[AI x Growth Workshop] Inside the Growth System Behind Ramp, Lovable, and Vercel

​Fifteen years of building growth systems at some of the fastest-growing companies in tech went into one methodology. And Marcel Santilli is teaching it live for the first time on July 16th.

​How it started:

​IBM Security Intelligence: $50M in pipeline from less than $1M invested, in a single year. HashiCorp: $6M to $100M in ARR in under two years. Deepgram: 24x traffic growth, 300K newsletter subscribers, 1,000+ AI workflows built from scratch.

​How it’s going:

​When AI search changed how buyers find products, GrowthX built the tool, CheckThat, and ran the research: 1.1M observations across ChatGPT, Perplexity, Gemini, and Google AI (27,142 domains, 313 features) to understand what actually drives citations.

​Every system Marcel built across those 15 years ran on the same set of first principles: context engineering, closed-loop feedback, quality signal over volume. GrowthX is where he codified them. GrowthOS is the product.

​Real client cohorts are already running on it. July 16th is the first time the methodology is being taught outside the rooms companies pay tens of thousands of dollars to be in.

​What we’ll cover:

​🧭 Why most growth programs don’t compound

​The failure pattern is the same everywhere: tools without a system, output without a feedback loop, content without context. It culminates in random acts of content. We’ll break down exactly how it happens, and what it takes to build your way out.

​🏗️ Context Engineering

​Before strategy, before content, before AI workflows, you need a context layer. Your website is the truth layer for AI. Context is what makes it specific instead of generic. We’ll walk through what belongs in it, how to build it, and what breaks downstream when you don’t.

​📊 Growth strategy in practice

​How context becomes cluster strategy. How cluster strategy maps to the prompts your buyers are actually using across all four major AI engines. We’ll draw on our own research: 1.1M observations, 27,142 domains, 313 features.

​⚙️ Execution that doesn’t produce slop

​The specific patterns that kill content quality at scale, and how to catch them before they compound into a credibility problem.

​🔄 Closing the loop

​How the system compounds over time. Context → content → AI and search visibility → audience trust → pipeline → renewal. What to do first if you’re starting today.

​This is the pattern we see in almost every marketing team we work with:

​The tools are fine. The team is fine. There’s a content calendar, an SEO dashboard, maybe a few AI workflows running. But the results stay roughly flat. Every week, more output. Every quarter, same trajectory.

​You can have the most refined tactics, but if the system underneath them is lacking, you won’t get results. There’s no closed loop connecting context to strategy, strategy to content, content to visibility, visibility to pipeline. Without that loop, you’re not compounding.

​GrowthOS is that system, and on July 16th we're teaching the full methodology in a live 2-hour working session.

​It's the system that took Augment Code from invisible in AI search to cited #1 for "best AI coding tool for enterprise" in four months, running in production for Ramp, Lovable, Webflow, Vercel, and SentinelOne.

​Who this is for:

​Marketing leaders and operators at B2B tech companies who have the team and the tools but are still not seeing compounding, system-driven results that actually change the trajectory of the business.

​If you’ve been publishing content, running SEO, adding AI to your workflow, and still can’t draw a clear line from what you’re producing to what’s working. This workshop was built to close that gap.

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​You’ll walk away with:

• ​A clear diagnosis of where your growth approach breaks down, and specifically what's preventing it from compounding

• ​The Context Engineering framework: the foundational layer. that makes every workflow, every piece of content, and every strategy decision more accurate downstream.

• ​A content and cluster strategy model mapped to how buyers are actually searching across Google, ChatGPT, Perplexity, and Gemini.

• ​The execution patterns that separate quality output from slop, and how to catch them before you publish.

​Your Speakers

​Marcel Santilli, CEO, GrowthX

​Marcel is the CEO and co-founder of GrowthX. His 15-year track record is the proof of concept for what he's teaching on July 16th. Every one of those systems ran on the same methodology, getting better with each iteration. GrowthOS is the final product. This is the first time it's being taught publicly.

​Bryan Casey, VP Product Strategy, GrowthX

​Most people assume enterprise companies can't win in AI search. Bryan proved otherwise at IBM, where he built the program that made IBM #1 in AI citation volume, outperforming its own brand baseline by 4x, while growing organic traffic when 90% of websites were losing it. He just joined GrowthX as VP Product Strategy. July 16th is the first time he's talking publicly about how he did it.

​GrowthOS is live now. July 16th is where you see how it works.