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.
- 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 computes your ICP across 100,000+ profiles and surfaces those with the best ROI — no more manual hunting.
- Gather them into personalized feeds 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.
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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). 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). 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).
- 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.
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. 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).
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, 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).
- 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:
- 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.
- Recent — ideally within 30 minutes (step 5). ~3.8x impressions vs 24h+.
- On a topic where you can add value — an angle, a nuance, an experience (see examples of LinkedIn comments). Avoid "Great post!" which converts no one and which the algorithm files as noise.
- 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 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 surface them from 100,000+ profiles, gather them into personalized feeds, 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).
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).
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). See also how many comments per day.
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.
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 · LinkBoost — LinkedIn ICP Targeting Strategies 2026
- Go further: all LinkHub blog articles.
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 — the full method, automated.
About the author
Founder of LinkHub
Yannis writes about social selling, LinkedIn comments and visibility. He builds LinkHub, the extension that helps you attract qualified clients through your comments.
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