> **What you'll find here.** Not more theory: **concrete LinkedIn comment templates**, sorted by situation. For each case — add an angle, ask a question, share an experience, disagree respectfully, support a peer, warm up a prospect — you get a **realistic example**, why it works, and the "avoid this" counter-example. The examples are **illustrative templates** (personalize them, don't copy-paste), but the principles behind them are measured on our first-party LinkHub data (657,722 real comments). For the full method, read [how to write a good comment](/en/blog/ecrire-bon-commentaire-linkedin); here we go straight to the examples.

## Key takeaways

- **Aim for 15-40 words.** That's the range where a comment becomes useful without becoming a wall of text. A comment of **10+ words weighs clearly more** than a like in the algorithm. *(see [comment length](/en/blog/longueur-commentaire-linkedin-impressions))*
- **A comment is seen ~179 times on average** in front of a qualified audience — far more than the like counter suggests (0.90). *(LinkHub, 657,722 comments — see [comments vs likes](/en/blog/commentaires-vs-likes-linkedin))*
- **Questions generate replies.** On average, **0.71 reply per comment** in our data — and a genuine question that extends the post pushes that number up. *(see [question → replies](/en/blog/question-commentaire-linkedin-reponses))*
- **6 situations cover 90% of your comments**: add an angle, ask a question, share an experience, argued disagreement, support a peer, warm up a prospect.
- **A template is a skeleton, not a script.** Reuse the structure: yes. Copy-paste word for word: no — it shows and it falls flat.
- **Avoid everywhere**: "Great post! 👏", summarizing the post without adding anything, and dropping a link or pitch inside the comment.

## 1. How to read these templates (the 15-40 word rule)

Before the examples, one rule to keep in mind: **15-40 words of substance**. Below ~10 words, your comment is treated like a chatty like; above ~40, you risk the wall of text nobody reads. The useful range is where you have room to **anchor** (reference the post), **add** (an angle, a data point, an example) and sometimes **open** (a question) — without diluting.

Why does it matter? Because reach is earned through substance. An average comment is seen **~179 times** in front of a qualified audience *(LinkHub, 657,722 comments — see [comments vs likes](/en/blog/commentaires-vs-likes-linkedin))*, but a hollow comment, even posted early, triggers no reply and no redistribution. Industry guides say the same: the best comments are "short, personal, and add real value" ([Louise Brogan, 2025](https://louisebrogan.com/linkedin-comments/)).

Each template below follows the same card: **the situation → a good example (15-40 words) → why it works → what to avoid**. Adapt them to your industry and your voice.

## 2. Add an angle or a data point

**The situation.** The post makes a valid but incomplete point. You know a number, a nuance or a mechanism the author didn't mention. This is the highest-ROI comment: you enrich without contradicting.

**Good example:**
> True for B2C. In B2B though, we saw the opposite: our posts published Tuesday morning get ~30% more reach vs the weekend. Audience maturity matters a lot. Are you seeing the same on your side?

*(35 words)*

**Why it works.** You anchor ("true for B2C"), you add a data point from your experience, and you end with an opening. That's exactly the **hook → value → opening** frame guides recommend ([AuthoredUp, 2025](https://authoredup.com/blog/commenting-on-linkedin-posts)). You position yourself as someone who *knows*, not someone who nods.

**Avoid:**
> So true, great analysis! 🙌

No addition. The algorithm treats this kind of comment as engagement noise ([AuthoredUp, 2025](https://authoredup.com/blog/linkedin-algorithm)), and the author forgets it in two seconds. *(If you mostly comment on business prospects, see also [commenting in B2B](/en/blog/commentaire-linkedin-b2b).)*

## 3. Ask a question that extends the post

**The situation.** The post opens a topic but stops at the interesting part. A genuine question revives the discussion — and it's the most underused lever.

**Good example:**
> Key point: you say to "reply fast" to comments. But how do you handle it when a post takes off and you get 80 comments in an hour? Which ones do you prioritize first?

