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Comment Examples5 min read

Examples of Good LinkedIn Comments (and Why They Work)

Real examples of good LinkedIn comments you can adapt, with a breakdown of why each one earns replies and reach, plus the lazy comments to stop leaving.

Atul Jha

By Atul Jha, Software engineer, Apna Project

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The short version

  • A good LinkedIn comment adds something the post did not already say: a specific reaction, a real question, a counterexample, or a small piece of your own experience.
  • The worst comments are the ones a bot could leave: great post, so true, thanks for sharing. They cost the reader nothing and earn you nothing.
  • Length is not the point. A sharp two-line comment with one concrete detail beats a paragraph of generic praise every time.
  • Ask a question the author would actually enjoy answering, and you turn a comment into a conversation that keeps the post alive and pulls readers to your profile.
  • Good comments are a habit, not a talent. A simple pattern, react to one specific line then add or ask, works on almost any post.

Everyone knows they should comment more on LinkedIn. Then they open a post, the box says "Add a comment," and out comes "Great post, thanks for sharing." That comment does nothing for the author and nothing for you.

The difference between a comment that gets ignored and one that gets a reply is not talent or wit. It is a pattern you can copy. Below are examples of good LinkedIn comments, grouped by what they do, with a note on why each one works so you can adapt it to your own voice.

What makes a comment good, in one rule

A good comment adds something the post did not already say. That is the whole test. A reaction that is specific, a detail from your experience, a respectful disagreement, or a real question all clear the bar. Generic praise does not, because it adds nothing.

The fastest self-check we know: could a bot have written this? If the answer is yes, it is not good yet. We unpack the underlying mechanics in what to comment on LinkedIn, but the examples do most of the teaching.

Examples that add something

These respond to a specific line and bring a piece of the commenter's own world.

"The line about hiring for slope over intercept is going straight into our interview notes. We kept hiring impressive people who stopped growing. How do you actually test for slope in an interview?"

Why it works: it quotes a specific idea, ties it to a real problem, and ends with a question the author will enjoy answering.

"I ran the opposite experiment last quarter and got the same result. Cutting our posting cadence in half raised engagement per post. Counterintuitive until you realize the feed rewards depth over volume."

Why it works: it offers a parallel data point without hijacking the thread. It reads as a peer, not a fan.

Examples that ask a real question

A question turns a comment into a conversation, and every reply keeps the post circulating. The key is asking something the author would actually like to answer, not a lazy "thoughts?"

"This matches what we see, but I am stuck on the edge case: what do you do when the customer who churned was never a good fit to begin with? Do you still count it against retention?"

Why it works: it accepts the premise, then pushes on a genuine tension. That invites a substantive reply.

"Curious what you would change if you had to do this with no budget. The playbook makes sense at scale, but I am doing it solo and cannot buy my way past step three."

Why it works: it makes the author's advice concrete for a different reader, which is useful to everyone scrolling by.

Examples for congratulations and milestones

Milestone posts are where the lazy comments pile up highest, which is exactly why a specific one stands out.

"Congrats on the new role. I still remember your post about being turned down for the last one you wanted. Nice to see the long game pay off. What made this team the right yes?"

Why it works: it references a real detail from their history instead of a generic "congrats." It shows you actually pay attention.

Occasion posts have their own patterns worth learning, and we collected the good and bad versions in what to comment on a LinkedIn congratulations post. The principle is the same everywhere: specific beats generic, always.

Comments to avoid, and why

For contrast, here is what not to leave. None of these are rude. They are just empty.

  • "Great post!" Adds nothing, invites nothing back.
  • "So true." Agreement with no reason is indistinguishable from a bot.
  • "Thanks for sharing." The most automated phrase on the platform.
  • A row of emoji with no words. Reads as a reaction, not a comment.
  • Praise plus an unrelated pitch for your own service. The author sees the motive instantly.

The problem is not politeness. It is that these cost the reader nothing to write, so they signal nothing. And when your whole comment history looks like this, your profile starts to read as automated even if a human typed every word. That perception matters, and we get into it in what is AI assisted commenting.

Turning good comments into a habit

You do not need a new idea for every comment. You need a pattern you can run on any post:

  1. Find one specific line in the post that got a reaction out of you.
  2. React to that line, not the whole post.
  3. Add or ask: one detail from your experience, or one real question.

That is it. React, then add or ask. It works on a data-heavy thought-leadership post and on a two-line personal update alike. The examples above are all just that pattern in different clothes.

The last piece is consistency, and it is the hard one. A great comment once a month does nothing. Showing up in the right threads several times a week is what makes people know your name and click your profile. That is the entire idea behind a real LinkedIn commenting strategy, and it is why we built Commenti to help people keep that habit at a human pace, with an approve mode so every comment still sounds like them. We are honest that no tool makes commenting automatic without risk, and that LinkedIn's terms prohibit third-party automation. What a tool can do is remove the friction that makes people quit. The comments still have to be good. Now you have the examples.

Frequently asked questions

What is a good example of a LinkedIn comment?

One that responds to a specific line and adds something. For a post about a failed launch: "The part about shipping before the docs were ready hit home. We did the same and paid for it in support tickets for a month. What finally forced you to slow down?" It reacts, shares experience, and asks a real question.

What makes a LinkedIn comment good?

It adds value the post did not already contain. That means a specific reaction rather than generic praise, a detail from your own experience, a respectful counterpoint, or a genuine question. Good comments are also readable and human. The test is simple: could a bot have written it? If yes, rewrite it.

How long should a good LinkedIn comment be?

Long enough to say one real thing, short enough to read at a glance. Two to four sentences is a good range. A single sharp observation with a concrete detail outperforms a long comment full of praise. Never pad a comment to look thoughtful. Say the one useful thing and stop.

What comments should I avoid on LinkedIn?

Anything a bot could post: great post, so true, love this, thanks for sharing. Avoid pure emoji, generic praise with no detail, and self-promotion that ignores the post. These read as noise, get no reply from the author, and can make your profile look automated rather than present.

Written by the team building Commenti on real LinkedIn growth data. Found an error? Tell us and we’ll fix it. Accuracy beats winning.

Atul Jha

Atul Jha

Software engineer, Apna Project

Builds software at Apna Project and is a 3x certified Salesforce developer. Writes here on the measurement side of LinkedIn: what moves reach, what does not, and how to tell the difference. Commenti is the LinkedIn comment automation tool by Ampliflow.

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