# How to get free LinkedIn comments: four ways, and how LinkedIn treats each one

> Four ways to get free LinkedIn comments in 2026: posts people answer, your own circle, paid services and comment pods, and what LinkedIn’s feed does with each.

Source: https://linkedinlikes.com/get-free-linkedin-comments · Updated: 2026-11-12

## Key takeaways

- In Metricool’s study of 673,658 LinkedIn posts, posts with a direct question got 77% more comments than posts without one.
- Image posts averaged 2.80 comments, carousels 2.38, text 1.75, video 0.98 and polls 0.65 in the same Metricool data.
- LinkedIn says its classifiers caught generic comments 94% of the time in early tests, and detected automated comments are kept out of the “Most relevant” view.
- Buffer’s analysis of 72,000+ posts links replying to comments with about 30% more interaction, positive for about 83% of profiles.
- LinkedIn reported that time spent reading comments rose 18% year over year.

To get free LinkedIn comments, write posts that leave readers something to add, ask a few people from your field to open the thread in the first hour, and reply to every comment with something new. Paid comment services are the weakest route, and a comment pod made of real people from your field sits between the two in effort.

## How do the four ways to get LinkedIn comments compare?

Comments come from four sources, and the one people argue about most is last. LinkedIn says it opposes comment pods, and most guides tell you to avoid them. What LinkedIn describes going after, though, is automated and generic commenting. A pod of real people from your field is, after strong content, the most dependable way we know to start a thread. Content stays the most effective route and the slowest: learning what your audience wants to answer can take years.

| Route | What you end up with | What the feed does with it | Our verdict |
| --- | --- | --- | --- |
| 1. Posts people want to answer | A thread of readers who have something to add | Comments carry the post into each commenter’s network, and an active thread keeps it fresh | The most effective and the slowest; finding what people answer can take years |
| 2. Your own circle | The first comments that open the thread | Early, thoughtful comments from people with networks push the post past your own followers | The best way to open a thread |
| 3. Paying for comments | A number under the post | LinkedIn filters generic and automated comments out of “Most relevant”, and they travel less | The weakest option; leave it out |
| 4. A well-run comment pod | Real comments from people in your field during the first hour | A thoughtful early thread is what comment ranking brings to the top and carries furthest | The best trade-off between effort and result |

## Way 1: How do you write LinkedIn posts people want to answer?

People rarely comment just because a post is good. They comment when they have something to add: an example, an objection, a question or a story of their own. A post should leave room for that answer and make the reader feel the author will read it.

### Step by step: getting comments with your posts

1. **End on one precise question.** “Thoughts” as a closing word gives people little to go on; asking which expense they cut first when the budget shrank gives them a story to tell. Metricool’s study of 673,658 posts found 77% more comments on posts with a direct question than on posts without one ([Metricool](https://metricool.com/linkedin-trends/)).
2. **Pick a side.** A clear opinion gives readers something to agree with or push back on. A neutral summary leaves them nothing to add.
3. **Leave something unfinished.** Give four steps and invite the fifth, or list your tools and ask readers which one you missed. People like to complete a list.
4. **Write about an experience your readers have had.** A first hire, a first lost client, a first launch. Readers answer with their own story, and stories make for long comments.
5. **Pick a format that invites replies.** Metricool’s averages per post: 2.80 comments for images, 2.38 for carousels, 1.75 for text, 0.98 for video and 0.65 for polls ([Metricool](https://metricool.com/linkedin-trends/)). A poll gathers votes and very little discussion.
6. **Write longer posts when you want discussion.** Shield looked at 167,940 posts and found the longest ones drew roughly three times as many comments per impression as short ones, with reactions about the same at every length ([Shield](https://theshieldindex.beehiiv.com/p/does-linkedin-post-length-actually-matter)).
7. **Reply to early comments fast.** Within minutes, add something new to each one, ideally a question of your own, so the thread continues past the first exchange.
8. **Track comments per impression.** Twenty comments on 1,000 impressions is a stronger post than forty on 10,000.

