How LinkedIn Algorithm Updates Affect Post Visibility

"Make yourself findable"...this is advice that I give to candidates, SES's, generals, executives, and even teenagers. Companies are dying to find you, but they just don't know that you exist. They hire Precision Talent Solutions to find you. Like it or not, LinkedIn is the place where professionals go to look for jobs, look for candidates, and to share/consume content. If you are in career transition, it is more important than ever to be thoughtfully active on LInkedIn. Valuable tips: LinkedIn Algorithm Updates (2025) - Relevance Over Virality: The algorithm now favors niche, expert content over viral posts. Generic or off-topic posts hurt visibility. - Connections First: Posts from your own network are prioritized. A targeted, engaged network boosts reach. - Expertise Signals: LinkedIn evaluates who is posting (based on profile) as much as what is posted. - Ranking Factors: Content is ranked by Relevance, Expertise, and Engagement (especially meaningful comments). - Comments Matter Most: Posts with thoughtful, back-and-forth conversation (especially in the first hour) get a major visibility boost. - Spam Filters: Poor grammar, link-stuffing, excessive hashtags, and overposting are penalized. - Engagement Quality > Quantity: Comments from relevant peers beat lots of random likes. - Extended Reach: High-value posts can reach beyond your 1st-degree network if they gain strong engagement. 2. Content Format Trends - Carousels Still Strong: Multi-image or PDF “carousel” posts perform well, but only if value-packed. - Video & Live Streams: Native videos (not links) and especially LinkedIn Live posts drive the highest engagement. - Image Posts: Still effective—posts with a single strong visual get more attention and comments. - Newsletters: Now a top tool for reach—subscribers are notified every time you publish. Best for long-form, high-value content. - Polls & Interactive Posts: Still underused but powerful for engagement and visibility. - Hashtags/Tagging: Use 2–5 relevant hashtags. Over-tagging or irrelevant tags = spammy. - External Links: Posts with links are penalized. Better to add links later via post edit or use native formats. 3. Engagement Best Practices - Provide Niche Value: Focus on helpful, profession-specific insights, not generic content. - Hook Early: Start posts with a bold statement or question to capture attention. Encourage Dialogue: Ask questions, respond to comments, and spark discussion to improve reach. - Use Rich Media: Mix in carousels, videos, and images to keep your content fresh and engaging. - Go Live or Use Newsletters: These formats offer built-in boost via notifications and dwell time. - Avoid Spam Tactics: Don’t tag excessively, overuse hashtags, or post too frequently. - Grow an Engaged Network: Engage with others to strengthen your own visibility in the algorithm. - Be Consistent & Authentic: Regular, high-quality posting builds credibility and audience trust over time.

One of the most common topics I am asked about is the LinkedIn algorithm. LinkedIn doesn’t openly share how the algorithm works in its entirety but when you’re working across multiple client accounts, having regular conversations with peers, and staying close to platform trends, you start to spot what’s working (and what’s not). Here’s what I’m seeing right now if visibility and reach are part of your strategy. ➡️Prioritising Relevance Over Virality LinkedIn has an emphasise on relevant, professional content rather than chasing mass virality. In fact, LinkedIn’s editor-in-chief Dan Roth has stated the platform “is not designed for virality,” but instead for sharing useful knowledge and insights”. ➡️Your Network Connections Drive Visibility LinkedIn favors content from your own network meaning your connections and followers are far more likely to see your posts. The takeaway: the makeup and engagement of your network now directly impact your reach. ➡️Expertise Signals Expand Your Reach The feed algorithm doesn’t just assess what you posted it also looks at who is posting and whether you’re have domain expertise. If you consistently share content in your niche and have the professional background to back it up, the algorithm will distribute your posts more broadly. Conversely, if you post on a subject completely outside your known field, expect limited reach. ➡️ Commenting Beyond The Surface We know that the algorithm gives more weight to thoughtful, substantive comments than to quick reactions. But did you know that LinkedIn is evaluating who is commenting? If your post on marketing draws many comments from marketing professionals (i.e. people relevant to the topic), that’s a strong positive signal - if it's the same people without professional relevance it has the opposite effect. ➡️Quality of Engagement Over Quantity It’s not about getting lots of engagement; it’s about the right engagement. LinkedIn explicitly encourages creators to focus on reaching a targeted, relevant audience. The algorithm measures engagement quality being who is engaging. For example, a dozen comments from respected peers in your industry will boost your post more than a hundred random likes from outside your field. ➡️Low-Quality Content Gets Demoted LinkedIn’s algorithm actively filters out content deemed low-quality or spam, so certain tactics will hurt your reach. Similarly, tagging a bunch of people who aren’t relevant to the post or overstuffing your post with hashtags are red flags. Posts with poor formatting or error-ridden text can also be classified as “low quality.” 🔍 Key Takeaways The algorithm is always evolving but the core principle and advice remains the same: create content that’s useful, relevant, and credible to your audience. 💬 Curious to see how your content stacks up against these points? Or have you noticed shifts in your own reach lately? Let me know in the comments. #LinkedIn #Marketing #Content

