GPT LinkedIn Post Builder: Create an AI Assistant to Write Your LinkedIn Posts
By Romain QUECHON · Published on November 10, 2023 · Updated on September 26, 2026
An AI writing assistant for LinkedIn is a custom GPT that knows your company, the rules of an effective post and your writing style. It does not replace the author. It prepares most of the work, while the person retains control over the substance and voice.
In late 2023, Romain QUECHON created one of the first GPTs of this kind in ChatGPT and named it LinkedIn Post Builder. The goal was to assist him with 90% of the writing for his posts while preserving authenticity and performance. The method remains valid regardless of the tool.
The 3 ingredients of the GPT
| Ingredient | What it contains | Why it matters |
|---|---|---|
| Company context | Tone, values, audiences, customer problems and frustrations | Write for the right audience |
| The rules of a high-performing post | Best practices for reach, engagement and lead generation | Structure every post |
| Your post history | All your previous LinkedIn posts | Preserve your style, tone and personality |
A mega prompt in 8 steps
The core of the GPT is a mega prompt that guides the writing process through 8 successive steps, from the idea to the final post. Each step draws on the three ingredients: context guides the topic, rules structure the post and history adjusts the tone.
Preserve authenticity
The risk with an AI-written post is that it sounds like every other post. Two safeguards address this: your post history anchors the style, and every draft receives a systematic review before publication. AI prepares the draft, and you decide what gets published.
From post to pipeline
In B2B, a post is useful only if it prompts your target audience to engage. Every reaction becomes a signal you can use. See LinkedIn engagement signals and the B2B content strategy.
The Allbound AI platform includes AI-assisted LinkedIn content creation and connects every post to the signals it generates. View the implementation program.
Method limitations
This GPT dates from late 2023. ChatGPT models and its interface have changed significantly since then. An assistant trained on too little history also produces generic posts. The more of your own posts it receives, the better it captures your style.
5 tips to apply this week
- Gather your best posts before creating the GPT. This source material defines your style.
- Describe your target audience and its frustrations in detail, not in three words.
- Give the GPT your structural rules: hook, body and call to action.
- Read every draft aloud. Anything that does not sound like you should not be published.
- Measure engagement from your target audience, not views.
Frequently asked questions about writing LinkedIn posts with AI
Can you write LinkedIn posts with AI without losing authenticity?
Yes, under two conditions: train the assistant on your own post history so it reflects your style, and review every draft before publishing. AI prepares the draft, and the author decides what gets published.
How do you create a GPT to write LinkedIn posts?
Give it three ingredients: your company context, including tone, values, audience and frustrations; the rules of a high-performing post; and your post history. A mega prompt then guides the writing process step by step.
How much of the writing can AI handle?
For Romain QUECHON, the goal was for his GPT to assist with 90% of the writing. The remaining work, including the substance and review, stays human.
Can a LinkedIn post generate B2B leads?
Yes, if it prompts your target audience to engage. Every like or comment becomes an engagement signal that you can score and use in a message based on the post.
Romain QUECHON, founder of Allbound AI (formerly The World of AI). More than 60 clients supported, with 10 to 15 meetings generated per month on average for implementation program clients. See Romain's background · Follow me on LinkedIn