The LinkedIn algorithm has changed, and that may explain why some posts that once performed well are now getting less reach. LinkedIn is changing how it understands and recommends content, with more focus on what a post is about and whether it is relevant to the people seeing it.
You may have also heard of 360Brew, the AI model that became widely discussed in relation to LinkedIn’s algorithm. LinkedIn tested 360Brew internally, but it was later discontinued. The company has since introduced a newer approach that uses large language models to better understand the meaning of posts and match them with members based on their interests, professional goals, and activity.
This means simply getting likes is not enough. The topic you post about, the value of the content, how people respond to it, and how closely it fits your professional expertise can all affect how far it travels.
In this guide, we’ll explain how the LinkedIn algorithm works in 2026, what changed from 2025, which signals matter most, and what you can do to get your content in front of the right audience.
What Is the LinkedIn Algorithm?
The LinkedIn algorithm is the ensemble of ranking and recommendation systems LinkedIn utilizes to determine which posts are shown to a member’s Feed and in which order.
According to LinkedIn, its Feed reaches over 1.3 billion professionals and is designed to deliver timely and relevant content tied to professional interests and goals of members. The more recent ranking system of LinkedIn makes use of LLMs and GPUs for determining the meaning of the post instead of using solely simple signals, such as followership.
Specifically, the system poses questions, including:
- Is this piece of content relevant to this member?
- Is the theme clear?
- Does this piece give some valuable information?
- What is people’s reaction to this content?
- Does this person consistently produce interesting content for their audience?
- Are people reading and reacting to this content?
This is why LinkedIn is not the platform that is purely focused on entertainment and going viral. Professional relevancy is still important here.
How the LinkedIn Algorithm Works: The 3-Stage Process
Understanding how the LinkedIn algorithm works becomes much easier when you consider the distribution process as opposed to some kind of magic formula.
1. Quality & Spam Filter
The first stage is establishing whether the post belongs in the Feed at all.
There is no published list of all the factors that trigger a reduction in distribution from LinkedIn. So you should be careful with claims like “this particular emoji,” “that number of characters,” “these hashtags will get your post penalized.”
However, it is likely that clearly poor-quality posts will be unlikely to go far.
This includes:
- Engagement traps, like “Comment YES if you agree!”
- Fake engagement methods and pods.
- Inappropriate tagging.
- Hashtag spamming.
- Frequent promotional posts.
- Low-value content.
- False leads in the hook that do not correspond to the post itself.
It all should be pretty simple: try to make the post valuable enough for a professional person to be interested in reading it without engaging in a forced action.
2. Profile and Content Relevance Check
This is where much confusion arose regarding 360Brew.
According to the popular theory, 360Brew was analyzing a creator’s headline, About section, experience, and post topic before determining who should see this content. Later on, LinkedIn stated that 360Brew was an internal test and was not being used as a ranking system for the Feed.
However, what is known for sure is that the new Feed system of LinkedIn leverages LLM technology and evaluates the content’s meaning and its connection to the member’s changing interests and goals.
Topical relevance still plays a role.
Consider a sales operations expert whose content is devoted to CRM systems, forecasting, and revenue operations. A thorough post dedicated to Salesforce may have more topical relevance to their existing audience than some news about celebrities.
In conclusion, it makes no sense to spend time chasing some legendary 360Brew score. Just develop a professional identity and publish posts on topics you really know.
3. Distribution Based on Signals
When the content becomes eligible for distribution, behavioral signals help establish how valuable it looks to your audience.
Examples of positive signals may include:
- Likes and other reactions
- Meaningful comments
- Reposts
- Shares
- Saves
- Actual reading behavior
- Continued engagement with the creator or subject
Negative signals may include actions that show that the member does not want to see similar content.
That is why LinkedIn engagement cannot be all about liking.
A post that has 200 people saving it or meaningfully engaging in a conversation about it will be more valuable than the post that has a lot of quick likes and no engagement whatsoever. But at the same time, no publicly available formula on LinkedIn could prove that “200 saves are always better than 1000 likes”.
The better choice would be to create content that people will find worth reading, memorable, and worthy of saving and discussing.
Takeaway: don’t concentrate on a single metric for making content popular. Instead, concentrate on the content’s value.
What Changed in the LinkedIn Algorithm in 2025–2026?
Has the LinkedIn algorithm been changed? Yes. LinkedIn itself acknowledged the changes that have occurred in its Feed ranking algorithm. In March 2026, it announced that a new algorithm based on LLMs and GPUs would be introduced to provide more accurate content understanding and member interests.
