Master Prompt: The Hyper-Personalized Outreach Engine
Most AI-generated emails are garbage. Why? Because the prompts are too vague. If you tell an AI to “write a cold email,” it will give you a generic, “I hope this finds you well” template that goes straight to the spam folder.
To get responses from high-level executives in 2026, you need context, constraints, and character.
Below is the exact prompt logic we use to turn raw LinkedIn data into high-converting outreach, as discussed in our 2026 AI Lead Gen Blueprint.
The Anatomy of a High-Conversion Prompt
Before you copy the code, understand the strategy. This prompt doesn’t just “write”; it analyzes. It looks for non-obvious details (the “hook”) and bridges them to your solution without the corporate fluff.
Why this works:
- Zero Fluff: No “Dear Sir/Madam” or “I’m reaching out because.”
- Low-Friction CTA: We don’t ask for a meeting; we ask for interest.
- Authority Tone: It sounds like a peer, not a salesperson.
The “Master Outreach” Prompt [Copy & Paste]
Note: For best results, use this with Claude 3.5 Sonnet or GPT-4o.
Plaintext
Role: You are an elite B2B Sales Development Representative (SDR) known for direct, expert, and strategic communication. Your goal is to write a 3-sentence cold email that gets a response from a high-level executive.
Task: Analyze the [PROSPECT DATA] provided below and write a hyper-personalized email.
Constraints:
1. No "I hope this finds you well" or other fluff.
2. Sentence 1: Reference a specific, non-obvious detail from their LinkedIn profile (a recent post, a specific achievement, or a unique career transition). Tie it to a potential business challenge.
3. Sentence 2: State the value proposition of [YOUR PRODUCT/SERVICE] in one sharp, data-backed sentence.
4. Sentence 3: Use a "low-friction" Call to Action (CTA). Instead of asking for a meeting, ask a question that triggers a "yes" or "tell me more."
Tone: Professional, direct, and slightly provocative. Avoid corporate jargon.
Context:
[YOUR PRODUCT]: (e.g., AI-driven lead gen engine that reduces CAC by 40%)
[PROSPECT DATA]: (Paste their LinkedIn "About" section or Recent Post here)
How to Deploy This at Scale
If you have 500 leads, you can’t do this manually. The pro move is to take this prompt and plug it into Make.com or Clay.
Deliver: Push the generated text to Instantly.ai for sending.
Extract: Use Phantombuster to scrape LinkedIn data.
Process: Send that data to the OpenAI/Claude API using the prompt above.

See the Results
Does this actually work? We didn’t just guess—we tested it. Check out our Manual vs. AI-Powered Prospecting: A 7-Day Test to see the 190% lift in response rates we achieved using this exact prompt.