### What does LinkedIn’s algorithm do with comments?

- **A comment is the strongest everyday signal.** Practitioners agree on the direction and disagree on the size. Richard van der Blom’s 2024 data valued one comment at 15 likes ([Social Media Today](https://www.socialmediatoday.com/news/linkedin-tips-algorithm-performance/707201/)), while AuthoredUp’s study of 621,833 posts put it at about 2 ([AuthoredUp](https://authoredup.com/blog/linkedin-algorithm)).
- **Each comment carries the post further.** LinkedIn told Fortune that posts you comment on can surface in your network’s feeds ([Fortune](https://fortune.com/2023/02/23/commenting-for-reach-responses-linkedin-posts-pushback-jobs-layoffs-even-emoji-better/)), and its 2019 feed explainer notes that a post may reach you because one of your connections commented ([LinkedIn News, 2019](https://news.linkedin.com/2019/January/what-s-in-your-linkedin-feed--people-you-know--talking-about-thi)). Every commenter is a door into another network.
- **LinkedIn ranks the discussion itself.** Its Help page names “how constructive or professional the conversation is” as a feed signal, next to how recent the activity is ([LinkedIn Help](https://www.linkedin.com/help/linkedin/answer/a1339724)). Threads that stay active keep the post fresh.
- **Comments are ranked against each other.** LinkedIn Engineering describes a model that sorts the comments under a post by the chance that a given viewer will interact with each one, drawing on close to 100 features, among them length, language and the commenter’s history ([LinkedIn Engineering](https://www.linkedin.com/blog/engineering/feed/serving-top-comments-in-professional-social-networks)). Some comments appear only when the reader switches to “Most recent” ([LinkedIn Help](https://www.linkedin.com/help/linkedin/answer/3068)). Social Media Today reported in 2026 that the order is now personalised for each viewer ([Social Media Today](https://www.socialmediatoday.com/news/linkedin-updates-feed-display-to-drive-more-post-replies-and-comments/827394/)); LinkedIn hasn’t confirmed that, so treat it as observed.
- **Your replies count.** Buffer’s regression on more than 72,000 posts links replying to comments with about 30% more interaction, and the effect was positive for about 83% of profiles ([Buffer](https://buffer.com/resources/linkedin-engagement-data/)).
- **People read comments more than before.** LinkedIn reported that time spent reading comments grew 18% year over year ([LinkedIn](https://news.linkedin.com/2026/q4-earnings-and-business-highlights)), so a good thread now works as content on its own.
- **Commenting on other posts helps your own.** Van der Blom’s 2025 data links each comment you leave on someone else’s post to 80% more visibility for your next post ([relay](https://thelinkedinsecrets.com/p/ls-47-linkedin-algorithm-insights)).

### Habits that bring comments

- Say what kind of answer you want. “One tool, one sentence” is an easier ask than “share your thoughts”.
- Publish when you can stay with the thread for the first hour; van der Blom advises replying within it ([Social Media Today](https://www.socialmediatoday.com/news/linkedin-tips-algorithm-performance/707201/)).
- Reply with something real and a follow-up question. A thread the author takes part in draws more people than a row of separate comments.
- Use images or carousels for discussion posts, long text for opinion posts, and polls only when votes are all you want.
- Comment on other people’s posts every week. LinkedIn’s own creator account said commenting once a week can triple profile views ([Lindsey Gamble](https://www.lindseygamble.com/blog/linkedin-shares-commenting-can-triple-profile-views)).

### What to avoid when you ask for comments

- Lines like “Comment YES and I’ll send you the guide”. LinkedIn’s feed update from March 2026 shows fewer “comment to agree” prompts ([LinkedIn News](https://news.linkedin.com/2026/ImprovingTheFeed)), and LinkedIn’s content guidance names “engagement bait” as something to avoid ([LinkedIn](https://www.linkedin.com/blog/content-recommendations-avoid)).
- Questions with a single right answer. Once someone posts it, nobody has anything left to say.
- Three questions at the end of one post. Readers end up answering none.
- Replying “Thanks” to every comment. The thread stops after the second turn.
- Deleting comments that disagree with you. A polite objection often opens the longest and most useful discussion under a post.