However, there are some popular claims that should be explained.
360Brew Was Tested, Then Shut Down
The most important correction is 360Brew.
Many articles and LinkedIn posts describe it as a currently working master algorithm that controls Feed distribution. LinkedIn’s VP of Engineering Tim Jurka explicitly mentioned that the company tried out an internal AI model called 360Brew in a small group and ultimately found it unfit and stopped the trial.
Therefore, in the 2026 guide, describing 360Brew as the live LinkedIn Feed algorithm will be misleading.
Semantics Understanding Becomes Priority
The future LinkedIn Feed needs to have semantic understanding of its content.
Instead of depending too much on network relations, the newer system is able to interpret the post theme and link it to members whose interests and career goals coincide.
That is the primary reason why topical clarity becomes so important.
Links Require Context
Currently, there is much talk about the negative influence of external links on the distribution of posts. Some industry reports say that there is a penalty of up to 60% for having external links.
However, LinkedIn did not announce any universal “60% penalty” rule for all external links.
A better option is to create a useful LinkedIn post first and then explain why a reader should go somewhere else.
AI Posts Are Not Automatically Suppressed
The other popular myth says that LinkedIn automatically suppresses every AI-generated post.
It is too broad a statement.
LinkedIn uses AI in its products; the feed ranking system evaluates the relevance of content and members’ behavior.
The true issue with generic AI posts is their interchangeability. Smooth introductory phrases, motivational slogans, repetitive structure, and generic advice give no reason for people to pause and read.
Using AI as an editing assistant and research tool is okay, but do not forget to add your personal opinion, examples, and evidence.
Hashtags Become Less Important
Even though hashtags can provide some context, there is no such thing as a magic growth button here.
Better to mention the topic in your post.
What Content Actually Performs Best Right Now?
Good LinkedIn algorithm content does not need to have the most aesthetically pleasing design. Good LinkedIn algorithm content is content that makes people stop and engage.
Document and Carousel Posts
Native documents can prompt people to swipe through several pages, thus giving them more opportunities to read valuable content.
Use them for:
- Tutorial
- Checklists
- Case study
- Framework
- Data analysis
- Industry insights
Make all your slides valuable. There is no value in a carousel that repeats the same sentence in ten different slides.
Native Video
LinkedIn native video can be a great choice if it offers quick learning or displays your knowledge about something.
Instead of making yet another “Three tips for success” video, try to teach something real from your experience or share a process that you went through, or describe the problem that people face.
Long-Form Text with an Actual Opinion
Text posts can still be valuable if they have valuable content to share.
Post about:
- Mistakes that you have made
- Lessons from your projects
- Something surprising about the industry
- Actual opinion based on experience
- Practical framework
- Result of your work and cause
This type of content has more chances to be engaged by readers because they can actually say something about the topic in their comments.
Comments Can Turn into Content
Do not underestimate your own comments.
An insightful comment on someone else’s post can be developed into a separate piece of content later on. It is also very suitable to use within a bigger LinkedIn marketing plan.
Common Mistakes That Kill Your Reach
Before you blame LinkedIn for your drop in LinkedIn reach, examine whether you have been posting appropriate content.
1. Publishing Unrelated Material
By talking about unrelated issues, you dilute your professional identity and confuse your audience. When every publication is intended for a different group of people, there is no need to subscribe to your profile. Concentrate on some related themes and show your competence in them.
2. Engaging Your Audience in a Forced Way
You may ask questions to promote an interesting discussion, but such posts often sound obvious, as if you are asking someone to do something for you. Do not create posts solely for engagement; try to ask your audience to give an opinion.
3. Overuse of Hashtags in Your Posts
The use of too many hashtags will crowd up your posts and make them commercialized. It would not make any sense to employ irrelevant hashtags. Always ensure that the hashtags that you employ are relevant to the subject matter at hand.
4. Posting Only AI-generated Content
There is nothing wrong with the help of AI in writing a post; however, completely generic text is far from unique and trustworthy. You may use AI to generate ideas or proofread your post, but add your experience and thoughts to the content.
5. Looking for Likes Only
Likes are good indicators of the post’s performance; however, your post is successful even without them if it causes people to comment, save, visit profiles, share, and discuss your post with potential clients and industry representatives.
6. Writing Commercial Posts Every Day
Your readers are interested in useful tips, not in selling all the time. You should first share some advice, experience, opinions, and insights before introducing your offers.
