AI is killing traditional media buying faster than most people realize.
Targeting options disappear every month. iOS updates destroy attribution. What used to work with manual research and basic demographic targeting now fails consistently.
The media buyers who are thriving aren't fighting these changes - they're using AI to get ahead of them.
Lyndon, a verified media buyer in our network, generated $10M+ in revenue by treating AI like his research team, not his copywriter. While other media buyers ask ChatGPT to "write better headlines," Lyndon built a systematic workflow that uses AI for market intelligence, consumer psychology, and competitive analysis.
I interviewed Lyndon to understand the exact workflows he's built and actively using to dominate his competition.
Lyndon's Exact 3-Step AI Workflow
Lyndon starts every campaign with deep market intelligence.
Before writing a single ad, he knows exactly who's buying, why they're buying, what stops them from buying, and how competitors are positioning in the market.
This isn't about using AI to write copy. It's about using AI to understand markets better than your competition ever could manually.
Here’s his 3-step process:
Step 1: Deep Product Research With AI: when a client comes to Lyndon, he doesn't start with ad copy. He starts with intelligence gathering:
"I do research on the products with AI, getting an understanding of the consumer base that's out there, getting an understanding of their competitors, getting an understanding of trends as well. What's trending on social media around their product? What's posted on LinkedIn or whatever the product or service may be."
What this looks like in practice: Feed AI the product details and ask it to research the market landscape, consumer behavior patterns, trending topics in the space, and competitive positioning.
Step 2: Customer Avatar Research
"Then from there, I take that information, I plug it into another AI to help me build out a customer avatar, get the emotional pain points, the big idea, the hooks from it."
What this looks like in practice: Take the research output from Step 1 and feed it into a separate AI conversation focused entirely on consumer psychology and emotional mapping.
Step 3: Full-Funnel Messaging Creation
"From there, I built out a landing page and then I use my own knowledge about landing pages that I've seen do well in the past to help guide the AI on what a high converting landing page looks like."
What this looks like in practice: Use the customer insights to inform messaging across your entire funnel - ad copy, landing page copy, video scripts, email sequences - while adding your own conversion knowledge to ensure the output aligns with what actually converts.
The Exact Prompts That Dropped CPL From $70 to $15
Here are Lyndon's word-for-word prompts that generated 75% CPL improvement:
The Product Breakdown Prompt: "Hey, this is my product. What's the big idea of this product? Who's this product for? What's the emotional hooks, pain points of this product?"
The Ad Creation Prompt: "If you were to make Facebook ads to advertise to this consumer with these emotional pain points in mind and the understanding of the product that you have, what would you say in your Facebook ads?"
The power is not in the prompts themselves - it's in the system of gathering information that happens before the prompts are even created.
The AI has context about the market, the psychology, and the positioning before it ever writes a word of copy.
Most media buyers ask AI generic questions and get generic answers. Lyndon feeds AI comprehensive market intelligence first, then asks strategic questions about the messaging it spit out.
Try This
This week, apply Lyndon's research-first approach to one campaign:
- Run his product intelligence prompt on your product to extract market insights and consumer psychology
- Use those insights to inform all your messaging (not just ad copy, but landing page headlines, video scripts, email subject lines)
- Test the research-informed messaging against your current approach across multiple touchpoints
- Track performance differences and expand the research system if you see improvements
The media buyers who master AI-powered intelligence gathering will dominate the next few years. The ones who don't will be left optimizing campaigns based on outdated assumptions and manual research.
Utilize AI to understand your market better, or watch competitors who do take your market share.
For more, watch the full Q&A interview with Lyndon here.