LinkedIn 𝐢𝐬 𝐪𝐮𝐢𝐞𝐭𝐥𝐲 𝐫𝐞𝐝𝐞𝐬𝐢𝐠𝐧𝐢𝐧𝐠 𝐰𝐡𝐚𝐭 𝐯𝐢𝐬𝐢𝐛𝐢𝐥𝐢𝐭𝐲 𝐦𝐞𝐚𝐧𝐬 𝐨𝐧 𝐭𝐡𝐞 𝐩𝐥𝐚𝐭𝐟𝐨𝐫𝐦. For years, many creators believed reach was mainly driven by engagement signals. More comments, more reactions, more activity. In a recent update, LinkedIn feed leader Tim Jurka explained that the platform is evolving with ranking systems powered by generative recommenders and large language models. At first glance, this sounds like a technical update. The deeper shift is about what kind of content professionals actually see. These models analyze signals such as a member’s skills, experience, interests, and long-term engagement patterns to understand what professionals genuinely want to learn from. This means the Feed is gradually moving beyond popularity signals alone and moving closer to relevance, expertise, and authentic professional insight. LinkedIn has also made it clear that several behaviors that once artificially boosted reach are being reduced. Automated comments, engagement pods, recycled thought-leadership posts, and engagement bait such as “Comment YES if you agree” are becoming far less effective signals. Instead, the platform is prioritizing posts that reflect real experience, useful insight, and meaningful professional perspective. I have started noticing this shift in my own journey as well. When I began focusing my content more clearly around my niche, LinkedIn strategy and professional authority building, the nature of the conversations began to change. The discussions became more thoughtful, 𝐩𝐞𝐨𝐩𝐥𝐞 𝐬𝐭𝐚𝐫𝐭𝐞𝐝 𝐚𝐬𝐤𝐢𝐧𝐠 𝐝𝐞𝐞𝐩𝐞𝐫 𝐪𝐮𝐞𝐬𝐭𝐢𝐨𝐧𝐬, 𝐚𝐧𝐝 𝐦𝐚𝐧𝐲 𝐨𝐟 𝐭𝐡𝐞 𝐜𝐥𝐢𝐞𝐧𝐭𝐬 𝐰𝐡𝐨 𝐫𝐞𝐚𝐜𝐡 𝐨𝐮𝐭 𝐧𝐨𝐰 𝐦𝐞𝐧𝐭𝐢𝐨𝐧 𝐭𝐡𝐚𝐭 𝐭𝐡𝐞𝐲 𝐝𝐢𝐬𝐜𝐨𝐯𝐞𝐫𝐞𝐝 𝐦𝐲 𝐰𝐨𝐫𝐤 𝐭𝐡𝐫𝐨𝐮𝐠𝐡 𝐩𝐨𝐬𝐭𝐬 where I shared practical insights from real experience. That reinforced something important for me. Trust on LinkedIn rarely grows from viral tactics. It grows when professionals consistently 𝐬𝐡𝐚𝐫𝐞 𝐩𝐞𝐫𝐬𝐩𝐞𝐜𝐭𝐢𝐯𝐞𝐬 𝐭𝐡𝐚𝐭 𝐡𝐞𝐥𝐩 𝐨𝐭𝐡𝐞𝐫𝐬 𝐮𝐧𝐝𝐞𝐫𝐬𝐭𝐚𝐧𝐝 𝐬𝐨𝐦𝐞𝐭𝐡𝐢𝐧𝐠 𝐦𝐨𝐫𝐞 𝐜𝐥𝐞𝐚𝐫𝐥𝐲. Which aligns closely with the direction LinkedIn appears to be moving. Professionals come here to learn from other professionals, not from automated conversations. And the Feed is increasingly being designed to reinforce that. My biggest takeaway from this update is simple. 𝐕𝐢𝐬𝐢𝐛𝐢𝐥𝐢𝐭𝐲 𝐨𝐧 𝐋𝐢𝐧𝐤𝐞𝐝𝐈𝐧 𝐢𝐬 𝐠𝐫𝐚𝐝𝐮𝐚𝐥𝐥𝐲 𝐬𝐡𝐢𝐟𝐭𝐢𝐧𝐠 𝐟𝐫𝐨𝐦 𝐚𝐜𝐭𝐢𝐯𝐢𝐭𝐲 𝐬𝐢𝐠𝐧𝐚𝐥𝐬 𝐭𝐨 𝐥𝐞𝐚𝐫𝐧𝐢𝐧𝐠 𝐬𝐢𝐠𝐧𝐚𝐥𝐬. As LinkedIn continues evolving its Feed around authentic professional conversations, the real question becomes: Are we creating content to trigger engagement, or sharing insights that professionals genuinely want to learn from? Source: LinkedIn Feed Update – Tim Jurka LinkedIn News India LinkedIn News #LinkedIn #ThoughtLeadership #FutureOfWork #PersonalBranding