### Common mistakes

- Counting comments and ignoring comments per impression.
- Using a poll to start a discussion. Polls reach far and get little response: on personal profiles they reach 1.78 times the median and get 0.37 times the median interaction ([AuthoredUp](https://authoredup.com/blog/linkedin-polls)).
- Ending with a one-word “Agree”, which invites a yes and nothing more.
- Publishing and disappearing for the day. The first replies under a post are the author’s job.
- Commenting only under your own posts and never where your future commenters already talk.

## Way 2: How can your own circle start the comment thread?

The first comment is the hardest one to get. A reader who finds a post with zero comments moves on, while a post with an active thread looks worth stopping for. Your circle (colleagues, clients, peers and friends in your field) can write those first comments and get a real conversation going.

### Step by step: first comments from your circle

1. **Choose five to ten people per topic.** Pick people with real experience of the subject, so they have something to say.
2. **Share the draft.** Tell them you are posting it tomorrow at 9 and would value their honest take underneath. People who have read the draft arrive with a real opinion, not a reflex.
3. **Ask each person for a different angle.** Ask one of them what changed when they tried it in a five-person team. Different angles make a thread; one angle repeated makes a list of agreements.
4. **Tell them once when it is live.** One message, no reminders.
5. **Get commenters talking to each other.** Ask Anna why she thinks Mark saw the opposite. Commenters replying to each other is the kind of conversation the feed reads as constructive.
6. **Return the favor.** Show up in their first hour with a real comment. A circle that only gives in one direction stops answering.
7. **For a company page, notify employees.** Admins can send this notification once a day ([LinkedIn Help](https://www.linkedin.com/help/lms/answer/a549372)), so save it for the posts that matter.

### What the first comments do in the first hour

Here is how it looks from inside one thread. An agency posts on behalf of a client, a founder, at 9:00. Five minutes later the client’s head of sales replies with an actual figure from the previous quarter. At 9:12 a strategist from the agency questions one part of the argument. The founder responds to both at 9:15 and turns a question back to the strategist. By 9:40, two people who were never asked have joined in, since the thread now looks worth joining.

Every one of those early comments works in two ways. First, it feeds the signals the feed runs on. In posts on the LinkedIn Engineering blog, the company’s engineers called the first few pieces of feedback on a post the most important ones ([LinkedIn Engineering, 2018](https://www.linkedin.com/blog/engineering/member-customer-experience/linkedin-feed-with-creator-side-optimization)), described estimating reach from the speed at which reactions and comments come in ([LinkedIn Engineering, 2017](https://www.linkedin.com/blog/engineering/feed/strategies-for-keeping-the-linkedin-feed-relevant)), and named the first members who interact as an early clue that a post may go viral ([LinkedIn Engineering, 2023](https://www.linkedin.com/blog/engineering/trust-and-safety/viral-spam-content-detection-at-linkedin)). Second, it carries the post outward: LinkedIn told Fortune that posts you comment on “can show up in your network’s feeds” ([Fortune](https://fortune.com/2023/02/23/commenting-for-reach-responses-linkedin-posts-pushback-jobs-layoffs-even-emoji-better/)). This is why a post lands in your feed with “Anna commented on this” at the top, and why you keep seeing the same names under posts like it.

The third job is easy to miss: the first comments set the tone for everyone after them. Comments aren’t listed by time. A model ranks them by how each viewer is likely to interact with each one ([LinkedIn Engineering](https://www.linkedin.com/blog/engineering/feed/serving-top-comments-in-professional-social-networks)), so the thoughtful early ones are what most later readers see first.

None of this works once the comments stop being genuine. When LinkedIn detects automated comments, it leaves them out of the “Most relevant” view ([LinkedIn News, 2026](https://news.linkedin.com/2026/authentic-content-and-conversations)), and Social Media Today reports they may be shown only to the commenter’s connections ([Social Media Today](https://www.socialmediatoday.com/news/linkedin-outlines-more-measures-to-combat-engagement-pods/812290/)). An agency thread that grows and one that dies usually differ in what the comments say, and much less in how many arrive.

