> **The principle.** Finding the right posts to comment on isn't about scrolling the feed at random — it's about **picking the right profiles first**, then seeing their posts the moment they go live. This guide breaks down the targeting method: **who** to comment on (creators whose audience = your ICP), how to **let AI recommend** them, how to **gather them into feeds** so you miss nothing, and **when** to comment to maximize exposure. Every step is backed by our first-party LinkHub studies (impressions, creators, timing).

## Key takeaways

- **The right post starts with the right profile.** Commenting on a top 10% creator earns **~3.4x more impressions** per comment than the median creator (124 vs 36). *(LinkHub, 4,861 creators)* — see [who to comment on](/en/blog/sur-qui-commenter-linkedin).
- **Criterion #1: the audience, not the follower count.** Aim for creators whose followers are **your ICP** (prospects, peers, decision-makers) and whose posts have **real engagement**.
- **Let AI do the sorting.** The [AI profile recommendation](/en/features/ia-recommandation-profils) computes your ICP across **100,000+ profiles** and surfaces those with the best ROI — no more manual hunting.
- **Gather them into [personalized feeds](/en/features/feeds-personnalises)** to see their posts **as soon as they go live**, without scrolling the native feed.
- **Then comment early:** within **0–30 min** = **~3.8x more impressions** than after 24h. *(LinkHub, 261,137 comments)* — see [when to comment](/en/blog/quand-commenter-sur-linkedin).

## 1. Why the "right post" starts with the right profile

The classic mistake: open LinkedIn, scroll, and comment on the first post that goes by. The problem is that a comment's reach depends massively on **who** you comment on — well before the content of the post itself.

Our data quantifies it: across **4,861 creators**, commenting on a **top 10%** creator earns **~3.4x more impressions** per comment than the median creator (124 vs 36), and a **top 1%, ~10x** (357). The same comment, at the same quality, under the right creator, is seen **3 to 10x more** ([who to comment on](/en/blog/sur-qui-commenter-linkedin)). In other words: **finding the right post means first finding the right profile** — an average post from a relevant creator beats an excellent post from an off-topic account.

This matches the field: Louise Brogan recommends spending **~12 minutes a day** strategically commenting on the posts of **prospects and creators in your sector**, not just any viral posts ([Louise Brogan, 2025](https://louisebrogan.com/linkedin-comments/)). The method comes down to four steps: **target the right creators → let AI recommend → gather into feeds → comment early.**

## 2. Target the right creators: audience = your ICP, real engagement

Not all creators are equal. A high-potential post is one published by a creator who combines **two criteria**:

- **Their audience = your ICP.** You want to be seen by your prospects, not by just anyone. A niche creator whose followers are your ideal customers is worth far more than a big generalist account. LinkBoost puts it bluntly: **precision beats raw reach** — *"a post with 500 views from qualified decision-makers is infinitely more valuable than a viral post with 50,000 views from interns and bots"* ([LinkBoost, 2026](https://blog.linkboost.co/linkedin-icp-targeting-strategies-2026/)).
- **Real engagement on their posts.** An account with 8,000 highly active followers often beats one with 80,000 passive ones. Reach follows engagement, not raw follower count. A creator whose posts already spark discussion threads = a larger audience exposed to your comment.

Practical bonus: a creator **who posts often** gives you more chances to comment early. Posting consistency is an underrated criterion for finding good posts continuously.

## 3. Let AI recommend the best profiles

Identifying these creators by hand is laborious: you have to guess who follows whom, estimate engagement, check niche relevance. That's exactly what LinkHub automates with the **[AI profile recommendation](/en/features/ia-recommandation-profils)**.

The engine analyzes your profile and activity to infer your **ICP** (ideal customer), then searches a base of **100,000+ LinkedIn profiles** for those whose audience matches your prospects and whose comments deliver the **best ROI for your niche** — not just the biggest accounts, but the ones combining relevant audience and real engagement. No more guessing who to comment on: the AI hands you the right targets directly.

This is the core of the method: instead of searching post by post, you build a **list of high-ROI profiles** once, then monitor their posts.

## 4. Gather into personalized feeds to see the right posts as they go live

Once the right profiles are identified, the question becomes: **how do you see their posts the moment they go up**, without scrolling the native feed (where the algorithm shows you a bit of everything)?

That's the role of **[personalized feeds](/en/features/feeds-personnalises)**. You gather your target creators and prospects into dedicated feeds, and you see **their posts first**, as soon as they go live. No more hunting for good posts: they come to you, gathered and sorted.