*(34 words)*

**Why it works.** A real question calls for an answer → a thread forms → LinkedIn redistributes beyond the initial audience. In our data, we measure **0.71 reply per comment** on average, and a relevant question pushes that number up *(see [question → replies](/en/blog/question-commentaire-linkedin-reponses))*. Here, the question is **anchored** to a precise sentence of the post — not tacked on.

**Avoid:**
> Right? 😉

A hollow prompt that calls for no real answer. The question must extend the idea, not check a box.

## 4. Share an experience or a concrete example

**The situation.** The post states a general principle. You've lived it. Telling your concrete case adds weight to the post and credibility to your comment.

**Good example:**
> We tested this last year: we went from 3 posts/week to a single, polished one. The result: more reach than before, and far more qualified DM conversations. Consistency mattered less than I thought.

*(33 words)*

**Why it works.** A lived story is memorable and impossible to mistake for a generic comment. It's also a strong **personalization** signal: nobody else could have written this comment. Guides specifically recommend "sharing insights, data or examples from your experience" ([Louise Brogan, 2025](https://louisebrogan.com/linkedin-comments/)).

**Avoid:**
> I confirm, works for me too.

You confirm without showing anything. Without the "how" or the "how much", it offers no proof and sparks no curiosity.

## 5. Disagree respectfully and with an argument

**The situation.** You disagree with the post. Done well, it's one of the most visible comments — nuance attracts replies. Done badly, it's a clash that backfires.

**Good example:**
> I see your point, but I'd add nuance: "reply to every comment" burns you out fast when you post a lot. I'd rather reply fast to the first 10 and like the rest. Same effect on reach, half the mental load. Have you tested that trade-off?

*(46 words)*

**Why it works.** You validate the other person ("I see your point"), you lay out an **argued** disagreement with a concrete alternative, and you open. It's the opposite of trolling: you move the discussion forward. Respectful disagreement generates rich threads — exactly what the algorithm rewards.

**Avoid:**
> No, that's wrong. Doesn't work at all.

A blunt contradiction with no argument or respect. It puts the author on the defensive and invites nobody to reply.

## 6. Support a peer (without falling into "Congrats")

**The situation.** A peer in your niche shares a win, a launch, a lesson. You want to support them — but "Congrats!" doesn't make you exist. Support **with substance**.

**Good example:**
> Congrats on the launch. What strikes me is that you dared to ship in public from v1 instead of polishing for six months. How much useful feedback did that "rough" approach bring you in the first days?

*(36 words)*

**Why it works.** The support is **specific** (you point to what struck you), so it reads as sincere. And you open a question that elevates the other person while feeding the thread. You build a peer-to-peer relationship — the real point of commenting on a social network.

**Avoid:**
> Congratulations, well deserved! 🎉

Kind, but invisible and interchangeable. Ten people wrote the same thing; you created no connection.

## 7. Comment on a prospect's post (warm up the relationship)

**The situation.** You want to get on a prospect's radar. A good comment on their post is **the first handshake** — far more natural than a cold message. No pitch, just genuine interest.

**Good example:**
> Your point about how hard it is to measure content ROI really resonates — it's the #1 blocker I hear from marketing teams. How do you decide today between "last touch" attribution and a more holistic view?

*(36 words)*

**Why it works.** You show you read it, you touch a problem that concerns *them*, and you ask a question that opens a conversation — without ever selling. It's the ideal warm-up before [moving to messages](/en/blog/trouver-clients-linkedin-commentaires) — the exact mechanic of the [comment-to-client path](/en/blog/commentaire-au-client-linkedin). Above all: **never drop a link or a pitch** in the comment, it reduces trust ([Louise Brogan, 2025](https://louisebrogan.com/linkedin-comments/)).

**Avoid:**
> Great topic! We solve exactly that at [BrandX], sending you a link in DM 😉

The disguised pitch kills the relationship before it starts. The prospect comment warms up; it doesn't sell.

