Who should you comment on on LinkedIn? A study of 4,861 creators (2026)

Methodology in brief. First-party LinkHub data: median impressions per comment by the creator commented on, measured across 4,861 creators who received at least 5 comments from our users (creator_stats_cache table). Complemented by public industry studies, cited and dated. Third-party figures (comment weight, reach distribution) remain estimates — flagged as such.

Key takeaways

• The creator you comment on radically changes your visibility. Across 4,861 creators, the median (p50) creator earns 36 impressions per comment; the top 10% (p90) earns 124 and the top 1% (p99) earns 357. (LinkHub, n = 4,861)
• Commenting on a top 10% creator earns ~3.4x the median (124 vs 36); a top 1%, ~10x (357); the best creator observed, ~42x (1,522).
• The same effort (~29s to write a comment) earns 3 to 10x more depending on the target. Target selection is the most underrated lever.
• Commenting on the big accounts in your niche exposes your comment to their audience — the fastest organic growth. (Botdog, 2025)
• To do: let LinkHub's AI profile recommendation compute your ICP and surface, from 100,000+ profiles, the creators with the best ROI for your niche — then gather them into feeds.

1. Who to comment on: impressions change completely (LinkHub data)

Across 4,861 creators who received at least 5 comments from our users, we measured the median impressions per comment by the creator commented on. The verdict is unambiguous: at identical effort, target selection swings visibility by a factor of 1 to over 40.

Reading. Commenting on the median creator earns 36 impressions per comment. But aiming for a top 10% creator earns 124 — that is ~3.4x more; a top 1%, 357 — ~10x; and the best creator in our base, 1,522 — ~42x. The average (58) is pulled up by this handful of very high-reach creators: which is why the median (36) better describes the "typical" creator.

In other words: you can write the same comment, at the same quality, in the same 30-minute window after publication — if you place it under the right creator, it will be seen 3 to 10x more. Timing matters (see when to comment), but who you comment on weighs at least as much.

2. Why the creator you comment on matters so much

• You borrow the host post's audience. Your comment is distributed to the creator's audience, not just yours. A high-reach creator = a far larger exposed public for the same comment.
• Big accounts in your niche concentrate your ICP. Commenting under a creator followed by your prospects puts you in front of them, where they are already engaged — the first step on the path from comment to client. Per Botdog, this is one of the fastest organic-growth levers: "comment strategically on posts from larger accounts in your niche — your comment is visible to their audience" (Botdog, 2025).
• Reach concentrates on strong creators. Per van der Blom (1.8M posts), "Top Creator" visibility climbed from 15% (2022) to 31% (2025), while "other creator" visibility collapsed from 57% to 28%. (third-party) Commenting where reach concentrates means exposing yourself to the attention flow (see how the LinkedIn algorithm works in 2026).

3. Which creators should you comment on on LinkedIn?

The right creator is not necessarily the biggest by follower count: it is the one that combines niche audience + real engagement on their posts. Practical criteria:

• Niche relevance: their audience = your ICP (prospects, peers, decision-makers). An off-topic top 1% is worth less than a highly engaged niche creator.
• Engagement, not just followers: an account with 8,000 highly active followers can outperform one with 80,000 passive ones. Reach follows engagement, not raw count.
• Posting consistency: a creator who posts often gives you more chances to comment early.

To identify these creators without guessing, LinkHub includes an AI profile recommendation engine. It analyzes your profile and activity to infer your ICP (ideal customer), then searches our base of 100,000+ LinkedIn profiles for those with the best ROI for your niche and business — not just the biggest accounts, but the ones whose audience matches your prospects and whose comments pay off most. No more guessing who to comment on: the AI hands you the right targets, which you then gather into personalized feeds to see their posts as soon as they go live.

4. The method: spot, gather, comment early

1. Spot the right creators — the AI profile recommendation computes your ICP and surfaces, from 100,000+ profiles, those with the best ROI for your niche (method detailed in finding the right posts to comment on).
2. Gather these targets into personalized feeds — you see their posts first.
3. Comment early and well: the 0–30 min window and a 15–40 word comment maximize visibility (see comment vs post).

The right creator × the right timing × the right comment: that is the combination that turns 36 impressions into 124, 357, or more — for the same effort.

FAQ

Who should you comment on on LinkedIn? On the high-audience, high-engagement creators in your niche. Our data (4,861 creators) shows a top 10% creator earns ~3.4x more impressions per comment than the median creator (124 vs 36), and a top 1% ~10x (357).

Does the choice of creator really change visibility? Yes, radically. At identical effort, commenting on a top 1% earns ~10x the median, and the best creator observed ~42x (1,522 vs 36 impressions per comment).

Should you comment on the biggest accounts by follower count? Not necessarily. Aim for the relevant audience (your niche) and real engagement, not raw follower count: a highly engaged niche account often beats a big passive one.

How do I find the right creators to comment on? With LinkHub's AI profile recommendation: it computes your ICP and surfaces, from 100,000+ profiles, those with the best ROI for your niche — which you then gather into personalized feeds.

Sources & methodology

• LinkHub dataset — creator_stats_cache table, 4,861 creators who received ≥5 comments from our users; median impressions per comment by the creator commented on (p50 = 36, p75 = 68, p90 = 124, p99 = 357, max = 1,522, average = 58).
• Botdog — LinkedIn Algorithm 2025 · van der Blom — Algorithm InSights Report 2025

About the author

Yannis Haismann

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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