-to-market in a new category is part product, part marketing, and part anthropology. You're not just selling, you're teaching, you're translating, you're recruiting people into this new mental model.

— Everett Butler

That means tight feedback loops across product, sales, and growth. No silos. Bold bets. The pace of development in AI is blistering. The future is being drafted by the second. Better to be ambitious and outside your comfort zone than fall behind debating semantics.

You Can't Scale What Doesn't Stick

Butler came up on the lifecycle and retention side of growth. Now that the broader growth community has realized LTV matters, he's feeling validated. Retention isn't a silo. It's a growth responsibility.

That means instrumenting onboarding to measure activation quality, not just conversion. It means incentivizing sales and marketing on retained revenue, not just bookings. And it means baking success marketing into go-to-market: case studies, proof points, customer-led content.

At Uber and Affirm, retention was linked to user behavior. You had to build systems around habits. At Lindy, it's about ongoing utility. The team uses Lindy to onboard users onto Lindy. Customers see the product in practice, then get a little teaser: "By the way, that was a Lindy that just helped you."

Activation isn't a moment, it's a motion, and it's something you got to keep investing in long term to make sure that you're continually getting the return and yield out of it that you should by not burning those dollars at the top and then just having a leaky bucket at the bottom.

— Everett Butler

Hire for Judgment, Not Output

The biggest mistake marketing leaders make when scaling quickly? Hiring for today's work instead of tomorrow's strategy. The knee-jerk reaction is to plug gaps. We need demand gen. We need content. We need lifecycle. That steals the opportunity to build leverage.

Teams that scale well invest early in three things: process and a clear operating cadence, a shared language around performance and priorities, and strong connective tissue between functions. If you nail those, the org chart almost doesn't matter.

Butler hires for judgment, not output. The future marketing org is leaner, but way more impactful. AI is already equalizing execution. The differentiation is judgment, creative thinking, and hunger to learn. Those are traits you can't teach. You need people who are curious, who won't leave it alone until they know why, who give a shit.

Output gets diluted when everyone has AI. What matters is taste, storytelling, and the ability to do something emotionally resonant and memorable. That's brand. That's creative. And in a world where AI handles the mundane tasks, that's the exciting place to be.