## 8. Can you reuse comment templates without sounding robotic?

It's the fair question when we talk "templates." The answer: **yes, if you treat the template as a skeleton, not a script**.

A template gives you the **structure** (anchor → add → open) and the **register** (the situation: angle, question, experience…). What you must bring every time is the **living material**: the precise data point from *your* experience, the exact sentence you quote from the post, the question that truly follows from *that* post. Two comments built on the same template should be **unrecognizable** from each other.

The trap of word-for-word copy-paste is that it's spotted instantly — by the author, by the audience, and soon by the algorithm. A generic comment recycled under ten posts builds no relationship and can be downgraded as engagement noise ([AuthoredUp, 2025](https://authoredup.com/blog/linkedin-algorithm)).

That's exactly the line LinkHub walks with its **[personalized AI comments](/en/features/ia-commentaires-personnalises)**: the AI starts from a solid frame, but **anchors each comment in the specific post** and writes it in **your** voice, not a generic corporate tone. You always approve before publishing — the AI does the first draft, you keep the voice and control. To dig into "keeping an authentic voice despite AI", read [AI comments with an authentic voice](/en/blog/commentaires-ia-ton-authentique-linkedin).

And to apply all this at the right moment, you still need to see the right posts as they go live: that's the job of [personalized feeds](/en/features/feeds-personnalises), which group your prospects and key creators so you can comment early, in the window where reach is decided.

## FAQ

**What are the best LinkedIn comment examples?**
The ones that follow a clear situation: add an angle or a data point, ask a question that extends the post, share a concrete experience, disagree with an argument, support a peer with substance, or warm up a prospect without pitching. Each template runs 15-40 words, anchors a precise sentence of the post, and adds something. These six situations cover the vast majority of your comments.

**How long should these comment templates be?**
Aim for **15-40 words**. A comment of 10+ words weighs clearly more than a like in the algorithm, and it's the range where you have room to anchor, add and sometimes open — without becoming a wall of text nobody reads. See [comment length](/en/blog/longueur-commentaire-linkedin-impressions).

**Can you copy-paste a comment template?**
No — word-for-word copying is spotted and falls flat. Reuse the **structure** (anchor → add → open) and the situation, but fill it with the living material of *that* post: your data point, your exact quote, your own question. The template is a skeleton, not a script.

**Should you always ask a question in your comment?**
No, only when the topic calls for it. When it does, it's powerful: questions call for replies (we measure 0.71 reply/comment on average) and a reply thread pushes reach. But a tacked-on question ("Right?") is useless — see [question → replies](/en/blog/question-commentaire-linkedin-reponses).

**Can you comment on a prospect's post to sell?**
Not directly. The prospect comment **warms up** a relationship: you show you read it, you touch a problem that concerns them, you open a conversation — without dropping a link or a pitch. The sale comes later, in messages. See [find clients through comments](/en/blog/trouver-clients-linkedin-commentaires).

## Sources & methodology

- **First-party LinkHub data** — length (657,722 comments), value/impressions (657,722 comments, ~179 avg impressions), replies (0.71 reply/comment avg), all with measured impressions. The **comment examples are illustrative** (templates to personalize), not measured data. See [length](/en/blog/longueur-commentaire-linkedin-impressions), [comments vs likes](/en/blog/commentaires-vs-likes-linkedin), [question → replies](/en/blog/question-commentaire-linkedin-reponses).
- [AuthoredUp — How to Write LinkedIn Comments That Get Noticed (2025)](https://authoredup.com/blog/commenting-on-linkedin-posts) · [AuthoredUp — How the LinkedIn Algorithm Works (2025)](https://authoredup.com/blog/linkedin-algorithm) · [Louise Brogan — LinkedIn Comment Strategy 2025](https://louisebrogan.com/linkedin-comments/) · [van der Blom — Algorithm InSights Report 2025](https://www.linkedin.com/posts/richardvanderblom_chapter-1-algorithm-insights-report-2025-activity-7322514599126130688-Q895)
- Find all our studies on the [LinkHub blog](/en/blog).