ChatGPT LinkedIn rewriter

Scope

What this ChatGPT LinkedIn rewriter does

One post in, one post out. Paste the draft, add up to 300 characters of instruction, press Rewrite, and the rewritten version comes back with no preamble, commentary, quotation marks or code fence around it. Ready to copy.

Five runs per rolling 24 hours, 1 to 12,000 characters per run, free and no account. The text goes to our AI server, which is where the rewrite happens. With five runs a day, the question of which drafts deserve one is a real question, and the next section is about answering it.

Step zero

What to fix before a LinkedIn rewrite can help

A rewriter changes how a post reads. It does not change what is in it. Run through this before spending a run, because three of these four cannot be fixed downstream.

Is there a specific in it?

A number, a name, a date, something that happened to you. Published analyses of the 2026 algorithm consistently point at first-hand substance as what separates a post that travels from one that does not.

Is there an opinion in it?

Something a reasonable person could disagree with. A post nobody could argue with is a post nobody has a reason to respond to.

Is the first line doing work?

Decide what you want the opening to do before you ask for a rewrite, then say so in the instruction. Left unsaid, you get the default opening everyone else gets.

Is it too long for what it says?

This one a rewrite can fix, but only if you name a word count. Nothing in the tool trims by default.

Procedure

How to rewrite a LinkedIn post in three steps

Three steps. Step two is where the quality is decided.

Step 1

Paste the draft into the box on this page. One post per run, up to 12,000 characters, which a post will not approach.

Step 2

Write the instruction. Up to 300 characters, and it is the only steering available, so spend it on constraints rather than adjectives.

Step 3

Run the checklist below on what comes back before anything gets posted. Facts first, then shape.

Steering

Instructions that do real work

There are no presets behind the field. Whatever you type is appended to the request, so it pays to be specific. These are the shapes that change the output most.

A word count

Under 120 words. Rewrites drift longer when nothing constrains them, and length is what a reader judges first in a feed.

Person and punctuation

First person, plain English, no exclamation marks. Concrete rules land where professional or engaging do not.

An opening rule

Start with the number, not a question. This is the single highest-leverage instruction on this route, because openings are where the format's sameness concentrates.

A do-not-touch list

Leave the figures and job titles exactly as written. The tool is instructed to preserve factual claims, and naming the ones that matter is free insurance.

A hashtag rule

No hashtags, or keep the three at the end. Published analyses suggest one to three chosen for relevance rather than a block.

Verification

What to check in the returned LinkedIn post

Read it against the original rather than on its own. On its own, a fluent rewrite always reads fine.

Every number

Percentages, headcounts, revenue, dates, durations. These are the easiest things to smooth into something almost right.

Names and titles

Company names, product names, job titles, who did what. A reworded sentence can quietly reassign credit.

Claims you would not make

Check nothing has been strengthened. An outcome that was partly true in your draft should still be partly true in the rewrite.

The opening line

Read the first line alone, out of context. That is how it will appear in a feed before anyone taps to expand.

Your voice

If it no longer sounds like you, the instruction was too vague rather than the tool being wrong. Tighten it and run again.

Context

Platform mechanics worth knowing before you post

These come from published analyses of LinkedIn's 2026 algorithm, not from this tool and not from anything we can measure. They are reported here as those analyses report them.

External links

Reported at roughly 60 percent less reach for posts linking off the platform, with the link-in-first-comment workaround described as detected.

Hashtags

One to three chosen for contextual relevance, rather than a block at the end.

The first half hour

The first 30 to 60 minutes after publishing described as the critical window for early engagement.

Dwell time

Reported as the currency now: posts averaging 61 seconds or more of dwell time at 15.6 percent engagement, against 1.2 percent for posts skimmed in under three seconds.

How the penalty works

Described consistently as suppressed distribution rather than removal. Posts are not deleted and accounts are not sanctioned, the content just travels less far.

Straight answer

Will a rewrite get a LinkedIn post past the AI check?

No claim is made about that here. LinkedIn's ranking system belongs to LinkedIn, we cannot test it, and predicting a third-party classifier's verdict on your post is not something this tool does or should pretend to do.

The reported picture points somewhere more useful anyway. Analyses of the 2026 changes agree that using an AI tool is not itself the trigger; content without first-hand substance is. That puts the fix in the draft rather than in the rewrite.

So the honest workflow is: get something worth saying, then use a run to make it read well. Not the other way round, and no number of runs substitutes for the first half.

In practice

When a LinkedIn rewrite is worth a run

When you have written something true and shapeless. Substance present, form wrong, which is exactly what a rewrite fixes.

When an internal update has to become a public post. The facts are locked and only the register moves, so a do-not-touch instruction does most of the work.

When a chatbot handed you something that could be about any company in any industry. Put your specifics back in first, then rewrite. Rewriting an empty draft just produces a better-written empty draft.