AGENCY GROWTH CLUB
How to Get 9 MILLION LinkedIn Views With This Custom GPT
By Mary-Anne Da’Marzo
By Mary-Anne Da’Marzo
If you scroll through LinkedIn these days, it looks like 90% of people are using AI wrong. The content is generic, the tone is robotic, and it’s obvious very little thought went into the prompt.
As agency owners, we know we need to leverage AI for efficiency, but we cannot afford to sacrifice quality or brand voice.
In the latest episode of the Agency Growth Club, I sat down with Mary-Anne, someone I consider the “Queen of AI Content.” I’ve been sending her short-form videos to my own team for the last six months saying, “Guys, we need to get on this.”
MaryAnne recently cracked the code on viral AI content, generating 9 million impressions on LinkedIn with a single video scripted by a Custom GPT.
But it wasn’t a magic prompt. It was a rigorous system.
In this episode, MaryAnne broke down exactly how she builds AI “brains” to clone herself, why most agencies are falling into the “vibe coding” trap, and the tools she uses to run her agency efficiently.
Here are the best takes from our conversation.
When AI first hit the scene, MaryAnne, like many of us, tried the standard prompting advice: “Act like a viral video scriptwriter and write me a script about X.”
The results were inconsistent, rubbish, and often based on outdated information.
“If you give it a brain, then it can do work to your standard,”
MaryAnne explains. She realized she couldn’t outsource the thinking to AI, only the execution.
To get that 9-million-view result, she didn’t use a magic prompt. She fed a Custom GPT six years of her own best-performing video scripts, analyzed the patterns, and created a framework based on her actual day-to-day work.
The biggest takeaway from this episode is MaryAnne’s methodology for ensuring AI produces work that sounds like her and adheres to her agency’s standards. She calls it the BRAIN framework.
If you want to clone yourself or your senior staff, you need to build this architecture before prompting:
There is a massive misconception that AI replaces the need for senior talent. MaryAnne shared a cautionary tale about a client who hired a cheap developer using AI to build a project for one-third of her agency’s price.
Two months later, the client came back. The front end looked okay, but the back end was broken. The cheap developer had just let AI write code without understanding the underlying architecture, something they now call “Vibe Coding.”
“Yes, you can get AI to do the job,” MaryAnne says. “But if you don’t really know what’s good and what’s bad… the system is going to break.”
You need human expertise to QA the AI’s output. If you don’t know what good copy looks like, you can’t judge if ChatGPT did a good job.
Search is changing rapidly with the rise of LLMs and AI overviews. MaryAnne’s take on how agencies get found in this new era is refreshing: don’t chase snake oil tools promising to rank you in ChatGPT.
Instead, focus on brand consistency.
“Good SEO is good GEO,” she notes. LLMs work on word association. If you want to be cited as an expert in “Korean Skincare,” you need to ensure your brand name appears consistently next to that phrase across podcasts, PR, social media, and your website.
Build a consistent knowledge base across the web that the AI can reference.
Mary-Anne isn’t just theorizing; she’s using these tools daily to run her agency efficiently. Here are a few she shouted out during the episode:
The difference between agencies that will thrive with AI and those that will get “vibe coded” out of existence is the input.
If you are willing to do the hard work upfront—codifying your knowledge, building your frameworks, and training the AI on your standards, you can achieve massive scale. If you just want a quick fix from a generic prompt, you’ll get generic results.
To hear the full breakdown of the 9-million-view story and deep dive into the BRAIN framework, watch the full episode on YouTube.
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