Home/Linkedin Strategy

Understanding LinkedIn's Algorithm: Key Updates and Changes For July 2023

LinkedIn Strategy

You may have heard that LinkedIn recently made some changes to its algorithm and changed the way that people see content.

Here is all you need to know about the update:

What LinkedIn users want to see

The majority of LinkedIn users want to feel like they see more relevant and informative posts that help them develop professionally. They also want to see more content from people that they are actually interested in. This prompted the platform to show more content from people and companies that a user follows. This way, users can see more of their preferred content.

Another major update to note is that LinkedIn is prioritising posts that it sees as sharing “knowledge and advice”. This will be the best way to reach people who don’t follow you and expand your audience. So how does the platform identify posts that share knowledge and advice? The system will evaluate whether you are helping other users improve their productivity or giving them useful information. You must be seen to be “building a community around content”, said LinkedIn’s Editor in chief, Dan Roth.

How LinkedIn identifies posts that share knowledge and advice

You must be speaking to a specific audience

The main questions to ask yourself are ‘Who am I trying to reach?’ or ‘Who will this benefit?’ The LinkedIn platform asks a similar question when determining who to show your content to. Alice Xiong, the lead of LinkedIn’s Search and Discovery Products, advised creators to “think about what kind of knowledge you have to offer to help people”. This will show that you are focused on a specific area of expertise, which will help in the next stage.

Write about your core subject area

As well as the content you post, the platform is also analysing whether you really know what you’re talking about. This means that speaking about developments in marketing today and then sharing expert knowledge about biomedical science tomorrow will have a negative impact on your posts. LinkedIn will look at your content and skill history and determine whether the content you’re sharing is of high quality. It is important to maintain consistency and relevance to your industry.

Encourage meaningful comments

You can’t really control the type of comments people leave on your posts. LinkedIn used to push posts that got a lot of comments. This brought about “engagement groups” where people would come together to react and comment on each other’s posts to help boost engagement. A few “this is amazing” and “I love this” comments here and there went a long way- not so much any more. Now, LinkedIn will be looking to see that the comments are in response to the content you have posted or that they are adding value to your post, especially if they are also from your industry of expertise. Also, don’t forget to engage with these comments. Keep the conversations flowing!

Share your perspective

Some people may not know, but LinkedIn uses artificial intelligence to separate posts into certain categories, including opinions and advice. Don’t simply share information that a user can see in multiple other places. LinkedIn wants you to speak from your perspective and give insight into what you are posting. This will allow more people to resonate with your content and, naturally, your post will grow. Plus, nobody likes a robot. Show some personality in your content.

LinkedIn is a powerful tool for building a brand and even generating leads for your business. It is important to remember that you can’t reach every single user on the platform but it is important, as Roth and Xiong said, that you “focus on reaching the right people”. With these updates and the help of Vulse, you can do just that.

Learn more about how Vulse helps you stay ahead of the game with live trending news.