"Why am I suddenly seeing posts from a few weeks ago?" "Why is there a reduction in impressions on my new posts?" "Is the machine out to get me?" Don't worry, you're not going crazy! A number of updates were rolled out last month to the LinkedIn algorithm (one has since been reversed), which means the way your feed works has changed. What you might notice: 👉 You're seeing Relevance over Recency. The algorithm is better at identifying high-quality, relevant content and keeping it in the feed longer. 👉 It's Prioritizing Expertise. The algorithm now rewards content from experts in their field. Posts that offer deep, authentic insights get a boost. 👉 Authenticity is key. The algorithm can detect and penalize generic, AI-generated content that lacks a unique, human voice. 👉 Meaningful Engagement matters more than ever. The algorithm now values thoughtful comments and replies that spark a genuine, back-and-forth discussion over simple likes and reactions. 👉 Native Content is King. The algorithm favors content created directly on LinkedIn (text posts, native video, etc.) over posts that simply link out to an external site. 𝐒𝐨, 𝐰𝐡𝐚𝐭 𝐝𝐨𝐞𝐬 𝐭𝐡𝐢𝐬 𝐦𝐞𝐚𝐧? If you're posting: ✅ Focus more on value vs virality as this is what the algorithm is rewarding. Create content that is genuinely helpful, sparks conversation, and is unique to your professional experience. ✅ If you're sharing an article, summarize the key takeaways in a text post and put the link in the comments to give it a better chance of being seen. ✅ Be cautious with AI. The algorithm is now better at detecting and penalizing generic or AI-generated posts. If you're scrolling: ✅ Engage authentically. Your interactions tell the algorithm what you want to see more of, personalizing your feed to your professional interests. ✅ By engaging with thoughtful comments and contributing to the discussion, you signal that the content is valuable. I hope you find this useful. Let me know what you think in the comments! #linkedin #ai #jobsearch

If LinkedIn feels harder than it used to and your reach dropped, it's not YOU. It's the new LinkedIn algorithm. Here's what changed 👇 Over the last year, LinkedIn quietly rebuilt how the platform decides what gets seen. Welcome 360Brew, LinkedIn's new algorithm. I recently got my hands on a research paper published by LinkedIn explaining what they’re actually trying to do. Fair warning: most of it is very techy and gave me a headache.  But I pulled out the parts that matter. So here it is, straight from the horse’s mouth:  the key takeaways, and what this means for you. What actually changed...  Before this update, LinkedIn relied on a bunch of separate models each optimized for a specific thing:  – one to rank posts  – another for jobs  – another for people suggestions  – another for ads   Each one did its job well, but they didn’t talk to each other effectively. They didn't understand the full meaning and context of the content. And so, LinkedIn mostly focused on behavioral signals to decide what to show people: likes, comments, clicks, and how fast those things happened. With the 360Brew, LinkedIn now uses one shared model that: – reads posts as language  – reads profiles as context  – looks at behavior over time  – and decides relevance person by person In other words, the system is no longer siloed.  It sees the entire picture, and can match content to people more intentionally. Here’s what this actually means for you 👇 (and where most people are getting it wrong) 1️⃣ Not all engagement matters the same anymore Quick likes and one-word comments don’t carry the weight they used to. What matters more now:  – saves  – reading time  – thoughtful comments  – reposts Depth beats speed. 2️⃣ Your profile now shapes your distribution LinkedIn actively reads your headline, About section, experience, and skills. It uses that to decide:  – what topics you’re credible to speak on  – who your content should be shown to Your profile isn’t background noise anymore.  It’s context. 3️⃣ Your content has to match your profile If your posts don’t clearly align with what your profile says you do, distribution suffers. Mixed signals create confusion. Clear alignment creates momentum. 4️⃣ Topic clarity matters more than ever Broad, scattered content doesn’t perform the way it used to. The system now rewards:  – clear topic focus  – consistent language  – 2–4 defined themes  – repetition over time It takes ~90 days for the platform to fully understand your content patterns. Clarity compounds. Be patient. That’s the "game" now. (Save this if you’re serious about growing here.)