There is no official deadline. Van der Blom’s advice is to reply during the first hour ([Social Media Today](https://www.socialmediatoday.com/news/linkedin-tips-algorithm-performance/707201/)), Mercer MacKay points to the first 90 minutes ([Mercer MacKay](https://mercermackay.com/thinking/blog/a-leaders-guide-to-the-linkedin-algorithm-what-the-data-says/)), and LinkedIn itself has never named a time window, so this is observed practice.

### How does the algorithm treat comments from your circle?

- **Real early comments from people with networks multiply distribution.** Each commenter’s network can see the post ([Fortune](https://fortune.com/2023/02/23/commenting-for-reach-responses-linkedin-posts-pushback-jobs-layoffs-even-emoji-better/)), and early feedback weighs the most ([LinkedIn Engineering, 2018](https://www.linkedin.com/blog/engineering/member-customer-experience/linkedin-feed-with-creator-side-optimization)).
- **LinkedIn checks whether a comment adds anything.** Who asked for the comment doesn’t matter. Its classifiers look for comments posted in bulk with little human input and for replies that only repeat the post; in early tests they caught 94% of generic content, and flagged comments are less likely to travel past the commenter’s own network. Getting AI help to write a comment is allowed ([Laura Lorenzetti, LinkedIn](https://www.linkedin.com/pulse/keeping-conversations-real-linkedin-laura-lorenzetti-9821e/)).
- **LinkedIn discounts coordinated activity.** In its 2026 news post, LinkedIn describes “engagement pods” as coordinated groups whose members like, comment and share to raise each other’s visibility ([LinkedIn News, 2026](https://news.linkedin.com/2026/authentic-content-and-conversations)), and Social Media Today reports that LinkedIn cuts the reach of that activity once detected ([Social Media Today](https://www.socialmediatoday.com/news/linkedin-limit-visibility-of-comments-made-via-automation-tools/758207/)). A circle that comments because it has a view is a different thing from a group that comments on everything at set times.
- **Commenting lifts your circle’s reach too.** Van der Blom’s 2025 data ties each comment left to 80% more visibility for the commenter’s next post ([relay](https://thelinkedinsecrets.com/p/ls-47-linkedin-algorithm-insights)), so a circle that comments on each other’s posts grows together.

### Habits for comments from your circle

- Each comment adds something concrete: a number, an example, a disagreement or a question.
- People write in their own words, and you never send a script.
- Comments arrive as people actually read the post, spread across the first hour or two.
- You answer each one within minutes and draw commenters into talking with each other.
- Mix people from your topic with one or two from a neighbouring field, who 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](https://www.linkedin.com/pulse/keeping-conversations-real-linkedin-laura-lorenzetti-9821e/)).
- Pasting AI-written comments in your colleagues’ names. Social Media Today cites a third-party analysis in which about 30% of comments across 57,000 public posts were written fully by AI ([Social Media Today](https://www.socialmediatoday.com/news/linkedin-updates-feed-display-to-drive-more-post-replies-and-comments/827394/)). LinkedIn has also given readers a “Seems like AI slop” button ([Fortune](https://fortune.com/2026/07/31/linkedin-seems-like-ai-slop-button-billions-automated-comments-attempts/)).
- “Great post” and “Agree 💯”, which start nothing.
- Tagging your whole circle in the post to make them show up.
- Groups of strangers who comment on everything on a timetable.

### Common mistakes with your circle

- The circle comments and the author never answers. Thirty unanswered comments look like a favor, and nobody reads them as a discussion.
- The same five names under every post, at the same minute.
- Every comment in the first three minutes, then silence.
- Asking for comments on a post that leaves nothing to say.
- Calling on the circle only for big posts, so the feed never learns who talks with you.