You May also be interested in

Top Jobs Rising in 2026: AI Leads the Way

LinkedIn's annual Jobs on the Rise report tracks which roles are gaining momentum based on changes in user profiles between 2023 and 2025.The clear headline for 2026: AI-related roles are surging.From AI engineers to data annotators, the list reflects how rapidly businesses are adopting and adapting to new AI tools.This isn't speculation about future trends. It's based on actual hiring patterns and career transitions happening right now.The World Economic Forum's Future of Jobs Report predicted this shift, estimating that 23% of jobs would change by 2027 due to AI and automation. LinkedIn's data suggests we're already seeing that transformation accelerate.The top rising roles (U.S.): a quick snapshotAI Engineers - Building and deploying AI systemsAI Consultants and Strategists - Helping businesses apply AI effectivelyNew Home Sales Specialists - Real estate roles adapting to market shiftsData Annotators - Ensuring AI training data qualityAI/ML Researchers - Advancing the science behind AI modelsHealthcare Reimbursement Specialists - Navigating complex healthcare billingStrategic Advisors and Independent Consultants - Flexible expertise on demandAdvertising Sales Specialists - Adapting to changing media landscapeFounders - More professionals launching their own businessesSales Executives - Enterprise sales remains in high demandWhat's notable: six of the top ten roles are either directly AI-related or reflect broader shifts in how work is organised (consultants, founders, specialists).Gartner's research supports this pattern, showing AI technologies moving rapidly from hype to practical implementation across industries.Why AI roles are growing so fastAI tools that didn't exist a few years ago are now mainstream. ChatGPT reached 100 million users faster than any consumer application in history, and enterprise adoption has followed.Organisations now need:Technical talent to build and maintain AI models. The U.S. Bureau of Labor Statistics projects computer and information technology jobs will grow 15% through 2031, much faster than average.Strategists to apply AI effectively. Building AI is one thing. Knowing where it creates value is another. McKinsey's research estimates generative AI could add $2.6 to $4.4 trillion annually to the global economy, but only if organisations deploy it strategically.Quality-control roles like data annotators to ensure training data is reliable. AI models are only as good as their training data. MIT Technology Review has highlighted how data quality directly impacts AI reliability.Beyond technical jobs, the report highlights a rise in founders and independent consultants. More professionals are choosing flexible or self-employed paths as the market shifts. LinkedIn's Workforce Report shows self-employment and contract work growing steadily across industries.What this means for your careerDon't panic. Adapt thoughtfully.AI isn't simply a replacement for human expertise. These systems extend what people can do, but they don't "understand" outputs the way a trained professional does.Research from Stanford's Human-Centered AI Institute consistently shows that AI performs best when paired with human judgment, not when left to operate autonomously.That means:If you already have domain expertise, learning how to use AI tools will boost your productivity and opportunities. You understand context that AI cannot.If you lack core knowledge in your field, relying solely on AI can produce risky or sub-par results. AI can generate plausible-sounding content that's factually wrong or contextually inappropriate.Focus on complementary skillsSkills that combine domain knowledge, critical thinking, and AI fluency will be the most valuable. Harvard Business Review's analysis puts it simply: "AI won't replace humans. But humans with AI will replace humans without AI."The most valuable skill combinations include:Data literacy - Understanding how to interpret, question, and apply data insights. Data Literacy Project research shows only 24% of employees feel confident working with data.Model evaluation - Knowing when AI outputs are reliable and when they need verification.Prompt engineering - OpenAI's best practices show that how you ask AI matters as much as what you ask.Human judgment - The ability to spot where AI outputs need correction, context, or ethical consideration.Practical steps to prepare and upskillStart with purposeIdentify how AI could augment your current role rather than replace it. Ask yourself: What repetitive tasks consume my time? Where could AI handle first drafts while I focus on refinement?Anthropic's research on AI-assisted work suggests the biggest productivity gains come from using AI for structured, repeatable tasks while reserving human effort for judgment-intensive decisions.Mix learning modesCombine technical tutorials with real-world projects and mentorship. LinkedIn Learning's research shows that employees who apply new skills immediately retain significantly more than those who only complete courses.Online courses for foundational knowledgeSide projects for hands-on practiceMentorship for context and career guidanceCommunity participation for ongoing learningTake advantage of free resourcesLinkedIn Learning is offering free courses tied to the "Jobs on the Rise" skills through February 6 (check the full report for details).Other quality free resources:Google's AI Essentials courseMicrosoft Learn's AI modulesCoursera's AI for Everyone by Andrew NgWhere to learn more (trusted resources)LinkedIn's full Jobs on the Rise 2026 report - The primary source for this analysisWorld Economic Forum Future of Jobs Report - Global perspective on workforce transformationMcKinsey Future of Work insights - Research on AI adoption and workforce implicationsO*NET OnLine - U.S. Department of Labor's detailed job descriptions and skill requirementsBureau of Labor Statistics Occupational Outlook - Official U.S. job growth projectionsHow organisations can respondCompanies should invest in reskilling programmes that pair AI tool training with domain-specific knowledge. PwC's Global Workforce Hopes and Fears Survey found that 74% of workers are ready to learn new skills, but only 40% feel their employer provides adequate upskilling opportunities.The gap between employee willingness and employer investment represents both a risk and an opportunity.Internal mobility matters. LinkedIn's Workplace Learning Report shows employees at companies with strong internal mobility stay nearly 2x longer.Storytelling accelerates culture change. Employee advocacy platforms can help amplify upskilling stories, highlight internal mobility, and showcase how teams are evolving. This makes it easier to attract talent in a competitive market where candidates increasingly research company culture before applying.When employees share their learning journeys and career growth publicly, it signals that your organisation invests in people. Glassdoor research shows 86% of job seekers research company reviews and ratings before applying.The 2026 Jobs on the Rise report is a reminder that change is accelerating. AI roles are rising, but the winners will be professionals and organisations that combine human expertise with the right AI tools.The opportunity isn't about becoming an AI expert overnight. It's about understanding how AI fits into your domain and developing the judgment to use it effectively.Start where you are. Learn continuously. Share what you discover.Curious how employee advocacy can help your team ride this wave?Explore how Vulse can amplify skills, share success stories, and attract top talent. Book a demo to see how employee advocacy supports your workforce development goals.

