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Free LinkedIn Comment Writer

Generate three LinkedIn comments that add something to the post, written to match samples of how you already write.

Not sure what to enter?

Paste the whole post. The comment is only as specific as what it has to work with.

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Optional, and the fastest way to stop the comment sounding generic. Your own experience beats anything the model can invent.

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This is the field that matters. Real samples of your writing are what stop the output sounding like everyone else's AI comment. Nothing is stored.

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Free, no signup. Takes about 3 seconds.

What makes a comment worth leaving

A comment is read by the author and by everyone who scrolls past. Both groups are asking the same question: did this person add anything?

Most comments fail that test. They agree, they praise, they restate the post in fewer words. Those cost nothing to write and earn nothing back.

The comments that work do one of a small number of things:

  • Give a concrete example, ideally one with a number in it
  • Name a case where the opposite happened, and say why
  • Explain the mechanism the post described but did not unpack
  • Ask the question the post leaves open, when you genuinely want the answer

Why AI comments get spotted

The problem with most generated comments is not grammar. It is that they are recognisably nobody's.

They open with praise, because praise is safe. They mirror the post's own phrasing back at it. They reach for the same handful of constructions, and they smooth out every rough edge that would have told you a person wrote this.

Two things fix it. The first is a rule: add something the post did not say. The second is harder and matters more, which is sounding like yourself.

The writing samples field is the point of this tool

The field asking how you actually write is not optional decoration. It is the difference between output you can post and output you delete.

Paste two or three comments you have genuinely written before. The generator reads them for sentence length, vocabulary, punctuation habits, whether you use contractions, and how you tend to open. Those are the things that make writing recognisable, and none of them can be inferred from a tone dropdown.

Keep the rough edges in the samples. A fragment, a lowercase start, a habit of trailing off. Those are the parts that read as human, and smoothing them out is exactly what you are trying to avoid.

How to use this generator

  1. Paste the whole post you want to reply to. A truncated post produces a vague comment.
  2. Pick what your comment should do. This changes the output more than tone would.
  3. Add the point you want to make, if you have one. Your own experience beats anything a model can invent.
  4. Paste two or three of your own past comments in the writing samples field.
  5. Generate, then edit the closest one. The generated comment is a draft, and the edit is what makes it yours.

Where commenting actually pays off

Commenting borrows someone else's audience. A good comment on a post with reach puts your name in front of people who have never heard of you, at a cost of about a minute.

That is also its limit. The people who notice you will click your name, and what they find there decides whether the minute was worth it. Comments open the door. Your profile and your posts are what happens after.

So treat commenting as the cheap half of a pair. It works best when there is something worth arriving at.

Frequently asked questions

How long can a LinkedIn comment be?
1,250 characters is the figure independent sources consistently report, though LinkedIn does not document the limit officially and a minority of sources cite a higher number. Treat 1,250 as the safe ceiling. In practice the useful limit is far shorter, because long comments collapse behind a see-more link that most readers never expand.
Will people be able to tell the comment was AI-generated?
They can tell when a comment opens with praise, restates the post, and adds nothing, which is what most generated comments do. This tool is built to avoid those specific failures, and the writing samples field exists so the output carries your habits rather than a model's defaults. It still helps to edit before posting, because the last few words in your own voice are the cheapest insurance there is.
What should I paste into the writing samples field?
Two or three comments you have actually written, separated by blank lines. They do not need to be your best ones, and polished samples are in fact less useful than typical ones. The generator is reading them for how you write rather than what you said, so ordinary comments carry more signal than carefully composed ones.
Can I use it without giving writing samples?
Yes, the field is optional. Without samples the output defaults to a plain, unadorned voice: short sentences and no marketing language. It is usable, but it will not sound like you specifically, which is the whole reason the field is there.
Are my writing samples stored?
No. The samples are sent with the request that generates your comments and are not kept afterwards. The tool records that a generation happened, for usage counts, but it does not retain your inputs as a saved profile.
Is this LinkedIn comment writer free?
Yes, with no signup, no account, and no card. There is a limit on how many comments one connection can generate per minute and per day, which keeps the tool available and affordable for everyone using it.
Should I comment on posts I disagree with?
Often those are the best ones, provided you disagree with something specific and say why. A comment that names a case where the opposite happened gives readers something the post did not, which is the bar any comment has to clear. Disagreeing with the person rather than the claim does the opposite.
How many posts should I comment on per day?
Fewer than most advice suggests. Five genuinely useful comments on posts you have actually read will do more than thirty reflexive ones, because the reflexive ones are visible as such to exactly the people you are trying to impress. Volume is not what makes commenting work.

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