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How To Turn A Breakout Article Into 3 Fresh LinkedIn Posts With "Parallel Pain"
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How To Turn A Breakout Article Into 3 Fresh LinkedIn Posts With "Parallel Pain"

Nicolas Cole's avatar
Dickie Bush's avatar
Nicolas Cole
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Dickie Bush
Apr 07, 2024
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How To Turn A Breakout Article Into 3 Fresh LinkedIn Posts With "Parallel Pain"
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Ahoy Digital Writers!

So, you had a post “pop off?”

Your audience loved it. You received the most likes, shares, and comments since you started posting online. That’s what we like to call… “signal!”

But, now what?

Don’t waste time trying to find something brand new to write.

Instead, give your readers more of what they’ve already told you they want from you.

Double-down on your proven post.

Turn “signal” into more success

For example:

Let’s say you are a veterinarian, and you write a weekly newsletter for your practice. One day, you notice a post about deciding to euthanize a pet is really popular. Your audience is commenting with questions. Customers are mentioning it to you during office visits.

All signs point to the topic striking a nerve with your audience.

So, what related topics pull on the same emotions or problem areas?

How about:

  • Managing a pet’s chronic illness, like diabetes

  • Or making an emergency health decision for your pet

  • Or noticing the early warning signs of disease

And so on.

Each of these problems is related (caring for the illness/injury of a pet) but different (not about euthanasia).

Each problem is the seed for at least 25 new pieces of content.

And with AI, it’s really simple.

All you have to do is teach AI to analyze your content. Then, train it to generate ideas for related but parallel content. And repeat to infinity.

Let’s break it down.

Use AI Turn A Proven Topic Into 25 New Ideas (With A 90% Chance Of Repeat Success)

Ok, so I pulled 90% out of the air.

But it’s at least double the odds.

Whatever the “math” is, when you build on the success of one idea, the “new and related” idea is more likely to work, too.

We are going to do this in 5 quick steps.

Step 1: Train AI To Analyze A Proven Post

The first step is simple. Run the below script.

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