Learn More

LinkedIn Now Lets You Filter Comments by Verified Members

LinkedIn has quietly rolled out a new comment sorting option that lets users filter replies by verified members only. It is a small interface change with significant implications for anyone using LinkedIn as a B2B content and engagement channel. Here is what the update involves and what it means for brands running employee advocacy programmes. What LinkedIn Has Changed LinkedIn has added a third sort option to post comments alongside the existing Most Relevant and Most Recent filters. The new option is called Verified Members, and selecting it shows only comments from users who have confirmed their identity on the platform. According to LinkedIn's own Help Centre documentation, the feature is designed to help members find authentic comments on posts with large comment volumes. The Verified Members filter surfaces insights from trusted professionals while reducing noise from automated, generic, or inauthentic comments. The feature is currently rolling out to a portion of users rather than the full platform, so you may not see it in your account yet. How LinkedIn Verification Works Unlike verification on Meta or X, LinkedIn verification is free. Members can confirm their identity through third-party support partners or by submitting government ID information directly. LinkedIn reported in December 2024 that more than 100 million members had verified their identity on the platform. Given that LinkedIn has over one billion members in total, verified accounts still represent roughly 10 percent of the user base, which is why the filter is a meaningful signal rather than a universal one. Why LinkedIn Is Prioritising Verified Content The timing of this update is not accidental. LinkedIn content has become a leading source for AI-generated answers, with research showing LinkedIn is among the most cited platforms by AI chatbots when generating professional and business-related responses. That citation value depends entirely on the quality and authenticity of the content being cited. If bot-generated or spam comments dilute the signal, LinkedIn's value as a trusted professional data source weakens. Surfacing verified member content is one way to protect the integrity of that data stream. There is also a straightforward commercial incentive: the more LinkedIn can demonstrate that its platform hosts authentic, high-quality professional conversations, the stronger its case for Premium subscriptions, advertising investment, and enterprise product sales. What This Means for Employee Advocacy Teams For B2B brands running employee advocacy programmes, this update has three direct implications. Verified employees carry more weight in comments. If your employees are engaging with prospects' posts, commenting on industry conversations, or responding to your own company content, a verified profile now places them in the priority tier when others filter by verification. An unverified employee advocate may not appear at all in filtered views. Verification is now a baseline, not a bonus. Until now, LinkedIn verification was something advocates could optionally pursue. This update shifts it closer to a minimum standard for anyone whose LinkedIn engagement is part of a broader business development or thought leadership strategy. Comment engagement on company posts becomes more valuable. Posts that attract verified member comments will produce higher-quality filtered feeds. Encouraging senior leaders, subject matter experts, and verified employees to comment on company content is now a deliberate reach and trust strategy, not just a vanity metric. What Advocacy Teams Should Do Now Audit your advocate pool for verification status. Identify which of your active employee advocates have completed LinkedIn's identity verification. For any unverified advocates, share LinkedIn's verification instructions and make verification part of your programme onboarding checklist. Update your advocacy programme guidelines. If you maintain a content kit, employee playbook, or onboarding document for your advocacy programme, add LinkedIn verification as a recommended first step. It takes minutes and the benefit compounds over time as the filter becomes more widely used. Prioritise comment engagement, not just post sharing. Employee advocacy programmes typically focus on sharing content from a library. This update is a prompt to also encourage employees to comment thoughtfully on relevant posts in their feed, particularly high-volume posts in your industry where a verified comment in the filtered view gives disproportionate visibility. Track verified engagement separately. If you are measuring your advocacy programme's impact, start segmenting engagement data by whether the interacting accounts are verified. This will become a more meaningful quality signal as LinkedIn continues to weight verified activity in its surfacing decisions. The Bigger Picture This update sits alongside a series of moves LinkedIn has made in 2026 to improve content quality and deepen the value of its professional data layer. Recent changes include expanded AI-powered conversational search, Crosscheck for comparing AI model outputs, and a leadership transition focused on AI development. The direction is consistent: LinkedIn is investing heavily in the credibility and quality of its professional content ecosystem. For brands whose growth depends on organic LinkedIn reach, that investment is only worth capturing if the humans representing your company in the feed are verified, active, and producing content that stands up to scrutiny. Employee advocacy built on authentic, verified professional voices is not just a nice-to-have in that environment. It is increasingly the baseline for visibility. Frequently Asked Questions What is LinkedIn's verified replies filter? It is a new comment sorting option that lets users view only comments from verified members. It sits alongside the existing Most Relevant and Most Recent filters and is designed to reduce spam and bot-generated comments in high-volume post discussions. Is LinkedIn verification free? Yes. Unlike Meta or X, LinkedIn verification does not require a paid subscription. Members can verify their identity through LinkedIn's third-party support partners or by submitting government ID information. Full instructions are available in LinkedIn's Help Centre. How many LinkedIn members are verified? As of December 2024, LinkedIn reported that more than 100 million members had verified their identity on the platform. LinkedIn has over one billion members in total, meaning verified accounts represent approximately 10 percent of the full user base. Does LinkedIn verification improve post reach? Not directly in terms of algorithmic distribution. However, verified member comments are now prioritised in the new filter view, which means verified advocates are more likely to be seen when users sort comments by verification status on high-volume posts. Should employee advocates get verified on LinkedIn? Yes. With LinkedIn now surfacing verified member comments in a dedicated filter, unverified advocates risk being invisible in filtered comment views. Verification should be treated as a standard onboarding step for any employee participating in a formal advocacy programme. What is the difference between LinkedIn verification and LinkedIn Premium? LinkedIn verification confirms a member's real-world identity and is free. LinkedIn Premium is a paid subscription tier that unlocks additional features including InMail credits, profile insights, and learning tools. The two are independent of each other: a member can be verified without Premium and vice versa. Will this filter affect how company page posts perform? Indirectly. Posts that attract substantial verified member engagement will produce richer, higher-quality filtered comment feeds, which may encourage more users to engage with that content. Brands that actively encourage verified employees to comment on company posts are likely to benefit as the filter becomes more widely adopted.

