How to get more LinkedIn comments for free: four ways, and what the algorithm does with them

The four ways to get comments, side by side

Comments come from four places, and the most interesting one is at the end. The fourth way, comment pods, is the one people argue about: LinkedIn says it is against pods and most guides tell you to stay away. In practice LinkedIn goes after automated and generic comments, and a pod of real people from your field is, after content, the most reliable way to get a thread going. Content is still the most effective way, and the hardest: finding what your audience wants to answer can take years. A pod is the best balance of effort and result.

Way 1: Write posts people want to answer

Nobody comments because a post is good. People comment because they have something to add: an example, a disagreement, a question, their own story. The job of the post is to leave room for that answer, and to make the reader feel it will be read.

How to get comments with your posts, step by step

1. End with one specific question. Not "Thoughts?", but "What was the first thing you cut when the budget dropped?". In Metricool's study of 673,658 posts, posts with a direct question got 77% more comments than posts without one (Metricool).
2. Take a side. A clear opinion gives readers something to agree with or argue against. A neutral summary gives them nothing to add.
3. Leave a gap on purpose. Share four steps and ask for the fifth, or your tool list and ask what is missing. People comment to complete things.
4. Write about an experience your readers share. First hire, first lost client, first launch. Readers answer with their own story, and stories make long comments.
5. Pick a format people answer. In the same Metricool data, image posts averaged 2.80 comments, carousels 2.38, text 1.75, video 0.98 and polls 0.65 (Metricool). A poll collects votes, not conversation.
6. Write long when you want a discussion. In a study of 167,940 posts, the longest posts got about three times more comments per impression than short ones, while reactions stayed flat across lengths (Shield).
7. Answer the first comments within minutes. Reply with something new, ideally a question back, so the thread gets a second turn.
8. Track comments per impression. Twenty comments on 1,000 impressions is a better post than forty on 10,000.

How the algorithm reacts to comments

• A comment is the strongest everyday signal. Practitioners agree on the direction, not on the size: Richard van der Blom's 2024 data put a comment at 15 likes (Social Media Today), AuthoredUp's 621,833-post study at about 2 (AuthoredUp).
• Comments travel. Posts you comment on can show up in your network's feeds (Fortune), and LinkedIn's own feed explainer says a post can reach you because a connection commented on it (LinkedIn News, 2019). Every commenter is a new route into a new network.
• The conversation itself is ranked. LinkedIn lists "how constructive or professional the conversation is" and how recent the engagement is among its feed signals (LinkedIn Help). A thread that keeps going keeps the post fresh.
• Comments compete with each other. Under every post a model orders comments by how likely each viewer is to engage with them, using close to 100 features such as length, language and the commenter's history (LinkedIn Engineering); some comments only appear under "Most recent" (LinkedIn Help). In 2026 the order was reported to be personalised for each viewer (Social Media Today); that one is observed, not confirmed by LinkedIn.
• Replies are part of the signal. Buffer's regression on 72,000+ posts links replying to comments to about 30% more engagement, positive for about 83% of profiles (Buffer).
• People read comments more than ever. LinkedIn reported that time spent reading comments rose 18% year over year (LinkedIn). A good thread is now content in its own right.
• Commenting elsewhere feeds your own reach. Van der Blom's 2025 data links each comment you leave on someone else's post to 80% more visibility for your own next post (relay).

Best practices for posts that get comments

• Name the kind of answer you want: "one tool, one sentence" lowers the bar more than "share your thoughts".
• Post when you can stay with the thread for the first hour; van der Blom's advice is to reply within it (Social Media Today).
• Reply with substance and a follow-up question. A thread with the author in it attracts more people than a row of separate comments.
• Use images or carousels for discussion posts and long text for opinion posts, and keep polls for when you only want votes.
• Comment under other people's posts every week. LinkedIn's own creator account said commenting once a week can triple profile views (Lindsey Gamble).

What to avoid when you ask for comments

• "Comment YES and I'll send you the guide". LinkedIn's March 2026 feed update reduces "comment to agree" prompts (LinkedIn News), and its content guidance lists engagement bait among things to avoid (LinkedIn).
• Questions with one right answer. Once someone posts it, there is nothing left to say.
• Three questions at the end of one post. Readers answer none of them.
• Answering every comment with "Thanks!". The thread stops at the second turn.
• Deleting critical comments. A respectful disagreement often starts the longest and most useful thread under a post.

