ChatGPT prompt for repurposing one asset into 3 channels

This is the prompt we use to pull three formats out of a piece that is already written. It turns an article or case study into a LinkedIn post, a tweet thread, and a newsletter blurb, each in your voice and able to stand on its own.

The prompt to copy

Turn this {article/case study} into: (1) a LinkedIn post (150 words, hook first line, no hashtag spam), (2) a 5-tweet thread, (3) a 3-sentence newsletter blurb. Keep our voice; each must stand alone. Source: {paste}

Replace the content type and paste the source. You get three pieces ready to schedule, each sized for its channel.

When to use it

As soon as a piece is published and you want it to live elsewhere without starting over. An article is hours of work: this repurposing pulls three more touchpoints out of it in minutes, instead of letting the content die on a single page.

What you get back

1. A 150-word LinkedIn post, hook on the first line.
2. A 5-tweet thread, one idea per tweet.
3. A 3-sentence newsletter blurb.
4. Three pieces in your voice, each readable on its own.

Real example: case study → three formats

Input: the Brightside case study (an 8-person brand agency) on the Fernhill Coffee rebuild. Léa pastes the full study; here is its results line:

Results: organic traffic +38% over 3 months. Online sales: [NEED METRIC].

Output, the first line of the LinkedIn post:

LinkedIn post. A craft brand can modernise without losing its soul. See Fernhill Coffee: organic traffic up 38% in the three months after the rebrand.

Notice what the AI did not do: it did not fill the gap on online sales. The case study carried a [NEED METRIC] placeholder, so the post leans only on the number that exists, the traffic figure. No invented sales number padded the hook. The source-held rule carries from one format to the next.

This prompt ships inside the kit, alongside the other 49 in the library and the full Brightside worked examples.