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

Don't Outsource Positioning to the Market—Author It

When Everett Butler joined Lindy as Head of Marketing, the company wasn't just launching a product. It was attempting to define an entirely new category: AI employees. The trap would have been what he calls "over-optimizing for precision"—endless boardroom debates about whether to call it workflow automation, agents, or something else entirely. Butler took the opposite approach.

"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," he explains. The team shipped fast, tested dozens of frames, and let customer behavior lead them to the truth. It's a classic growth approach applied to a brand-new problem: when there's no shared language for what you're selling, you can't wait for the market to hand you the words.

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

Butler's career spans Tesla, Uber, Affirm, and Thumbtack—each a company that had to teach customers a new behavior or reframe an old problem. At Lindy, the challenge is even sharper. AI is transforming work daily, but the customer isn't searching for "AI employees." They're searching for how to scale a sales team without hiring ten more people, or how to improve inbound support efficiency. Lindy had every right to win those long-tail SaaS keywords—but only if the positioning was discreet, bold, and authored internally.

Audit Go-to-Market Across Three Planes

Butler's first move at Lindy was to audit go-to-market readiness across three dimensions: customer clarity, messaging and positioning, and channel economics. Customer clarity meant asking hard questions—Do we have conviction on ICPs and use cases? Where are we guessing? Messaging meant ensuring the product maps to real business pain, not abstract AI promises. Channel economics meant finding at least one acquisition loop that reliably trades dollars for growth.

To gather qualitative inputs, Butler used Lindy itself. The platform listened to sales calls, reviewed churn notes, assessed onboarding flows, and synthesized insights for the marketing team. Paired with hard funnel data on conversion dynamics and leakage, it created a clear map of where to focus resources—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 strict CPM guardrails. The goal wasn't to do everything. It was to distill the essence of an early go-to-market strategy in a space where the ground shifts by the second.

The future is being drafted by the second and the ground is shifting under our very feet. I think in a time like this, it's better to be ambitious and a little outside of your comfort zone in terms of what's possible versus risk falling behind.

— Everett Butler

You Don't Earn the Right to Scale Until You've Found One Reliable Wedge

Butler has a framework for channel selection and sequencing, but he insists context matters more than playbook. At Uber, a two-sided marketplace, the challenge was balancing supply liquidity with demand density. At Affirm, trust was the choke point, so the team invested early in name-brand logos, merchant storytelling, and retail distribution to validate the nascent buy-now-pay-later concept. At Lindy, the friction is education—hard stop.

That means leaning into high-touch, narrative-rich formats: founder-led content, demo-based offers, outbound built around aha moments, and ecosystem education partners. The sequencing principle is simple: you don't layer in complexity until you've found one reliable wedge. Channels follow customer journeys, not the other way around.

Butler's advice cuts against the grain of growth-at-all-costs thinking. He's a generalist who sees the value in retention, in storytelling, in clarity over cleverness. And he's skeptical of marketers who treat brand as unmeasurable or retention as someone else's problem.

You can't scale what doesn't stick. In every org I've led, we treat retention as a growth responsibility, and that means instrumenting onboarding to measure activation quality, not just conversion.

— Everett Butler

Retention Is a Growth Responsibility, Not a Silo

Butler came up as a lifecycle and retention marketer early in his career, and he's watched the growth community slowly realize that LTV and keeping customers around might actually matter. In AI, where dozens of vertical and horizontal solutions are being jammed down everyone's throat, retention is even more critical. Finding the right customers—and keeping them happy, healthy, and whole—is just as crucial as top-of-funnel investment.

At Uber and Affirm, retention was tightly linked to user behavior, so the teams built systems around habits. At Lindy, it's about ongoing utility. The company uses its own product to onboard new users, giving them a live teaser: "By the way, that was a Lindy that just helped you." Activation isn't a moment. It's a motion. And it requires long-term investment to avoid burning dollars at the top of a leaky bucket.

Butler's retention playbook includes instrumenting onboarding to measure activation quality, incentivizing sales and marketing on retained revenue rather than just bookings, and baking success marketing into go-to-market through case studies, proof points, and customer-led content. It's a structural shift, not a tactical one.

AI Frees Marketers to Become Better Storytellers

Butler is optimistic about what AI means for marketers—not because it automates everything, but because it frees up time for creative exploration. His advice to marketers: let AI take the first pass, use the saved time for storytelling experiments, and stay close to the edge. The frontier is advancing by the second. Play with tools, test weird workflows, build intuition through use, and find connections the people who built the tools don't even know about.

He's excited about a world where AI handles the day-to-day mechanics of marketing—because that leaves space for taste, emotional resonance, and memorable creative work. That's brand. That's the future of growth.

Find ways to have it not just be sort of a crutch or a copilot, but something that is like materially freeing up your day and removing some of the just, you know, rout mundane tasks that would have just sucked up 4 hours of your life for absolutely no reason.

— Everett Butler

Butler's universal truths are few but firm. People don't buy products, they buy solved problems. Clarity is better than cleverness. And the closer you are to the customer, the fewer shortcuts you take. At Lindy, that means tight feedback loops across product, sales, and growth. No silos. No outsourcing the hard questions to the market. Just bold bets, fast shipping, and a relentless focus on what sticks.