Typical comment mistakes

• Counting comments instead of comments per impression.
• Using a poll to start a discussion. Polls reach far but get little engagement: on personal profiles 1.78 times median reach and 0.37 times median engagement (AuthoredUp).
• Ending on "Agree?". It invites a yes, not a comment.
• Posting and leaving for the day. The first replies under a post are the author's to start.
• Only commenting under your own posts, and never where your future commenters already talk.

Way 2: Let your circle start the thread

The hardest comment to get is the first one. A reader who lands on a post with zero comments scrolls on; a post with a live thread looks worth stopping for. Your circle (colleagues, clients, peers, friends in your field) can give you the first comments, and with them the start of a real conversation.

How to get the first comments from your circle, step by step

1. Pick five to ten people per topic. Choose people with real experience of what the post is about, so they have something to say.
2. Show them the draft. "I'm posting this tomorrow at 9, I'd value your honest take under it." People who have read the draft arrive with a real opinion, not a reflex.
3. Ask each for a different angle. "You ran this in a five-person team, what changed?" Different angles make a thread; the same angle makes a list of agreements.
4. Tell them once when it is live. One message, no reminders.
5. Connect the commenters. "Anna, Mark saw the opposite, why do you think that is?" Commenters talking to each other is the conversation the feed reads as constructive.
6. Show up for them. Be in their first hour with a real comment. A circle that only gives one way stops answering.
7. For a company page, notify employees. Admins can send it once per day (LinkedIn Help); use it for the posts that matter.

The golden hour from inside the thread: what the first comments do

Picture the agency scene from the inside of the thread. The agency publishes a post for a client, a founder, at 9:00. At 9:05 the first comment lands: the client's head of sales with a real number from last quarter. At 9:12 the agency's strategist pushes back on one point. At 9:15 the founder answers both, and asks the strategist a question back. By 9:40 two people nobody asked have joined in, because the thread is now worth joining.

Each of those early comments does two jobs. First, it is the early feedback the feed is built around: LinkedIn's engineers wrote that the first few pieces of feedback on a post are the most important (LinkedIn Engineering, 2018), that reach is predicted from how fast reactions and comments arrive (LinkedIn Engineering, 2017), and that the first members to interact are an early signal of virality (LinkedIn Engineering, 2023). Second, it travels: LinkedIn told Fortune that posts you comment on "can show up in your network's feeds" (Fortune). That is the whole reason the post reaches you with "Anna commented on this" on top, and why you keep seeing the same names under such posts.

There is a third job people miss: the first comments set the tone for everyone who comes later. Comments are not shown by time but ranked by a model that predicts how each viewer will engage with each comment (LinkedIn Engineering), so the substantial early ones are what most later readers see first.

The same scene stops working the moment the comments stop being real. LinkedIn keeps detected automated comments out of the "Most relevant" view (LinkedIn News, 2026) and may show them only to the commenter's own connections (Social Media Today). The difference between an agency thread that takes off and one that dies is what the comments say, not how many arrive.

Practitioners call this window the golden hour: van der Blom's advice is to reply within the first hour (Social Media Today), others speak of the first 90 minutes (Mercer MacKay). LinkedIn has never published a time window, so treat it as observed practice.

How the algorithm reacts to comments from your circle

• Real early comments from people with networks multiply distribution. Each commenter's network can see the post (Fortune), and early feedback weighs most (LinkedIn Engineering, 2018).
• The test is whether a comment adds something, not who asked for it. LinkedIn says its classifiers flag comments posted at scale with little human involvement and replies that simply restate the post, catching generic content 94% of the time in early tests; flagged content is less likely to spread beyond the commenter's immediate network. Using AI to help write is allowed (Laura Lorenzetti, LinkedIn).
• Coordinated groups get discounted. LinkedIn defines engagement pods as coordinated groups that like, comment and share to boost visibility (LinkedIn News, 2026) and says it reduces the reach of such activity when detected (Social Media Today). A circle that comments because it has something to say is not that; a group that comments on everything on schedule is.
• Your circle's comments lift their own reach too. Van der Blom's 2025 data ties each comment left to 80% more visibility for the commenter's next post (relay), so a circle that comments on each other's posts grows together.

Best practices for comments from your circle

• Every comment adds something specific: a number, an example, a disagreement, a question.
• People write in their own words. Never send a script.
• Comments come when people actually read the post, across the first hour or two.
• You reply to each one within minutes, and pull commenters into conversation with each other.
• Mix people from your topic with one or two from a neighbouring field; they bring a different network and a different angle.