## Way 3: Should you pay for LinkedIn comments?

Paid comments look like comments and do almost none of what a comment is for. We cover them because people ask, and we advise against them. LinkedInLikes doesn’t sell comments, and points can’t be bought.

### What a paid comment service usually delivers

1. **You send the post link and choose a number.** A few sellers let you supply the texts; most send stock lines.
2. **The comments arrive** within minutes or hours, from accounts with no connection to your topic.
3. **You read them:** “Thanks for sharing”, “Love this”, a reworded version of your first line. The reach doesn’t move the way it does with a real thread.

### What does the algorithm do with paid comments?

- **Detection targets exactly this kind of comment.** According to LinkedIn ([Laura Lorenzetti, LinkedIn](https://www.linkedin.com/pulse/keeping-conversations-real-linkedin-laura-lorenzetti-9821e/)), its classifiers pick out replies that just repeat the post and comments posted in bulk with little human input, and anything flagged travels less outside the commenter’s own network.
- **Few readers will see them.** “Most relevant” is the view most people read, and LinkedIn leaves detected automated comments out of it ([LinkedIn News, 2026](https://news.linkedin.com/2026/authentic-content-and-conversations)).
- **The volume is already filtered.** LinkedIn’s product chief says the platform blocks hundreds of thousands of automated comment attempts a day ([Fortune](https://fortune.com/2026/07/31/linkedin-seems-like-ai-slop-button-billions-automated-comments-attempts/)).
- **Readers can report them as well.** LinkedIn’s “Seems like AI slop” button gives people a direct way to mark such comments ([Fortune](https://fortune.com/2026/07/31/linkedin-seems-like-ai-slop-button-billions-automated-comments-attempts/)).
- **The commenter’s history counts.** The comment ranking model uses the commenter’s history as one of its features ([LinkedIn Engineering](https://www.linkedin.com/blog/engineering/feed/serving-top-comments-in-professional-social-networks)), and an account with no activity in your field isn’t what rises to the top.

### Where money does help

- Pay LinkedIn for reach. Members can use LinkedIn’s Boost option on a post that already has a real conversation, and real people in the roles you pick see it and decide whether to join in ([LinkedIn Help](https://www.linkedin.com/help/lms/answer/a6584635)). Companies can sponsor employees’ posts as Thought Leader Ads ([LinkedIn](https://business.linkedin.com/advertise/ads/sponsored-content/thought-leader-ads)).
- Pay an editor to sharpen the closing question of your posts, which improves every post after it.
- Spend on events and dinners where your future commenters are. That is how the circle from way 2 grows.

### If you have already paid for comments

- Keep them away from posts that matter, such as a launch or a hiring post. Prospects read comments, and time spent reading them rose 18% in a year ([LinkedIn](https://news.linkedin.com/2026/q4-earnings-and-business-highlights)).
- Supplying your own texts to a seller makes the comments read better, but they still come from accounts unrelated to your topic.
- Don’t mix paid comments into a real thread. Real commenters notice and stop.

### Common mistakes with paid comments

- Taking the number for the conversation. Nobody replies to “Great post”.
- Expecting paid comments to start a real thread. Threads start with something worth answering.
- Judging your content by a comment count you inflated yourself.

## Way 4: How do you run a LinkedIn comment pod well?

A comment pod is a group whose members comment on each other’s posts in the first hour. The usual advice says pods are dead: LinkedIn catches them, threads fill with “Great post”, and comments from outside your field steer the feed toward the wrong readers ([ContentIn](https://contentin.io/glossary/engagement-pod/)). All of that describes a badly run pod. With members who know your subject and write what they actually think, a pod gives you a real thread on most posts.

### Step by step: running a comment pod

1. **Invite people who can say something about your topic.** Practitioners in your field, and not people collecting numbers. A comment is worth having only if the commenter has an opinion.
2. **Choose the members for each post.** Pick five to fifteen people closest to that post’s subject, and rotate so no thread has the same set of faces.
3. **Post first, then send the link with a single line of context,** such as “this one is about how agencies set their rates”. Don’t send anyone text to paste.
4. **Aim for as many real comments as you can in the first hour.** A question, a disagreement, an example from their own work, at different lengths and from different angles.
5. **Answer every comment and ask something back.** Your replies double the thread and turn single comments into conversations.
6. **Let members reply to each other.** Replies under other people’s comments are what make a thread look like a discussion, and be one.
7. **Give back at the same level.** A pod where you leave one-liners on other people’s posts falls apart within a month.

