In early 2022, I was writing landing pages for a SaaS company from the agency side. Four pages. They performed well enough that the company noticed.

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At the time, the product ran on GPT-2.5. Most marketers hadn't heard of it. But I was using it every day and couldn't stop thinking about where this was going for people like me: marketers running lean, trying to do more with less.

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By the end of that year, I'd gone from agency contractor to full-time. By the time GPT-4 hit, I was already deep into building workflows that most marketing teams wouldn't discover for another 18 months.

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When the AI boom exploded in 2023, the company's free tools drove hundreds of thousands of monthly visits. But almost none of it was converting to business. My job became turning that B2C traffic engine into a B2B pipeline machine.

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So I deliberately killed pages driving tens of thousands of visits because they attracted the wrong people.

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Traffic went from 350k to 210k. Pipeline went from effectively zero to $3-4M. I built all the internal marketing workflows. I wrote the content. I was the team.

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In February 2024, I gave a talk at a content marketing conference about using AI in content strategy. The room was hostile. Afterward, I walked my beagle and felt genuine conviction for the first time in my career that I was right and the room was wrong.

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Then the parent company acquired the brand, and I became the SEO team across multiple properties. Still just me. Within five months, organic traffic grew and AEO visibility went from 20 AI mentions per month to 48 and climbing.

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One person. One system. Compounding results.

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That's where this comes from. Not theory. Not a framework I designed on a whiteboard. It came from doing the work, every day, with AI tools before most marketers had opened ChatGPT.

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I started calling it Systems-Led Growth.

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What Is Systems-Led Growth?

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Systems-Led Growth is the practice of building interconnected, AI-augmented workflows that replace the traditional department-by-department approach to go-to-market. Instead of separate teams producing separate content in separate tools, SLG treats your entire GTM motion as one system. A single input flows through structured workflows and produces outputs across the full funnel automatically.

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That sounds abstract, so let me make it concrete.

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A sales call happens. The transcript gets processed through a workflow that extracts objections, feature requests, competitive mentions, and qualifying signals. The CRM updates itself. A personalized follow-up drafts in the rep's voice. At the same time, the recurring themes get tagged and stored. When marketing needs to write a blog post, they're not guessing what prospects care about. They're pulling directly from the words buyers are actually using.

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A podcast episode gets recorded. The transcript flows through a workflow that generates a thought leadership article, a LinkedIn post in the speaker's voice, a newsletter draft, a YouTube description, a landing page, and a set of social clips. One conversation becomes ten assets without anyone starting from a blank page.

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A customer interview happens. The transcript becomes a case study, a quote library, a set of testimonial cards, and a sales enablement resource. All structured, tagged, and searchable so any team member can find the right proof point at the right moment.

None of these examples require a large team. They require a system.

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Why the old playbooks are breaking

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Content-Led Growth said: create great content and traffic will come, leads will follow. It worked when content was scarce and search was the primary discovery channel. It's breaking now because content is infinite and AI is reshaping how people discover information.

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Product-Led Growth said: let the product sell itself through free trials, freemium, and self-serve onboarding. It worked when software was differentiated. It's under pressure now because AI makes it trivially easy to replicate product features.

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Both of these approaches still matter. Content is still important. Product still needs to be good. But neither is sufficient on its own anymore.

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Systems-Led Growth says something different: the competitive advantage isn't the content or the product in isolation. It's the system that connects customer insight to content to sales enablement to retention, and does it with a team of 2 to 10 people instead of 50.

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The companies that win in the AI era aren't the ones producing the most content or building the flashiest product.

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They're the ones whose systems turn every conversation into an asset, every interaction into intelligence, and every workflow into compounding returns.

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Here's the simplest way I can put it: the difference between using AI and building with AI is the difference between a Google search and an operating system.

A prompt is a task. A workflow is a process. A system is a growth engine.

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Most companies are stuck at the prompt level. They use AI to write a blog post faster or summarize a call. That's useful, but it's incremental.

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SLG operates at the system level, where the leverage is fundamentally different.

