The LinkedIn algorithm is the ranking system that decides which posts each member sees in their feed, and in what order. LinkedIn has said, in general terms, that it favors posts that are relevant to the reader, come from people and topics they care about, and start real conversations, while it holds back spam and engagement bait. Nobody outside LinkedIn knows the exact signals or weights.
That last sentence is the one most advice skips. So instead of another list of “hacks”, this page sorts the popular beliefs into what holds up, what is unproven and what is simply wrong, and then gives you a way to test the rest on your own account.
What LinkedIn has actually said
Over the years LinkedIn has described its feed goals through its official blog, help pages and engineering posts. The wording changes, but the direction has been steady:
- Show each person posts that are relevant to their work, interests and network. The same post can land well with one audience and fall flat with another.
- Build the feed mostly from people you are connected to, people you follow and pages you follow.
- Reward posts that lead to thoughtful comments and discussion, not only quick reactions.
- Pay attention to whether people actually stop and read, which is often called dwell time.
- Surface useful professional knowledge and advice from people with relevant experience.
- Limit or remove spam, misleading content and anything that breaks the Professional Community Policies.
None of that comes with numbers attached. No public weights, no thresholds, no minutes. If someone quotes you an exact formula, they are guessing or selling something.
Seven beliefs, checked one at a time
These are the claims that come up most often in LinkedIn advice. For each one: what can honestly be said, and what to do about it.
“The first hour decides everything”
The so-called golden hour. Early comments and reactions probably help a post find more readers, which fits LinkedIn’s stated focus on conversation. What nobody has shown is a fixed window that seals a post’s fate.
What to do: publish when you can stay around for a while to answer comments. That habit helps your readers whatever the ranking does. If your audience works in another time zone, the free Best Time to Post planner turns their working hours into yours, so you are not replying at midnight.
“Links in the post kill your reach”
This one is repeated so often that people treat it as settled. LinkedIn has not confirmed it as a rule. Some creators report weaker results with outside links, others see no difference.
What to do: test it. Post a few similar pieces with the link in the body and a few without, and compare. Your own audience is the only sample that matters for you.
“Editing right after you publish hurts the post”
There is no public evidence for a penalty. The practical issue is simpler: a post with a typo in the first line looks careless, and fixing it later does not undo that first impression.
What to do: read the post in a preview before it goes live, especially the opening lines on a phone screen. Then edits become rare and the question stops mattering.
“You have to post every day”
Frequency is a choice, not a ranking requirement. A daily post you write in ten tired minutes is rarely better than a weekly one you actually thought about.
What to do: pick a rhythm you can keep for three months. Judge results over weeks, not by the last post.
“Hashtags are how people find you”
Hashtags label a topic and connect your post to people who follow that tag. They do not rescue a post nobody wants to read, and LinkedIn has never said that more tags means more reach.
What to do: use a few precise tags or none, and compare. Our guide on how to use hashtags on LinkedIn covers how many and where they go.
“Comments need a minimum word count to count”
Specific numbers often get attached to this claim, but we know of no public source for any of them. LinkedIn talks about meaningful conversation. That is about substance, not length.
What to do: write comments that add a point, a question or a short experience. Length follows from what you have to say.
“Pods and automation are how big accounts grow”
This is the one belief worth rejecting outright. LinkedIn has said publicly that it does not want to reward tactics built to game the feed. Engagement pods, bots that like or comment for you, and posts that beg for “comment YES” fall squarely into that. They also break LinkedIn’s rules and can put your account at risk.
What to do: skip them. A smaller audience that reads you is worth more than inflated numbers from people who never will.
What the feed seems to discourage
Based on what LinkedIn has said publicly, these are the patterns most likely to work against you:
| Pattern | Why it backfires |
|---|---|
| Asking for likes, shares or a one-word comment to “help the post” | This is engagement bait, which LinkedIn has said it reduces |
| Tagging people who have nothing to do with the post | Readers see it as spam, and the people tagged often do too |
| Reposting the same text again and again | Low-effort repetition looks like spam |
| Claims, numbers or results that are not true | Misleading content can be limited or removed |
| Trading engagement in groups or with tools | Breaks the rules and adds no real readers |
A blunt test: would you still write this post if there were no ranking system at all? If the honest answer is no, the post probably needs rethinking more than the algorithm does.
The signals you can actually influence
You cannot see the ranking, but you control the inputs LinkedIn says it cares about.
Relevance starts with knowing who the post is for. One reader in mind, one problem, one point. Posts aimed at “everyone on LinkedIn” tend to interest no one in particular.
The opening decides whether anyone reads further. A specific first line beats a warm-up every time. If yours tend to start with “I wanted to share”, read how to write a LinkedIn hook.
Readability on a phone keeps people with the post. Short paragraphs, white space, no walls of text.
A real question at the end invites the kind of comment LinkedIn says it values. Ask something you actually want answered.
Your replies turn a comment into a conversation. Answer people. It is the cheapest thing on this list and the one most often skipped.
And your network shapes who sees you in the first place. Connecting with and following people in your field means your posts start in front of readers who care.
A four-week test you can run
General advice describes averages. Your audience is specific. A simple test beats any opinion, including ours.
- Pick one belief from the list above. Posting time and links in posts are good first choices because they are easy to vary.
- Write it down as a plain prediction, for example “posts with a link in the body get fewer comments than posts without”.
- Keep everything else as steady as you can: similar topics, similar length, similar effort.
- Run it for four weeks, alternating the two versions so one week of unusual news does not skew the result.
- After each post, note impressions, comments and who engaged. The Engagement Rate Calculator lets you compare posts that reached very different numbers of people.
- At the end, look for a pattern across all the posts, not a single winner.
Here is what one week of the log might look like. The numbers are made up purely to show the format:
| Date | Version | Impressions | Comments | Notes |
|---|---|---|---|---|
| Tue | Link in body | 1,200 | 6 | Topic: onboarding |
| Thu | No link, link in comment | 1,450 | 9 | Topic: onboarding |
Two rows prove nothing. Twelve rows start to show something. And if your result contradicts a popular belief, trust your data for your audience.
Where to go from here
Pick one belief to test this month, then plan your posting window in the free Best Time to Post planner. If you need topics to post while the test runs, our LinkedIn post ideas list has plenty, and the rest of our content guides cover writing, formatting and measuring posts.