LinkedIn Adds New Tools to 'Creator Mode'

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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.

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LinkedIn Launches Conversational AI Search

LinkedIn just added another AI layer to its platform: conversational search. Instead of tinkering with multiple filters, you can now type a plain-language request like 'ex-coworkers who became founders in healthcare in NY' and get people, pages, and posts that match your query.The feature is currently rolling out to LinkedIn Premium subscribers in the US and will reach more members soon.This change is part of LinkedIn's broader push to embed AI across the app, supported by parent company Microsofts continued investments in AI research and products. For context on Microsofts AI focus, see the Microsoft AI blog.How conversational search works and where it helpsPlain-language queries, smarter matchesConversational search lets you describe what you need in natural language. That lowers the barrier for non-technical users who previously had to combine multiple filters to locate specific people or content. Recruiters, partnership leads, and sales teams may find it especially useful for discovering niche expertise or overlooked connections in their network.Typical use casesFinding specialized talent, for example, ‘angels with FDA experience for an early biotech’Reconnecting with former colleagues who moved into relevant rolesFinding content or pages relevant to a niche topic without manual filteringPrivacy and accuracy considerationsWhile this feature sounds powerful, it raises some important questions:Data scope: LinkedIn can only search what users have shared on their profiles and posts. That limits results to publicly available or network-visible data.Representation: People tend to present their best professional selves on LinkedIn, so results may skew positive or omit relevant but unflattering details.Sensitive queries: Historically, features like Facebooks Graph Search exposed privacy risks by enabling granular searches. For more background, see the discussion of Graph Search and its implications at https://news.ycombinator.com/item?id=5100679 and consider how platforms must balance utility with privacy.LinkedIn will need strong guardrails to prevent enabling searches that could be used to surface sensitive personal information or to target people unfairly.Tips for professionals and recruiters using conversational searchFor job seekers and talentAudit your profile: Update headlines, skills, and experience to reflect how you want to be found.Use privacy settings: Review what information is public vs network-only to control visibility.Be authentic: AI can surface inconsistencies if you overstate skills or experience.For content creators and employee advocatesOptimize your profile and posts: Use clear keywords in your summary and content to improve discoverability with natural-language queries.Encourage teammates to update profiles: A consistent, accurate employee presence helps your company surface as a trusted source. Learn how employee advocacy can amplify reach at https://vulse.co/.What to watch nextLinkedIn has already added conversational language queries for job discovery, and its evolving AI toolkit keeps getting broader. Expect more targeted search enhancements and integration across LinkedIn experiences.At the same time, monitor how well the feature returns accurate and relevant matches, and whether it respects privacy boundaries.Conversational AI search promises convenience and faster discovery, but its value will depend on result quality and responsible roll-out.For organizations, this is a reminder to keep employee profiles up to date and to think strategically about how employees represent themselves online.For additional reporting on this feature, see LinkedIn's announcement and a coverage piece on how LinkedIn is using AI for job discovery.Want to make the most of LinkedIn's AI search for your brand or career?Explore our platform to learn how employee advocacy and optimized profiles can increase discoverability.

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LinkedIn Simplifies Thought Leader Ads For Easier Discovery

LinkedIn has made it simpler for brands to discover and sponsor user-generated content (UGC) with a new, streamlined discovery feature in Campaign Manager.This update helps marketers find relevant posts that mention their brand or event across 1st, 2nd and 3rd+ degree connections - then request permission to promote them as Thought Leader Ads.What’s new in Campaign ManagerEasier content discovery: A built-in search and highlight function surfaces posts, articles and newsletter pieces that mention your brand or event.Wider reach: You can now discover content from beyond your immediate network (including 3rd+ degree connections).Partnerships tab: Sponsored content opportunities are shown in a dedicated “Partnerships” area, and you can filter by content type to streamline outreach.Why brands should careThought Leader Ads let companies amplify authentic voices, not just company posts, by sponsoring organic content created by others.LinkedIn reports these ads see about 2x higher click-through rates than comparable single-image ads, making them an attractive option for boosting engagement and credibility.Key benefits:Authenticity: Boosting real users’ posts can feel more trustworthy than brand-only messaging.Efficiency: Built-in discovery reduces time spent hunting for promotable content.Scale: Access to 3rd+ degree posts expands potential sponsorship candidates.How to use LinkedIn Thought Leader Ads (step-by-step)1) Find relevant contentUse the new discovery tools in Campaign Manager’s Partnerships tab to surface posts, LinkedIn articles or newsletters that mention your brand or event.2) Get permissionBefore promoting anything, request sponsorship permission from the content creator. LinkedIn’s workflow in Campaign Manager makes it easier to send and track those requests.3) Launch a campaignOnce approved, you can convert the organic post into a Thought Leader Ad and run it with your chosen targeting and budget.Creator monetization: a possible next stepWhile the current process focuses on sponsorship permission, the improved discovery flow could lay groundwork for future monetization for creators.If LinkedIn decides to share ad revenue with creators whose posts are sponsored, it could create a new incentive for posting brand-positive content.That said, brands and platforms should balance monetization with authentic dialogue; paid incentives can unintentionally skew commentary.Coverage and context on LinkedIn’s broader creator efforts:Best practices for brandsPrioritize relevancy: Sponsor posts that genuinely align with your messaging and values.Be transparent: Clearly communicate sponsorship terms with creators.Measure performance: Compare Thought Leader Ads’ CTR and engagement to other ad types to understand ROI.Respect authenticity: Avoid pressuring creators into overly promotional content; authentic endorsements perform best.LinkedIn’s updated discovery tools make Thought Leader Ads easier to find and activate, opening up new opportunities to amplify user voices and boost campaign performance.As this feature rolls out to more countries, it’s worth testing Thought Leader Ads alongside existing ad formats to see how UGC-driven promotions perform for your brand.

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