### Where can you find a good comment pod?

With comments, who is in the pod matters more than how many people are in it. One practitioner with an opinion is worth more than ten members typing two words.

| Where to look | What to expect |
| --- | --- |
| Friends and colleagues in your field | The best comments you will get; they run out quickly, so rotate who you ask |
| Pod groups: [LinkedIn Engagement Pod & Group](https://t.me/linkedin_engagement_pod) (Telegram), [LinkedIn For Breakfast](https://www.skool.com/linkedin-for-breakfast) (Skool), [r/linkedintips](https://www.reddit.com/r/linkedintips/) (Reddit); more in our [list of LinkedIn pods](https://linkedinlikes.com/linkedin-engagement-pods) | Plenty of commenters; quality depends on each group’s rules, so read them first |
| [LinkedInLikes](https://linkedinlikes.com/linkedin/comment) | Members comment by hand, in their own words, and owners can’t dictate the text; no chat to keep up with |
| [Podawaa](https://podawaa.com) | Likes and comments in the first hour; check that every comment reads like a person wrote it |
| [Linkboost](https://linkboost.co) | Rewrite its AI drafts, or they read like the generic comments LinkedIn flags |
| [Lempod](https://lempod.com) | Comments posted automatically are hidden from “Most relevant” when LinkedIn detects them |

### How does the algorithm treat a comment pod?

- **LinkedIn’s stated position.** LinkedIn wants pods to be “entirely ineffective” and limits the reach of activity it flags as artificial ([Social Media Today, Nov 2025](https://www.socialmediatoday.com/news/linkedin-vows-to-take-action-against-engagement-pods-fake-engagement/804970/)).
- **What LinkedIn says it catches.** If a comment goes out through an auto-script or a browser plugin and no person reviews it, LinkedIn drops it from “Most relevant” and may limit it to the commenter’s connections ([Social Media Today, Feb 2026](https://www.socialmediatoday.com/news/linkedin-outlines-more-measures-to-combat-engagement-pods/812290/)). Its classifiers also look for comments posted in bulk and for replies that just repeat the post ([Laura Lorenzetti, LinkedIn](https://www.linkedin.com/pulse/keeping-conversations-real-linkedin-laura-lorenzetti-9821e/)). By LinkedIn’s own admission, pods are hard to fight because members organize them on other platforms ([Social Media Today, Feb 2026](https://www.socialmediatoday.com/news/linkedin-outlines-more-measures-to-combat-engagement-pods/812290/)).
- **Our reading.** Someone from your field who read the post and wrote a real comment in the first hour is exactly what the comment ranking is built to put on top ([LinkedIn Engineering](https://www.linkedin.com/blog/engineering/feed/serving-top-comments-in-professional-social-networks)). Nothing in that is automated or generic.
- **The first good comments shape the thread.** Comments are ordered by how likely each viewer is to interact with them ([LinkedIn Engineering](https://www.linkedin.com/blog/engineering/feed/serving-top-comments-in-professional-social-networks)), so a pod that opens with real points decides what every later reader sees first.
- **Each comment travels.** A comment can appear in the commenter’s network ([Fortune](https://fortune.com/2023/02/23/commenting-for-reach-responses-linkedin-posts-pushback-jobs-layoffs-even-emoji-better/)), so twelve commenters from your field means twelve audiences of the right people.

### Habits for a comment pod

- Members who work on your subject and have opinions about it.
- One angle per member: a question, a counterpoint or a case.
- Comments spread across the first hour, instead of ten in the first two minutes.
- You answer every comment while that hour is running.

