Write LinkedIn Posts with AI
The practical way to use AI on LinkedIn: start from lived experience, keep your tone, and publish more consistently without generic posts.
In short
To write strong LinkedIn posts with AI, do not ask for a full post from a vague topic. Provide a lived situation, an opinion, examples, and tone constraints. AI should structure your ideas, not invent a personality for you.
The problem is not AI, it is the source material
A LinkedIn post generated from “write me a post about productivity” will almost always be flat. AI has no lived context, tension, or detail to work with. It compensates with clean, interchangeable lines.
The right input is not a topic. It is a situation: a client call, a mistake, a decision, an observation, or a contradiction you actually encountered. That material is what lets a reader recognize how you think.
The four-block voice brief
Before asking for a draft, write down:
- ›what happened, with the context the reader needs;
- ›what you think and the tradeoff you are defending;
- ›two or three phrases you would actually say;
- ›what the post must not become: vague advice, an invented story, or inspirational copy.
Only then ask AI to structure the post. It can suggest a hook, shorten sentences, clarify the progression, and propose genuinely different angles. It should not invent evidence or smooth your wording until it becomes anonymous.
For the broader method, read how to use AI without losing your voice and compare your draft with LinkedIn AI slop examples.
A useful prompt
Ask for transformation, not a personality. Keep the note inside tags so your facts stay separate from the instructions:
`txt
Turn the note between <note> and </note> into a LinkedIn post draft.
Constraints:
- ›keep my phrasing when it is clear;
- ›do not invent numbers, clients, results, or anecdotes;
- ›start with the tension that is actually present in the note;
- ›suggest two hooks and explain the difference;
- ›flag unsupported sentences instead of filling the gap;
- ›end with a question or action only if it feels natural.
<note>
[paste your idea here]
</note>
`
The anti-generic pass
Review the draft in this order:
1. Facts: are the numbers, names, and outcomes verifiable?
2. Voice: would you actually say every sentence out loud?
3. Proof: is there a scene, decision, or limitation only you can add?
4. Promise: do the opening and close say exactly what the body demonstrates?
Use the AI slop checker to find interchangeable phrasing, then test a LinkedIn post rewrite. The tool should speed up your judgment, not replace it.
A routine you can measure
Take three real notes. For each one, record the time spent framing, editing, checking facts, and publishing, then compare it with a post written without an assistant. If the draft is faster but less accurate or less recognizable, the workflow has not improved yet.
Cadence comes later. Choose a schedule your material and conversations can support, then compare a few weeks with similar effort and audience conditions. Do not assume that a fixed frequency mechanically creates more reach.
TheyWillReadMe starts from your past posts and notes to identify phrasing patterns, then turns your material into a draft. You keep review, publishing, and final say. Calibrate your voice signature to give your review a clearer reference.
Frequently asked questions
Is AI risky for LinkedIn?
Writing assistance is not the issue. The risk mostly comes from automating publishing, comments, or messages. Keep human review and publish yourself.
Why do AI posts sound generic?
Because the prompt contains no lived context, opinion, or personal examples. Without specific material, AI produces an average structure that could come from anyone.
They Will Read Me
Draft your next LinkedIn post with a real review step.
The AI proposes a draft in your style. You check it. You publish.
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