RAG for smart outreach

Tired of sending cold outreach that feels generic and irrelevant? Imagine having an AI that really understands your business—your value proposition, your case studies, and your unique pain points—and can create hyper-personalized outreach at scale.

That’s exactly what we’re building in my latest video: a RAG system (Retrieval-Augmented Generation) that learns everything about your business so it can generate outreach messages that feel like you spent hours researching each prospect.

Most AI-generated outreach falls flat because it lacks real context. It sounds like this:

📌"Hey, I help businesses with AI automation. Want to chat?"

❌ No context. No relevance. No chance.

But with RAG, your AI pulls real knowledge from your website, blog posts, customer success stories, and more, allowing it to create messages like this:

📌"Hey John, I saw that your SaaS helps eCommerce stores with abandoned cart recovery. At [Your Business Name], we’ve helped Shopify brands recover 30% more revenue using AI-driven video personalization. Want to see how?"

In the video, I’ll show you a flow:

That collects and structures your business data for AI retrieval

Store it in a vector database like Supabase or Pinecone

How the set up and automation inside n8n works

Want the full automation flow? You can grab the JSON file inside our Skool community, where we’re sharing ready-to-use AI outreach automations every week.

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