### What to avoid in a comment pod

- Extensions and tools that comment for you. Automated comments are what LinkedIn hides, and it can restrict accounts for them ([Social Media Today, Feb 2026](https://www.socialmediatoday.com/news/linkedin-outlines-more-measures-to-combat-engagement-pods/812290/)).
- Shared comment templates, or AI comments pasted without editing.
- Pods with rules like “comment on all 50 posts every day”, where quality is the first thing to go.
- The same five commenters on every post.

### Common comment pod mistakes

- Writing off pods after one bad group full of “Great post”.
- Counting the comments without reading them.
- Leaving the pod’s comments unanswered.
- Using the pod to prop up posts nobody has a reason to answer.

## What should you check in the first hour after posting?

Run through this list next time you publish. It combines way 1 and way 2, which is where almost every good thread comes from.

- The post ends with one specific question.
- The post takes a position someone could disagree with.
- Five to ten people who know the topic have seen the draft.
- Nobody received a ready-made comment text.
- You are free to reply for the next hour.
- Every reply adds something or asks something back.
- You left a few real comments under other people’s posts today.
- Your comment pod knows the post is live, and each member knows which angle to take.
- After 48 hours you checked comments per impression.

## Need the first comments on a post?

If your circle is small or works outside your topic, LinkedInLikes can help the thread start. Paste your post link, set how many comments you want and how many points each one is worth, and members write their comments by hand from their own accounts. New accounts get 100 starter points, and you get more by commenting on other members’ posts. [Ask members to comment on your LinkedIn post](https://linkedinlikes.com/linkedin/comment), or read [how to get more comments on LinkedIn](https://linkedinlikes.com/blog/how-to-get-more-comments-on-linkedin).

## Where do the figures on this page come from?

The notes above come from three kinds of sources, labelled so you can weigh them.

### Measured by practitioners in post datasets

- Questions and formats, 673,658 posts: [Metricool](https://metricool.com/linkedin-trends/)
- Post length and comments, 167,940 posts: [Shield](https://theshieldindex.beehiiv.com/p/does-linkedin-post-length-actually-matter)
- Replying to comments, 72,000+ posts: [Buffer](https://buffer.com/resources/linkedin-engagement-data/)
- Poll reach and response: [AuthoredUp](https://authoredup.com/blog/linkedin-polls)
- How much a comment weighs: [van der Blom 2024 via Social Media Today](https://www.socialmediatoday.com/news/linkedin-tips-algorithm-performance/707201/), [AuthoredUp](https://authoredup.com/blog/linkedin-algorithm)
- Comments you leave and your next post: [van der Blom 2025 relay](https://thelinkedinsecrets.com/p/ls-47-linkedin-algorithm-insights)

### Observed by practitioners and reporters

- Personalised comment order and the share of AI comments: [Social Media Today](https://www.socialmediatoday.com/news/linkedin-updates-feed-display-to-drive-more-post-replies-and-comments/827394/)
- The first hour and the first 90 minutes: [Social Media Today](https://www.socialmediatoday.com/news/linkedin-tips-algorithm-performance/707201/), [Mercer MacKay](https://mercermackay.com/thinking/blog/a-leaders-guide-to-the-linkedin-algorithm-what-the-data-says/)
- Commenting and profile views: [Lindsey Gamble](https://www.lindseygamble.com/blog/linkedin-shares-commenting-can-triple-profile-views)