Your LinkedIn feed isn’t broken. It’s just stuck in June by design. LinkedIn finally admitted: it’s not a real-time platform anymore. The algorithm doesn’t prioritize recency. It’s moved away from showing the newest updates first and shifted toward something else entirely Relevance over time! That single shift explains why your timeline in July might look like a rerun reel from 2 or 3 weeks ago. Here’s what’s actually happening under the hood: 👉 Posts now stay “alive” for far longer (because they’re still useful) 👉 The algorithm watches dwell time (how long someone spends reading your post), the quality of comments (are people actually saying something or just reacting?), and engagement loops (do new likes and comments pull the post back into circulation?). 👉 When those signals are strong, the post gets another push (again, and again, and again). In other words: LinkedIn has started giving posts a longer half-life where good content keeps resurfacing, reaching new people days (or even weeks) after it was first published. It’s intentional. LinkedIn wants to become a “professional knowledge engine”, not just a place for job changes and sales pitches. LinkedIn is deliberately dialing up value as the core metric, not freshness. But then something else kicked in (seasonal)! Every summer, there’s a noticeable drop in new posts. People go on vacation. The 1% of users who actually post content regularly (yes, it’s really that low) mostly disappear in July and August. Add a bit of burnout, a few weeks of chaotic news cycles, and what you’re left with is a very quiet content feed. But the feed still needs to feed! So LinkedIn do reaches back. It resurfaces posts you missed. Posts you saw but didn’t engage with. Posts that are still attracting meaningful discussion or reactions. Posts that, by the algorithm’s logic, are better than the silence. That’s why it feels like time froze! You keep seeing the same posts over and over again because not enough new content is being created to replace what’s already working. The same thing happens every winter! Right around Christmas and New Year’s the volume of new posts drops. The algorithm recycles. January starts slow. So if you're wondering why your post from June is suddenly picking up traction in July, or why your feed is showing things from mid-June while it's already 10 days into July - that’s why. It’s not a glitch. It’s the new normal. So what do you do with this? 1. Stop chasing recency. Stop optimizing for the first 30 minutes of performance. Instead: 2. Write something people want to spend time with 3. Spark real conversation (not empty comments) 4. Build content with long-term relevance, not just quick dopamine Because LinkedIn’s feed doesn’t just favor who shows up first. It favors who stays relevant the longest. And when the feed slows down, the platform will surface whatever's still standing. So ask yourself: Will your next post be worth reading… 3 weeks from now?

LinkedIn now rewards depth and authority over virality. The era of engagement bait is over. If your reach dropped in the last few months, this is why. And if you're a genuine expert, this is great news. Here's what actually changed: LinkedIn now uses Knowledge Graph Validation. It cross-references your post content against your profile, experience, and expertise. Post about a topic you have demonstrated authority in? More reach. Post about something random for engagement? Less reach. The algorithm now scores three things: Golden Hour performance — What happens in the first 60-90 minutes after you post determines everything. Quality of comments matters more than quantity of likes. One thoughtful 50-word comment is worth more than 20 "great post!" reactions. Depth Score — Dwell time, saves, and meaningful engagement. The algorithm can tell if people actually read your post or just liked and scrolled. Expertise match — Are you posting within your area of demonstrated knowledge? If your profile says "AI" and you post about AI, you get a boost. If your profile says "AI" and you post about crypto, you don't. What this means practically: → Views are down 50% platform-wide. But quality engagement is up 15x. → Personal profiles get 561% more reach than company pages. → Document posts have the highest engagement rate at 6.6%. → External links in posts get a 60% reach penalty. Always put links in the first comment. → Comments are now 15x more valuable than likes. The biggest shift: LinkedIn is becoming a platform that rewards people who teach, build, and share real expertise. If that's you, this algorithm change is the best thing that could happen. What changes have you noticed in your LinkedIn reach lately? #LinkedIn #ContentStrategy #PersonalBranding #ThoughtLeadership #AI