How to Optimize Your Content for the 2026 Algorithm
Here are seven actionable approaches to increase LinkedIn reach without wasting time on false rumors about the ranking formula.
1. Coordinate Your Profile with Content
Make sure that you have the same message being told in your headline, About, experience, and content.
If you are doing business-to-business marketing, make sure that it is clear to everyone that you are a marketing expert.
2. Write for Saves
Ask yourself before posting the content:
Will this post be interesting enough to read again a month later?
Provide frameworks, checklists, examples, templates, and explanations that will warrant revisiting.
3. Share Your Value on LinkedIn
In case of LinkedIn engagement promotion, avoid turning every post into a gateway to an external site.
Provide readers with the main idea of the content. However, if the resource is valuable, provide additional information about what they will get by clicking through.
4. Elicit Honest Comments
Conclude some of your posts with a precise question.
For instance, ask this question rather than asking this one:
“What do you think?”
“What channel has managed to give you the best quality leads as a B2B marketer this year?”
It is not only easy to answer but will definitely be followed by an interesting conversation.
5. Test Documents and Native Video
Do not focus only on one type of content.
Compare results of texts, documents, images, and videos. Your own analytics will show what types of formats work best with your audience.
6. Add Your Personal Opinion
LinkedIn algorithm comprehends the content better than the previous ones; however, the decision if it is worth their time remains with the reader.
Thus, do not just write corporate-like posts; state your opinion and back it up with an explanation.
7. Check Out Your LinkedIn Analytics Weekly
Track your impressions, reactions, comments, shares, saves, profile activity, and followers.
Identify the trends in the metrics rather than analyze each post separately.
2025 vs. 2026: What Should You Change
| Area | What Many Creators Did Before | Better Approach in 2026 |
|---|---|---|
| Hashtags | Added many hashtags | Use only relevant context |
| Links | Posted links with little explanation | Give value and context first |
| AI | Published polished generic drafts | Add personal experience and opinions |
| Content | Chased viral formats | Build topical authority |
| Engagement | Focused on likes | Look at meaningful interactions |
| Profile | Treated profile and posts separately | Keep expertise and content consistent |
| Format | Relied on text | Test documents, video, images, and text |
It is not a single secret ranking factor that marks the greatest change. The platform now strives for more meaningful comprehension of semantic relevance. LinkedIn claims that its new Feed feature is designed especially to comprehend the meaning of a post and relate it to users’ interests and career goals.
Conclusion
The LinkedIn algorithm is getting smarter when it comes to content, context, and relevancy. It doesn’t imply that creators need to reverse engineer some mystical formula.
A solution for everyone is much easier than that: just stick to clear topics, share expertise, create valuable content, spark conversations, and analyze your data.
If you aim to go further and establish yourself not only at the single-post level but also via a whole LinkedIn marketing campaign, use these techniques together with a comprehensive LinkedIn growth strategy.
Those creators who will stand out in 2026 are likely to be those who will keep giving their audience what’s worth reading.
Learn more tips on how to grow on LinkedIn by checking TalkSocially’s LinkedIn growth guide.
Frequently Asked Questions
How does the LinkedIn algorithm work?
The LinkedIn algorithm utilizes various recommendation and ranking algorithms to decide what is most relevant to each individual member. The 2026 LinkedIn Feed Update incorporates advanced LLM-powered technology to understand the posts, interests, professional goals, and history of each member.
Was there a recent change to the LinkedIn algorithm?
Yes, there was. In March 2026, LinkedIn introduced a new advanced feed ranking system. However, 360Brew cannot be referred to as the current feed algorithm since LinkedIn has already confirmed the shutdown of the 360Brew test.
What is 360Brew?
360Brew is an internal AI algorithm that LinkedIn used for testing with a small group of its members. According to LinkedIn’s VP of Engineering, LinkedIn found out that it was not the best fit and shut it down. It would thus not be reasonable to suggest that 360Brew is the current working Feed Ranking algorithm for 2026.
Are hashtags going to help me to go viral on LinkedIn?
It might give you some context regarding the topic you choose, but hashtags shouldn’t be the focus of your activities. Relevant topics, clear writing, useful content, and authentic interactions on LinkedIn should matter more than hashtag-filled posts.
Is it bad to post links on LinkedIn?
Links can affect post performance differently, and some industry reports suggest reduced distribution for link posts. However, LinkedIn has not officially disclosed a penalty percentage. The safest option would be making your post useful on its own and including an external resource if you find it necessary.