### Published by LinkedIn and its engineers

- Comment ranking model: [LinkedIn Engineering](https://www.linkedin.com/blog/engineering/feed/serving-top-comments-in-professional-social-networks)
- Feed signals: [LinkedIn Help](https://www.linkedin.com/help/linkedin/answer/a1339724), [LinkedIn News, 2019](https://news.linkedin.com/2019/January/what-s-in-your-linkedin-feed--people-you-know--talking-about-thi)
- Early feedback and speed: [2017](https://www.linkedin.com/blog/engineering/feed/strategies-for-keeping-the-linkedin-feed-relevant), [2018](https://www.linkedin.com/blog/engineering/member-customer-experience/linkedin-feed-with-creator-side-optimization), [2023](https://www.linkedin.com/blog/engineering/trust-and-safety/viral-spam-content-detection-at-linkedin)
- Comments in network feeds: [Fortune, 2023](https://fortune.com/2023/02/23/commenting-for-reach-responses-linkedin-posts-pushback-jobs-layoffs-even-emoji-better/)
- Automated and generic comments: [LinkedIn News](https://news.linkedin.com/2026/authentic-content-and-conversations), [Laura Lorenzetti](https://www.linkedin.com/pulse/keeping-conversations-real-linkedin-laura-lorenzetti-9821e/), [Social Media Today](https://www.socialmediatoday.com/news/linkedin-outlines-more-measures-to-combat-engagement-pods/812290/), [Fortune, 2026](https://fortune.com/2026/07/31/linkedin-seems-like-ai-slop-button-billions-automated-comments-attempts/)
- Feed update and bait prompts: [LinkedIn News](https://news.linkedin.com/2026/ImprovingTheFeed), [LinkedIn](https://www.linkedin.com/blog/content-recommendations-avoid)
- Time spent reading comments: [LinkedIn Q4 FY26](https://news.linkedin.com/2026/q4-earnings-and-business-highlights)

### On pods

- LinkedIn’s stated position: [Social Media Today, Nov 2025](https://www.socialmediatoday.com/news/linkedin-vows-to-take-action-against-engagement-pods-fake-engagement/804970/), [LinkedIn News, Mar 2026](https://news.linkedin.com/2026/authentic-content-and-conversations)
- What LinkedIn describes detecting: [Social Media Today, Feb 2026](https://www.socialmediatoday.com/news/linkedin-outlines-more-measures-to-combat-engagement-pods/812290/)
- The usual “pods are dead” argument: [ContentIn](https://contentin.io/glossary/engagement-pod/)
- Pod groups and services: [Telegram pod](https://t.me/linkedin_engagement_pod), [Skool community](https://www.skool.com/linkedin-for-breakfast), [Reddit](https://www.reddit.com/r/linkedintips/), [Podawaa](https://podawaa.com), [Linkboost](https://linkboost.co), [Lempod](https://lempod.com)

LinkedIn doesn’t publish ranking weights or time windows. Where practitioners disagree, both figures are shown.

## More on LinkedIn comments and growth

- [LinkedIn comment exchange](https://linkedinlikes.com/linkedin-comment-exchange)
- [LinkedIn comments course](https://linkedinlikes.com/linkedin-comments-course)
- [LinkedIn comment generator](https://linkedinlikes.com/linkedin-comment-generator) for a first draft you rewrite in your own words
- [LinkedIn growth course](https://linkedinlikes.com/linkedin-growth-course)
- [How like for like on LinkedIn works](https://linkedinlikes.com/how-to-do-like-for-like-on-linkedin)

## Frequently asked questions

### Do LinkedIn comment pods work?

A pod of real people from your field who read the post and comment in their own words can start a thread. Pods that post generic or automated comments get filtered: LinkedIn keeps detected automated comments out of “Most relevant” and reduces the reach of coordinated activity it detects.

### What do comments do for a LinkedIn post?

Comments are the strongest everyday signal, they can show the post to each commenter’s network, and a live thread keeps the post fresh. They also give readers something to read: time spent reading comments rose 18% in a year.

### 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 question about an experience your readers share. In Metricool’s data, posts with a direct question got 77% more comments than posts without one, and a lone “Thoughts” at the end rarely works 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 little response.

### 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 interaction, and a thread the author takes part in keeps growing.

### How do I get free LinkedIn comments?

End posts with one specific question, ask five to ten people from your field to comment in the first hour, and reply to each comment. On [LinkedInLikes](https://linkedinlikes.com/linkedin/comment) you can also spend your 100 starter points on comments that members write by hand in their own words.

### Can I tell LinkedInLikes members what to write in a comment?

No. Members write comments in their own words, and the post owner can’t dictate the text or the tone. That keeps comments from reading like the generic, scripted lines LinkedIn’s classifiers flag.