LinkedIn creator

Post LinkedIn lead magnet · marketing-automation

🔥 From a single product photo to a polished video ad in 4 minutes flat. Most marketers are stuck in the content trenches while performance leaders are building AI systems. Here's exactly how I created a high-converting video ad for Earth Rated Dog Wipes in under 4 minutes: ✅ Started with ONE product photo ✅ Generated 4 on-brand AIDA prompt variations ✅ Fed them into GPT-4o for pixel-perfect copy ✅ Dropped everything into Product Scope Studio Video The result? A professional video ad 90% of marketers can't match with their entire team. Brands using this exact workflow see: 📊 3X more creative assets 📈 50% lower cost-per-acquisition ⏱️ 75% reduction in production time This isn't just faster—it's better. Way better. The gap between marketers who master these AI workflows and those who don't is widening every day. This system delivers: 1️⃣ Brand-consistent messaging that converts 2️⃣ Production speed that outpaces competitors 3️⃣ Cost savings that transform your marketing budget 4️⃣ Scalability across your entire product catalog This is what the future of performance marketing actually looks like. 👉 𝗖𝗼𝗺𝗺𝗲𝗻𝘁 "AI" below and I'll send you the complete workflow, including my prompt templates and tool stack. Note: Please Connect with Me so I can send you the Link. ♻️ Repost if you're ready to transform your marketing workflow forever.

Mécanisme lead magnet

👉 𝗖𝗼𝗺𝗺𝗲𝗻𝘁 "AI" below and I'll send you the complete workflow, including my prompt templates and tool stack.

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I built an AI content engine that generates consistently $2M+ monthly pipeline from LinkedIn - without a single marketing hire. If you're still treating AI like a dumb content generator, you're leaving millions on the table. In this post I will teach you how I use Claude to write LinkedIn posts that generate over 1M monthly impressions consistently and millions in monthly pipeline. Most people treat LLMs like vending machines - throw in a prompt, get output, move on. But after hundreds of LinkedIn posts and over 10M impressions in 2025, I've learned what actually works. And it's not better prompts. It's better context engineering. My context engineering runs on three layers: past conversations, reusable knowledge, and instructions. Conversations: running inside a dedicated Claude Project means Claude can access our previous work without cross-contamination from unrelated threads - every conversation compounds the context, and Claude picks up gems from posts we've already refined together. Reusable Knowledge: I build (using Claude) reusable knowledge as "skills" - my content pillars, brand voice, example posts etc. So instead of dumping everything into every prompt, Claude pulls only what's relevant to the task at hand. The more skills Claude has, the better it gets (which is the opposite if it's in the prompt). Instructions: My instructions are optimized for Human+AI collaboration, not generic LLM output. First, I force Claude to think creatively before responding, then follow an opinionated collaborative workflow (attached below), and finally ensure that it extracts the right human feedback from me at the right time. Caveat: this system generates 1M+ impressions monthly and drives millions in pipeline - but only because I have a point of view worth amplifying. Remember - without something original to say, the best architecture in the world just produces polished noise. Want the full guide - my exact instructions, skill templates, and collaborative workflow? Comment "engine". I know, I know - the comment thing. Algorithm's gonna algorithm. Don't hate the player, hate the game. Play along and I'll make it worth your time. (Connect first if we're not already)

Want the full guide - my exact instructions, skill templates, and collaborative workflow? Comment "engine".

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