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GPT-4: 3 steps to personalizing your outreach on LinkedIn

In today’s newsletter, I’ll share the exact system I use to find personalization elements using GPT-4. By keeping these concepts in mind, you can stop wasting hours on research and use GPT-4 as your own personal assistant.

Follow these steps to get started:

Step 1: Feed the resume of your prospect to GPT-4

You can use any publicly available information about your prospect, but I find that using their LinkedIn profile is a good way to learn about their career, education, and interests.

To export the profile as a PDF, follow these steps:

  1. Go to the LinkedIn profile of your prospect and locate the “More” button.
  2. Click on “More” to reveal a dropdown menu.
  3. In the dropdown menu, select “Save to PDF” to export the profile as a PDF. This works for 1st, 2nd, and 3rd degree connections.
A screen capture

Step 2: Ask GPT-4 to skim the resume

To help GPT-4 build connections between the problems you solve and the information about your prospect, provide some context and instructions using the following prompt:

“Here’s the LinkedIn profile of a prospect. I’m trying to get this prospect to reply to my LinkedIn messages and I need to mention an element of their profile that is relevant to problems I help solve:

  • {problem 1}
  • {problem 2}
  • {problem 3}

Now find me 5 elements from this resume that I could mention to catch their attention. Here’s the resume:

{PDFcontent}”

Here’s an output I got using the prompt above:

Output example

Step 3: Write your message

Now that you know more about your prospect, you can pick an element of personalization that sounds relevant and use it to write your outbound message.

With the example above, I used the point number 4, referring to the experience of my prospect with private tutoring.

Here’s what I wrote:

A message example

Here are the three steps you can follow to save hours of prospect research per week. This approach is also compatible with ChatGPT, so go ahead and give it a try.

I hope this helps.

Cheers,

Thibaut Souyris

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