🚨 𝗔𝗹𝗲𝗿𝘁: 𝗟𝗶𝗻𝗸𝗲𝗱𝗜𝗻 𝗔𝗹𝗴𝗼𝗿𝗶𝘁𝗵𝗺 𝗨𝗽𝗱𝗮𝘁𝗲: 𝗪𝗵𝗮𝘁 𝗬𝗼𝘂 𝗡𝗲𝗲𝗱 𝘁𝗼 𝗞𝗻𝗼𝘄 Noticed fewer immediate views on your posts lately? You're not alone, I do it too. LinkedIn has updated its algorithm, and here's what's changed: 𝗧𝗵𝗲 𝗡𝗲𝘄 𝗥𝗲𝗮𝗹𝗶𝘁𝘆 LinkedIn now prioritizes meaningful, professionally relevant content and sustained engagement over instant virality. While your posts may take longer to gain initial traction, they have significantly more staying power. 𝗞𝗲𝘆 𝗖𝗵𝗮𝗻𝗴𝗲𝘀 𝗬𝗼𝘂'𝗹𝗹 𝗡𝗼𝘁𝗶𝗰𝗲: 𝗘𝘅𝘁𝗲𝗻𝗱𝗲𝗱 𝘃𝗶𝘀𝗶𝗯𝗶𝗹𝗶𝘁𝘆 𝘄𝗶𝗻𝗱𝗼𝘄: Content remains active in feeds for weeks instead of disappearing quickly. 𝗗𝗲𝗹𝗮𝘆𝗲𝗱 𝗲𝗻𝗴𝗮𝗴𝗲𝗺𝗲𝗻𝘁 𝗽𝗮𝘁𝘁𝗲𝗿𝗻𝘀: Posts build momentum gradually rather than spiking immediately after publication. 𝗠𝗶𝘅𝗲𝗱 𝘁𝗶𝗺𝗲𝗹𝗶𝗻𝗲 𝗳𝗲𝗲𝗱𝘀: You'll see posts from days or weeks ago appearing alongside fresh content. 𝗪𝗵𝗮𝘁'𝘀 𝗗𝗿𝗶𝘃𝗶𝗻𝗴 𝗧𝗵𝗲𝘀𝗲 𝗨𝗽𝗱𝗮𝘁𝗲𝘀: 𝗤𝘂𝗮𝗹𝗶𝘁𝘆 𝗼𝘃𝗲𝗿 𝗾𝘂𝗮𝗻𝘁𝗶𝘁𝘆: LinkedIn is actively discouraging engagement-bait content, instead rewarding posts that deliver genuine professional value. 𝗖𝗼𝗻𝗻𝗲𝗰𝘁𝗶𝗼𝗻-𝗳𝗶𝗿𝘀𝘁 𝗮𝗽𝗽𝗿𝗼𝗮𝗰𝗵: Content from your direct connections and frequent interactions gets priority placement in feeds. 𝗠𝗲𝗮𝗻𝗶𝗻𝗴𝗳𝘂𝗹 𝗱𝗶𝗮𝗹𝗼𝗴𝘂𝗲: The platform now rewards thoughtful comments and substantive discussions over surface-level reactions. 𝗬𝗼𝘂𝗿 𝗔𝗰𝘁𝗶𝗼𝗻 𝗣𝗹𝗮𝗻: ▪️ Focus on creating valuable content that serves your professional network. ▪️ Engage authentically with others' posts through meaningful comments and discussions. This investment in quality will improve your long-term reach and visibility. The algorithm shift may feel challenging initially, but it's designed to create a more valuable professional networking experience for everyone.

A LinkedIn feed has a new gatekeeper, and it is not human. It works like a quiet digital editor, constantly deciding which ideas deserve a stage and which ones disappear behind the curtain. That is where many professionals are falling behind. They are still posting as if it were 2022, assuming visibility comes from who they know. But LinkedIn no longer behaves like a contact directory. It behaves like a discovery engine. The real question is no longer who sits in someone’s network. It is what signal their content is teaching the algorithm to recognize. That is the shift: visibility is no longer random. It is earned through clarity, conversation, and consistency. Every post becomes a lesson for the system, showing it what a person stands for, how clearly they communicate it, and whether their ideas deserve to travel beyond familiar circles. This week’s newsletter explores how LinkedIn’s AI-powered feed now decides who gets recommended, and the subtle content shifts that help professionals get discovered by people who have never heard their name before.