This chain — **AI-recommended profiles → gathered into feeds** — turns "finding the right posts" from a random hunt into a **few-minutes routine**. You open your feeds, you see the new posts from your best targets, you comment. That's what makes the ~12 min/day that practitioners advise sustainable ([Louise Brogan, 2025](https://louisebrogan.com/linkedin-comments/)).

## 5. Comment early, on high-potential posts

Seeing a good post isn't enough: you still have to comment **at the right moment**. Our data is unambiguous: a comment posted within **0–30 min** of publication earns an average of **391 impressions**, versus **104 after 24h** — that's **~3.8x more** ([when to comment](/en/blog/quand-commenter-sur-linkedin), n = 261,137).

The logic: a post gets most of its reach in its first hour. Commenting then means exposing yourself to the post's **audience peak** — where your prospects are reading. The feeds from step 4 put you in exactly the position to comment within the half-hour.

Among your targets' new posts, favor the **high-potential** ones:

- **Relevant topic** for your ICP (you can add a credible angle).
- **Visible early engagement** (the post starts getting reactions → it will climb — see [what makes a post go viral](/en/blog/post-viral-linkedin-statistiques)).
- **Just posted** (you catch the 0–30 min window).

## 6. Which posts should you comment on on LinkedIn?

In short, the right post to comment on ideally ticks these boxes:

1. **Published by a creator whose audience = your ICP** (steps 2-3). This is the most decisive criterion: ~3.4x impressions between a top 10% and the median.
2. **Recent** — ideally within 30 minutes (step 5). ~3.8x impressions vs 24h+.
3. **On a topic where you can add value** — an angle, a nuance, an experience *(see [examples of LinkedIn comments](/en/blog/exemples-commentaires-linkedin))*. Avoid "Great post!" which converts no one and which the algorithm files as noise.
4. **With early engagement** — a post that's taking off will distribute further, and your comment with it.

You don't have to check all of this manually every time: the combination of **AI (who) + feeds (where) + timing (when)** means most posts that surface in your feeds already tick boxes 1, 2 and 4. All that's left is adding a good comment (box 3) — which [personalized AI comments](/en/features/ia-commentaires-personnalises) speed up, always under your validation.

## FAQ

**How do I find the right posts to comment on on LinkedIn?**
Don't scroll at random: start with the **right profiles**. Target creators whose audience is your ICP and whose posts have real engagement, let the [AI profile recommendation](/en/features/ia-recommandation-profils) surface them from 100,000+ profiles, gather them into [personalized feeds](/en/features/feeds-personnalises), then comment on their new posts within 30 minutes.

**Which profiles should you comment on?**
Creators whose audience overlaps your target (prospects, peers, decision-makers) and whose posts generate engagement. Raw follower count matters less than **niche relevance**. Commenting on a top 10% creator earns ~3.4x more impressions than the median ([who to comment on](/en/blog/sur-qui-commenter-linkedin)).

**Should you comment on the most viral posts?**
Not necessarily. A viral post outside your niche exposes you to an unqualified audience. Precision beats raw reach: better to be seen by the right decision-makers than by everyone ([LinkBoost, 2026](https://blog.linkboost.co/linkedin-icp-targeting-strategies-2026/)).

**How long does it take to find the right posts each day?**
With feeds that gather your targets, a few minutes: you open your feeds and immediately see the new posts from your best profiles. Practitioners recommend ~12 min/day of strategic commenting ([Louise Brogan, 2025](https://louisebrogan.com/linkedin-comments/)). See also [how many comments per day](/en/blog/combien-de-commentaires-par-jour-linkedin).

**When should you comment once you've found the right post?**
Within the first 30 minutes after publication: ~3.8x more impressions than after 24h. See [when to comment](/en/blog/quand-commenter-sur-linkedin).

## Sources & methodology

- **LinkHub datasets** — commented creators (4,861 creators: top 10% = 124 vs median 36 impressions/comment), timing (261,137 comments: 0–30 min = 391 vs 24h+ = 104 impressions). An individual post's "potential" is not a numeric score in our data: this guide reasons from the signals we measure (creator, timing) + third-party studies.
- [Louise Brogan — LinkedIn Comment Strategy 2025](https://louisebrogan.com/linkedin-comments/) · [LinkBoost — LinkedIn ICP Targeting Strategies 2026](https://blog.linkboost.co/linkedin-icp-targeting-strategies-2026/)
- Go further: [all LinkHub blog articles](/en/blog).

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**Find the right posts without scrolling.** LinkHub computes your ICP, surfaces the best profiles to comment on from 100,000+, gathers them into feeds to see their posts as they go live, and helps you comment early and well. [Try LinkHub](/en/features/ia-recommandation-profils) — the full method, automated.