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Why now, specifically?

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Three forces are converging.

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The talent squeeze is real. Companies have fewer people doing more work. Layoffs, hiring freezes, and budget cuts have created an entire generation of skeleton-crew operators responsible for growth, content, SEO, demand gen, and sales enablement with a team of one to five people.

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These operators don't need another tool. They need a system that makes one person as effective as a department.

AI tools have matured past the novelty phase. In 2023, most people were experimenting. By 2025, the early adopters moved from prompts to workflows to full systems. The gap between "I use ChatGPT sometimes" and "I've built an AI-augmented growth engine" is widening fast. The companies that built systems early are compounding their advantage. The ones that didn't are starting to feel it.

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The discovery layer is fragmenting. Google is no longer the only gatekeeper. AI-powered search engines are surfacing content based on different signals: answer quality, conversational clarity, structured readability. Companies need to optimize for both traditional search and AI-powered discovery simultaneously. That's not a content problem. It's a systems problem.

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All three of these things are happening at the same time. That's the window.

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What I believe

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There are five principles behind SLG. These aren't aspirational. They're the operating rules I use every day.

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1. Systems over hustle.

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I don't celebrate the person who worked 80 hours. I celebrate the person who built a system so they didn't have to. The goal is leverage, not effort.

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2. Specificity over abstraction.

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Real numbers, real screenshots, real stories. "I cut traffic from 350k to 210k and pipeline went to $3-4M" beats "we improved our metrics significantly" every time. If you can't be specific, you probably haven't done the work.

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3. Practitioners first.

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I don't platform career thought leaders or LinkedIn personalities. I platform operators who are in the work. The person running SEO across four properties. The founder shipping product with two people. The consultant building a client's growth engine solo.

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4. Generosity with knowledge.

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The playbooks are the product, but the thinking behind them is open. Giving away the "what" and the "why" builds the trust that makes people want the "how" in detail.

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5. Irreplaceably human.

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In a world where AI can generate anything, we lean into the things only humans can do: tell stories from lived experience, show up in person, build real relationships, admit when we're wrong, and say things that only we can say.

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Who this is for (and who it's not)

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This is for the marketing lead who just inherited a content, SEO, and demand gen mandate with no team and no budget for one.

It's for the SaaS founder who built a great product but doesn't have a marketing co-founder and doesn't want to hire a VP of Marketing at $200k.

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It's for the growth lead at a Series A company who has a Canva account, a Claude subscription, and a mandate to "figure out content."

It's for anyone who has felt the gap between what AI tools can theoretically do and what their actual day-to-day workflow looks like. Who knows there's a better way to connect the dots but hasn't found the playbook yet.

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It is not for enterprise marketing teams with 20-person departments and seven-figure budgets. They have different problems. It's not for agencies selling AI services to clients. And it's not for people looking for a shortcut. Building systems is work. It's just a different kind of work than doing everything manually, and it compounds in a way that manual effort never does.

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Pipes before the chocolate

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I wrote a book called Pipes Before the Chocolate. The title comes from a simple observation about Willy Wonka's factory.

Everyone remembers the chocolate rivers, the Everlasting Gobstoppers, the Fizzy Lifting Drinks. The spectacle. The magic.

Nobody talks about the plumbing.

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But the chocolate doesn't flow without the pipes. The magic doesn't happen without infrastructure. Wonka didn't build a factory that replaced creativity. He built a system that channeled creativity into something bigger than anyone could produce on their own.

That's what SLG is. Lay the pipes first. Build the workflows. Structure the content. Connect the teams. Get the plumbing right.

Then pour the chocolate.

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Content-led growth had its decade. Product-led growth had its moment.

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The next era belongs to the teams that build systems. Small teams with tight architectures. Operators who think in workflows, not tasks. Companies that treat every conversation as an input and every output as connected to everything else.

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This is Systems-Led Growth. And the window to build these systems, while the rest of the market is still debating which AI tool is best, is open right now.

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It won't be open forever.

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