Reaction vs comment vs share: the 3 LinkedIn signals ranked (2026)

Methodology in brief. We separate the measured from the estimated. Measured: our first-party LinkHub data (657,722 real comments with impressions) — a comment's raw reach, its likes and replies. Estimated / third-party: the relative weight of the 3 signals (reaction, comment, share) in LinkedIn's scoring. Important: for the share, we have no first-party data — its weight is handled via dated third-party consensus, flagged as such. We never derive a first-party stat from an estimate.

Key takeaways

• The consensus ranking: share ≈ comment > reaction. The comment and the share are the two strong signals; the reaction (like) is the weak one. (van der Blom 2025, AuthoredUp 2025)
• The comment is the signal we can measure. Our data: 179 average impressions (35 median), 0.90 like and 0.71 reply per comment → broad real reach, concrete conversational effect. (LinkHub, n = 657,722)
• The reaction (like) is the weakest signal: passive, a click, ~199 measured impressions for a single like triggered by a comment.
• The share: no first-party data on our side. Consensus ranks it high (it exposes content to a new audience), but public reshare has declined sharply; sharing via DM is valued as a strong-interest signal. (third-party, not first-party verified)
• Sisters to read: comments vs likes (the comment/like duel) and comment vs like weight (the multiplier debate). Here, we add the share and rank all three.

1. The ranking of the 3 signals (consensus)

On the hierarchy of LinkedIn engagement signals, sources converge on an order — not on exact figures. Here's the 2025-2026 consensus ranking:

The comment and the share contend for first place depending on the source; the reaction is unanimously the weakest signal (van der Blom, 2025; AuthoredUp, 2025). Let's break down each.

2. The comment: the only signal we can quantify

It's the signal for which we have solid first-party data. Across 657,722 real comments whose impressions we recorded:

Reading. The average comment is seen 179 times for just 0.90 like — that's ~199 impressions for a single like. And it earns 0.71 reply, almost as many as likes: it's a conversational back-and-forth, exactly the kind of interaction the algorithm values most. It's measured, at scale, and unambiguous: the comment exposes you to a wide audience. Detail in the sister study comments vs likes.

3. The reaction (like): the weak signal, and it's measurable

The reaction sits at the bottom of the hierarchy — everyone agrees on this. It's a passive signal: a click, no thought, no content. In our data, a comment generates 179 impressions for 0.90 like: in other words, the like is rare and cheap as a signal. The algorithm prioritizes relevant comments over vanity reactions (van der Blom, 2025).

The debate over how much the comment weighs vs the like (the famous "2x to 15x" multiplier) is unverifiable from the outside — we settle it honestly in comment vs like weight. What's certain: reaction = weakest of the three.

4. The share: the signal we CANNOT measure (honestly)

Let's be transparent: we have no first-party data on the share. Our dataset covers comments, not reposts. Everything below about the share is third-party consensus, flagged as such.

What the sources say:

• The share exposes content to a new audience. Unlike a like, resharing pushes content beyond the original audience — hence its high value in most rankings (Botdog, 2025).
• Sharing via DM is valued. Sending a post in a private message reads as a strong-interest signal (the content is worth a one-to-one share) — often ranked above the public repost (AuthoredUp, 2025).
• The "naked" public repost has declined. A repost with no added comment contributes little; LinkedIn reduced its impact, favoring reposts with added thought. (third-party, disputed)

Our honest stance: the share is probably a strong signal when it's qualitative (DM, or commented repost), but we cannot quantify it the way we quantify the comment. Be wary of rankings that give a precise "share weight": none has access to LinkedIn's scoring.

5. Which signal should you aim for when short on time?

Practical answer: the comment. Not because it "wins" in absolute terms, but because it's:

• the only one you control at will (you can't force others to share you, but you can comment under whomever you want);
• the only one we measure (179 impressions/comment);
• the most efficient for borrowed reach: a comment posted early under the right creator exposes you to their entire audience (see when to comment and who to comment under).

The like is free but nearly useless as a signal. The share is powerful but depends on others (or requires you to repost with a relevant addition). To steer your visibility actively, the targeted comment remains lever #1.

To put your comments in front of the right audience at the right time, gather your targets in personalized feeds and let AI spot the best hosts via AI profile recommendation.

FAQ

What's the strongest signal on LinkedIn: like, comment or share? The comment and the share are the two strong signals; the reaction (like) is the weakest. The comment is the only one we measure first-party: 179 average impressions, 0.90 like and 0.71 reply per comment (n = 657,722).

Does the share count more than the comment? According to sources, it's neck and neck — the share exposes to a new audience, the comment creates conversation. Honestly, we have no first-party data on the share; we can't settle it with certainty. (third-party consensus)

Why is the like the weakest signal? Because it's passive: a click, with no content or thought. The algorithm prioritizes active interactions (comments, conversations) over vanity reactions (van der Blom, 2025).

What's the difference with your "comments vs likes" and "comment vs like weight" articles? Comments vs likes measures the comment's underestimated value against the like. Comment vs like weight settles the multiplier debate. Here, we add the share and rank all three signals.

Which signal should I focus on if short on time? The targeted comment: it's the only one you control at will, the only measured one, and the most efficient for borrowed reach. See when to comment.

Sources & methodology

• LinkHub dataset — 657,722 real comments with impressions: average 179 / median 35, 0.90 like and 0.71 reply per comment. The share is not measured in our data — its relative weight is handled via third-party consensus only.
• van der Blom — Algorithm InSights Report 2025 (comments prioritized over reactions) · AuthoredUp (2025) (signal hierarchy, DM share) · Botdog (2025) (share = new audience).
• Relative signal weights and share value: unverifiable third-party estimates, cited as directional consensus.
• Sister studies: comments vs likes · comment vs like weight.
• Find all our studies on the LinkHub blog.

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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