Learn More

How To Use LinkedIn Articles And Newsletters To Scale Employee Thought Leadership

In this exclusive guide, we'll show you how B2B marketing and HR teams can use LinkedIn long-form content, specifically Articles and Newsletters, to build scalable employee thought leadership that drives trust, discoverability, and pipeline signals.Purpose: Practical steps to launch and scale employee-written LinkedIn Articles and Newsletters.Outcome: Increased discoverability, shareable assets, and repeatable workflows for employee advocates.Who this helps: Marketing managers, internal comms, and HR teams running employee advocacy programs.Why long-form content matters for employee personal brandsShort posts amplify reach, but Articles and Newsletters create lasting assets.They index on LinkedIn and search engines, demonstrate expertise, and give employees a reusable content hub for speaking, sales enablement, and recruiting.LinkedIn’s own guidance on newsletters and articles shows they help authors build a subscriber base and extend reach beyond a single post. See LinkedIn’s help center for how LinkedIn newsletters work.Three reasons to include Articles and Newsletters in your employee advocacy playbookSearchable credibility: Articles live on the author’s profile and can be found via Google and LinkedIn search.Subscriber momentum: Newsletters create an opt-in audience that notifies subscribers when new issues publish.Repurposable assets: Long-form pieces feed shorter posts, videos, and sales enablement collateral.How to run a low-risk pilot for employee Articles and NewslettersStart small with a 6-week pilot that focuses on coaching, templates, and measurement.Week 0: Select authors and set goalsChoose 4 to 8 employees across sales, product, and customer success.Set simple goals: subscribers, article views, and lead signals from comments or messages.Week 1-2: Train and templateRun a two-hour workshop on topic selection and storytelling. Use practical templates: intro hook, 3 insight sections, and action items.Provide a headline swipe file and SEO tips for LinkedIn Articles.Week 3-6: Publish and amplifyPublish one article per author and convert it into a weekly or biweekly newsletter issue if traction appears.Amplify through employee networks with a simple share kit: suggested post copy, hero image, and tagging guidelines.Editorial and governance rules that keep the program scalableLong form introduces brand and compliance risk if unmanaged.Put straightforward governance in place:Lightweight editorial review for claims and sensitive content.Ownership rules: authors own voice, company reviews for legal or customer references.Republishing policy: who can repurpose company blog content and how to credit sources.Measurement: metrics that matterMeasure both direct and downstream impact.Direct: article views, read time, newsletter subscribers, and engagement rate.Downstream: inbound messages, demo requests mentioning content, and link clicks to gated assets.Track a small set of KPIs and add qualitative win stories from sales and recruiting.Repurposing playbook: get more from each long form pieceExtract 3–5 short posts promoting key quotes or stats.Create a 60–90 second video summarizing the article for LinkedIn native video.Convert article sections into a downloadable slide or checklist for lead capture.Tools such as an employee advocacy platform can automate content distribution and track amplification across the team.Best practices and examplesEncourage authenticity and useful takeaways. HubSpot’s guide to LinkedIn Articles is a practical resource for structure and optimization.Also, review industry thought leadership research to understand what audiences value in long-form content.Tip: Start with customer problems, lessons learned, or unique frameworks rather than promotional pieces. Readers subscribe for insights, not pitches.Questions AnswersQ: Who should own editorial coaching for employee newsletters?A: A cross-functional content lead or communications manager should coach authors, supported by subject matter reviewers.Q: How often should employees publish newsletters?A: Start with biweekly or monthly cadence. Frequency should match the author's bandwidth and the audience response rate.Q: Can company content be republished as employee articles?A: Yes, with clear attribution and small edits to reflect the author voice. Include a republishing clause in your governance doc.

Learn More