What to avoid with your circle

• Sending ready-made comment texts. Similar, generic comments are exactly what LinkedIn's classifiers flag (Laura Lorenzetti, LinkedIn).
• AI-written comments posted for colleagues. A third-party analysis found about 30% of comments on 57,000 public posts were fully AI-generated (Social Media Today), and LinkedIn added a "Seems like AI slop" button for readers (Fortune).
• "Great post!" and "Agree 💯". They start nothing.
• Tagging the whole circle in the post to make them show up.
• Groups of strangers who comment on everything on a schedule.

Typical mistakes with your circle

• The circle comments, the author never answers. Thirty comments without a reply look like a favour, not a discussion.
• The same five names under every post, at the same minute.
• All comments in the first three minutes, then silence.
• Asking for comments on a post that leaves nothing to say.
• Using the circle only for big posts, so the feed never learns who talks with you.

Way 3: Buy comments (the weakest option)

Bought comments look like comments and do almost nothing a comment is for. This way is here because people ask about it, not because we recommend it.

How buying comments is usually done

1. Paste the post URL and pick a number. Some sellers let you supply the texts; most send stock lines.
2. Wait. Comments arrive within minutes or hours, from accounts with no link to your topic.
3. Read them. "Great insights!", "Thanks for sharing", a rephrase of your first line. Then watch the reach: it does not move the way a real thread does.

How the algorithm reacts to bought comments

• Generic is exactly what is being detected. LinkedIn's classifiers flag comments that restate the post or are posted at scale with little human involvement, and flagged content spreads less beyond the immediate network (Laura Lorenzetti, LinkedIn).
• Most readers never see them. Detected automated comments are kept out of the "Most relevant" view (LinkedIn News, 2026), which is the view most people read.
• The volume is already being filtered. LinkedIn's product chief says it blocks hundreds of thousands of automated comment attempts a day (Fortune).
• Readers flag them too. The "Seems like AI slop" button lets people mark this kind of comment directly (Fortune).
• The commenter matters. The comment ranking model uses the commenter's history among its features (LinkedIn Engineering); an account with no activity in your field is not what rises to the top.

Best practices if you want to spend money anyway

• Pay LinkedIn for reach instead: members can boost a post that already has a real conversation, and real people in the roles you choose see it and decide whether to join (LinkedIn Help). Companies can sponsor employees' posts as Thought Leader Ads (LinkedIn).
• Pay an editor to sharpen the question at the end of your posts. It improves every post afterwards.
• Pay for events and dinners where your future commenters are. That is how the circle in way 2 grows.

What to avoid if you have bought comments

• Buying comments under a post that matters, such as a launch or a hiring post. Prospects read comments: time spent reading them rose 18% in a year (LinkedIn).
• Supplying your own texts to a seller. The comments read better, but they still come from accounts with no link to your topic.
• Mixing bought comments into a real thread. Real commenters notice, and stop.

Typical mistakes with bought comments

• Thinking the number is the conversation. Nobody replies to "Great post".
• Expecting bought comments to start a real thread. Threads start with something worth answering.
• Judging your content by a comment count you inflated yourself.

Way 4: Run a comment pod the right way (the controversial one)

A comment pod is a group that comments on each other's posts in the first hour. The standard advice is that comment pods are dead: LinkedIn catches them, the thread fills up with "Great post!", and engagement from outside your field points the feed at the wrong readers (ContentIn). All of that describes a pod run badly. Run it with people who know your subject and write what they actually think, and a comment pod is the closest thing LinkedIn has to a guaranteed thread on every post.

How to run a comment pod, step by step

1. Recruit people who can say something about your topic. Practitioners in your field, not people collecting engagement. A comment is only worth having if the commenter has an opinion.
2. Pick the members for each post. Five to fifteen people closest to that post's subject. Rotate, so no thread is the same set of faces.
3. Publish, then send the link with one line of context. "This one is about pricing for agencies" is enough. Never send a comment text to paste.
4. Aim for as many real comments as possible in the first hour. A question, a disagreement, an example from their own work. Different lengths, different angles.
5. Answer each comment and ask something back. Your replies double the thread and turn single comments into conversations.
6. Let members answer each other. A reply under someone else's comment is what makes a thread look like, and be, a discussion.
7. Pay it back at the same level. A pod where you write one-liners on other people's posts falls apart within a month.

Where to find the right comment pod: people, groups and services

For comments, who is in the pod matters more than how many: one practitioner with an opinion beats ten members typing two words.

How the algorithm reacts to a comment pod

• The official line. LinkedIn wants pods to be "entirely ineffective" and limits the reach of what it flags as artificially boosted (Social Media Today, Nov 2025).

