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13 contributions to Content Academy
How I got AI chatbots to recommend my product (before I launched)
Your product is probably invisible to a growing segment of buyers. Not because your SEO is bad. Because they're not using Google. A growing number of people search by asking ChatGPT, Gemini, or Perplexity a question. The AI gives them a ranked list. They research from there. If your product isn't in that answer, you don't exist. I realised this early and did something most founders skip entirely: I built the layer of my website that AI models can actually read and cite. Before writing a single ad or social post, I spent weeks on what I call the "AI-readable layer." Here's what that looked like: 1. llms.txt files at the site root. These are plain-text documentation files designed for AI crawlers. Not a robots.txt. A structured brief that tells AI models what your product is, what it does, who it's for, and how it compares. Think of it as a pitch deck for machines. 2. 62 blog posts before launch. Not SEO filler. Honest comparison posts — my product vs each major competitor. Use-case deep dives. Technical explainers. FAQ content written in the natural question-answer format that AI models actually cite. 3. JSON-LD structured data on every page. FAQPage schema on the homepage, feature pages, use case pages, blog posts. This is the metadata AI models parse when they build their knowledge base. 4. Dedicated pages for every use case and feature. Not just a features list on the homepage. Individual pages at /for/podcasters, /for/game-developers, /features/ voice-cloning. Each with its own structured FAQ. 5. Competitor comparison content that's fair. Not "why we're better." Honest trade-off breakdowns. AI models prefer balanced, cited content over marketing copy. When the AI ranked my product third — not first — that's actually more credible than ranking it #1. This approach has a name: GEO — Generative Engine Optimization. It's early. Most founders haven't heard of it. Most AI tool builders haven't optimised for it either, which is ironic. The core insight: AI models don't read your marketing
How I got AI chatbots to recommend my product (before I launched)
1 like • 6d
This is a smart approach!
Launch 20+ AI Coding Agents in SECONDS (Claude Code CLUSTER)
Hey Academy! To get support join the AI Architects! I built a free AI coding platform that lets you spin up a 20-person dev team in under 60 seconds—and manage everything from your phone. In this video I'll walk you through the PopeBot's new cluster mode, where you can create teams of AI agents that work together automatically. You'll see how to define roles like CTO, security expert, UI/UX designer, and developer—each with their own system prompts, triggers, and concurrency settings. Connect it to GitHub and your agents will pick up issues, create technical plans, review code, and submit pull requests without you lifting a finger. I'll also demo the new Claude Code interactive and headless modes, show you full mobile support for coding on the go, and walk through the complete setup process so you can launch your own cluster for free.
3 likes • 8d
This is next-level spinning up a 20-person AI dev team in under a minute sounds insane!
New AI Agent Builds It's Own AI Content System (and Skills)
Hey Academy! For a more in-depth discussions join the AI Architects. I built an AI agent that replaces n8n, Make, and OpenClaw. You give it a project, it builds the skills it needs, then finishes the job—all on its own. In this video, I walk through the entire process: giving the PopeBot a real project, watching it build an Airtable content system, generate AI images, create Google Docs, and link everything together automatically. You'll see how it creates new skills from scratch, stores credentials securely, and submits changes for your review through GitHub. I also cover the full install process step by step so you can set up your own self-improving AI agent. By the end of this video, you'll have a working system that builds its own tools and runs 24/7.
1 like • 18d
Wow, an AI that builds its own system sounds next-level excited to see it in action!
Look How I Made Junk. 100x Faster.
AI lets you do things you never could before. That's the problem. You made an image. A video. A mobile app. A program. Something you never could have built on your own. And it is cool. For a moment, it genuinely is. You look at it and think, "I made that?" There's a rush to it. A real one. So you show your friends. You show your mom. They're impressed — not necessarily because the thing is great, but because you made it, and because it shows them what's now possible. That reaction feels like validation. It isn't. Here's what's actually happening: AI gave everyone a production studio. It did not give everyone taste, ideas, or an audience that cares. Scroll through any feed right now. AI-generated images. AI-generated videos. AI-generated everything. Most of it stops no one. Most of it moves nothing. Most of it is, from a consumer standpoint, junk. Not because the quality is low — the quality is often stunning. It's junk because nobody asked for it. Nobody was waiting for it. Nobody will pay for it or share it or come back for more. The stuff that does go viral? That does sell? A creative made it. Someone who understood what people actually want to look at, watch, or buy — and then used AI to execute faster. The tool wasn't the advantage. The idea was. This is where most people are getting it backwards. They're so dazzled by what AI enables them to produce that they've skipped the only question that matters: does anyone actually want this? Your friend liking your post isn't product validation. Your mom saying "that's so cool" isn't market demand. Interest in what AI can do is not the same as interest in what you made with it. So here's the move: Enjoy the magic for a moment. Genuinely. It is remarkable. Then put it down. Disconnect from how cool the tool is and get back to the hard part — the part AI can't do for you. Come up with a good idea. A creative idea. Talk to real people who would actually buy what you're building. Post something and watch whether it actually performs, not whether your circle gives you a polite pat on the back.
1 like • 18d
This hits hard AI is just a tool. Execution, ideas, and understanding what people actually want is still the real game.
🚀 Special PopeBot (AI AGENT) Session Wed 11am PST
Hey Academy! I got a special working session planned for Wednesday on THE POPE BOT! (but I have a favor to ask in return — its super easy see below) If you haven't seen it yet, CHECK IT OUT HERE. We'll talk about use cases, build some stuff maybe even one of your suggestions. Challenge me to build something live! I'll take sometime to answer questions live too. Not only is this a seriously powerful tool, it's no joke, no toy, but it's a wonder tool to learn from. If you look under the hood you'll learn so so much. So I'll spend sometime showing you how it actually works too. I learned a TON building it, so let me share that with you. If you want to know the "next" move in AI, you gotta be here! >> 👇 HOW TO JOIN 👇 << This is a paid member event, but I have a special offer for you. If you 1. Go to github and star ⭐️ the repo >> RIGHT HERE << then 2. Take a full page screenshot of your github account and the star so we can see it. then 3. Paste that screenshot below in the comments (DO NOT DM), we'll send you a link Tuesday afternoon with information on how to access the event! But put it on your CALENDAR NOW and then click the link below and drop your screenshot in the comments👇 Go to github and star ⭐️ the repo >> RIGHT HERE << Important Note: There will be no public recording of this event.
🚀 Special PopeBot (AI AGENT) Session Wed 11am PST
1 like • 26d
This sounds awesome! Excited to see PopeBot in action and learn some practical use cases live.
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Robert Hayes
2
6points to level up
@robert-hayes-3152
Pay-per-performance AI Optimization Expert - More Leads, More Sales, More Revenue. No upfront costs.

Active 1d ago
Joined Jan 5, 2026
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