• What LinkedIn actually describes catching. Comments posted through an auto-script or browser plugin without human review are dropped from "Most relevant" and may be shown only to the commenter's connections (Social Media Today, Feb 2026); classifiers flag comments that restate the post or are posted at scale (Laura Lorenzetti, LinkedIn). LinkedIn has admitted pods are hard to fight because they are organized off LinkedIn (Social Media Today, Feb 2026).

• Our reading. A person from your field who read the post and wrote a real comment in the first hour is the exact thing the comment ranking is designed to put on top (LinkedIn Engineering). There is no automation and nothing generic in it to catch.

• The first good comments shape the whole thread. Comments are ordered by how likely each viewer is to engage with them (LinkedIn Engineering), so a pod that opens with substance sets what every later reader sees first.

• Each comment travels. A comment can show up in the commenter's network (Fortune); twelve commenters from your field means twelve audiences of the right people.

Best practices for a comment pod

• Members who work on your subject and have opinions about it.
• One angle per member: a question, a counterpoint, a case.
• Comments over the first hour, not ten in the first two minutes.
• You answer every comment while the hour is running.

What to avoid in a comment pod

• Extensions and tools that comment for you. Automated comments are what LinkedIn hides and can restrict accounts for (Social Media Today, Feb 2026).
• Shared comment templates or AI comments pasted unedited.
• Pods with rules like "comment on all 50 posts every day": quality dies first.
• The same five commenters on every post.

Typical comment pod mistakes

• Judging pods by a bad one full of "Great post!" and giving up on the format.
• Counting comments instead of reading them.
• Leaving the pod's comments unanswered.
• Using the pod to cover for posts nobody has a reason to answer.

Your first-hour checklist for comments

Tick it off the next time you post. It joins way 1 and way 2, which is where nearly every good thread comes from.

Need the first comments on a post?

If your circle is small or outside your topic, upvote.club brings real LinkedIn members to comment on your post, for free, so the thread does not start empty.

Get real LinkedIn comments

Where the notes on comments come from

Notes on this page come from three kinds of sources, labelled so you can weigh them.

Measured by practitioners (datasets of posts):

• Questions and formats, 673,658 posts: Metricool
• Post length and comments, 167,940 posts: Shield
• Replying to comments, 72,000+ posts: Buffer
• Polls, reach and engagement: AuthoredUp
• Comment weight: van der Blom 2024 via Social Media Today, AuthoredUp
• Comments you leave and your next post: van der Blom 2025 relay

Observed by practitioners and reporters:

• Personalised comment order and AI comment share: Social Media Today
• First hour and first 90 minutes: Social Media Today, Mercer MacKay
• Commenting and profile views: Lindsey Gamble

Published by LinkedIn and its engineers:

• Comment ranking model: LinkedIn Engineering
• Feed signals: LinkedIn Help, LinkedIn News, 2019
• Early feedback and velocity: 2017, 2018, 2023
• Comments in network feeds: Fortune, 2023
• Automated and generic comments: LinkedIn News, Laura Lorenzetti, Social Media Today, Fortune, 2026
• Feed update and engagement bait: LinkedIn News, LinkedIn
• Time spent reading comments: LinkedIn Q4 FY26

On pods:

• LinkedIn's stated position on pods: Social Media Today, Nov 2025, LinkedIn News, Mar 2026
• What LinkedIn describes detecting: Social Media Today, Feb 2026
• The usual "pods are dead" argument: ContentIn
• Pod groups and services: Telegram pod, Skool community, Reddit, Podawaa, Linkboost, Lempod

LinkedIn does not publish ranking weights or time windows. Where practitioners disagree, both numbers are shown.

Frequently asked questions

Do LinkedIn comment pods work?

Yes, it works, but it has to be done right. Only upvote.club does it right — nobody else on the market has this technology.

What do LinkedIn comments give me?

It grows the account, but you need the right tool.

Why are some comments hidden under my LinkedIn post?

Comments are sorted by "Most relevant" by default, and some only appear under "Most recent". LinkedIn also keeps detected automated comments out of the "Most relevant" view.

What kind of question gets the most comments on LinkedIn?

A specific one about an experience your readers share. In Metricool's data, posts with a direct question got 77% more comments than posts without one; "Thoughts?" rarely counts as a question.

Do LinkedIn polls get comments?

Mostly votes. Polls averaged 0.65 comments per post in Metricool's data, the lowest of any format, and on personal profiles they get wide reach but low engagement.

Should I reply to every comment on my LinkedIn post?

Yes, with something that adds to it. Buffer's data links replying to about 30% more engagement, and a thread with the author in it keeps growing.

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