Key Takeaways
- B2B marketers should prioritize original, buyer-focused content and optimize it for both LinkedIn’s evolving feed and AI-powered search.
- Success is shifting away from impressions and likes toward comments, saves and meaningful conversations with your target audience.
- LinkedIn’s feed increasingly rewards topic authority, authentic expertise and meaningful engagement over generic, engagement-driven content.
- Executive and subject matter expert (SME) content plays a larger role in content discovery, while company pages reinforce credibility throughout the buyer journey.
If your LinkedIn performance looks different than it did a year ago, you’re not imagining it.
Did LinkedIn Change Their Algorithm?
Over the past several months, B2B marketers have reported noticeable shifts in reach, engagement, and content visibility. At the same time, rumors about LinkedIn “changing the algorithm” have spread across social media, making it difficult to separate facts from speculation.
To understand what has changed, 10Fold Communications analyzed LinkedIn’s official product announcements, engineering updates, and independent industry research. While there wasn’t one major algorithm overhaul, the evidence points to a clear evolution in how LinkedIn recommends content.
The platform is becoming better at identifying professional expertise and connecting valuable content with the people most likely to benefit from it. Rather than rewarding content designed to generate quick interactions, LinkedIn is increasingly prioritizing relevance, authenticity, and meaningful engagement.
For B2B marketers, that’s good news. Organizations that consistently share original insights, demonstrate expertise, and create content for their ideal buyers have more opportunities to reach audiences beyond their existing followers.
Here’s what changed, what it means for your content strategy, and how you can adapt.
What Changed in the LinkedIn Algorithm?
LinkedIn didn’t introduce a single “June algorithm update.” Instead, since June, the platform has been evolving its recommendation system through a series of product updates and engineering improvements.
One of the biggest changes came on March 12, 2026, when LinkedIn Engineering announced its next-generation feed architecture, powered by large language models (LLMs). Rather than relying primarily on network connections or engagement history, the new system better understands a member’s professional interests and uses semantic understanding to recommend the most relevant content. This allows LinkedIn to surface posts based on expertise and relevance, versus who someone follows.
That engineering work is supported by LinkedIn’s published research paper, “An Industrial-Scale Sequential Recommender for LinkedIn Feed Ranking,” which explains how the platform’s ranking models analyze sequences of member behavior to better predict which professional content will provide value. Instead of treating every interaction equally, the recommendation system continuously learns from member interests and engagement patterns to improve feed quality over time.
For marketers, this means content is increasingly being discovered because of what it’s about, not who posted it.
LinkedIn has also reinforced that it wants to improve the quality of conversations happening across the platform. In its announcement, “Keeping Conversations Real on LinkedIn,” the company explained that it’s investing in systems that encourage authentic participation while limiting spammy and low-value engagement. Those efforts align with a broader emphasis on rewarding meaningful professional conversations instead of engagement tactics.
Another important shift is LinkedIn’s approach to AI-generated content. AI can be an effective tool for brainstorming and editing, but LinkedIn has made it clear that content should still reflect genuine expertise and original perspectives. Generic, repetitive AI-written posts that provide little value are less likely to earn visibility. Industry analysis from Richard van der Blom’s 2026 LinkedIn Algorithm Insights Report supports this trend, showing that original thought leadership and consistent topic expertise continue to outperform templated AI-generated content.
Taken together, these updates signal a clear direction. LinkedIn is moving away from rewarding content volume and toward rewarding expertise, relevance and authentic professional value.
How Does the LinkedIn Algorithm Affect My Content?
These changes affect far more than what appears in someone’s feed. They change how B2B marketers should think about creating content altogether.
Perhaps the biggest implication is the growing importance of executive and subject matter expert voices. As LinkedIn’s recommendation system becomes better at understanding topics and professional expertise, authentic insights from leaders are increasingly positioned to reach audiences outside an organization’s immediate network. Instead of simply publishing company updates, businesses have an opportunity to establish credibility through the people who know their industry best.
That doesn’t mean company pages are becoming less important. Quite the opposite.
Company pages remain essential for reinforcing brand credibility through customer stories, product announcements, research, and corporate news. Think of it as a resource hub. Executive profiles and company pages now play complementary roles: individuals help drive discovery, while brand pages provide the proof points that support the buyer’s journey.
The research also reinforces the value of consistency. Organizations that repeatedly publish around a focused set of strategic themes are more likely to build recognizable topic authority than those constantly chasing whatever is trending that week. Over time, this consistency helps both audiences and LinkedIn understand what your organization should be known for.
Marketers should also reconsider how they measure success.
Reach and impressions still matter, but they no longer tell the full story. LinkedIn’s evolving recommendation system increasingly rewards signals that demonstrate genuine value, including thoughtful comments, saves and meaningful conversations. Those interactions indicate that content is helping professionals solve problems, learn something new, or contribute to an industry discussion.
Creating more content isn’t the goal. Creating more valuable content is.
What Should B2B Marketers Do to Improve LinkedIn Performance?
The good news is that most B2B marketers don’t need to completely rethink their LinkedIn strategy. They need to refine it.
As LinkedIn’s recommendation system evolves, success increasingly comes from consistently demonstrating expertise rather than trying to outsmart the algorithm. Instead of chasing every trending topic or posting simply to maintain volume, marketers should focus on building authority around the subjects they want their brand to own.
Start by identifying one to three core narratives that align with your company’s expertise, customer challenges, and business goals. Publishing consistently around these themes helps establish topic authority while making it easier for LinkedIn to understand what your content is about and who should see it.
Executive thought leadership should also be a priority. Leaders and subject matter experts have a unique opportunity to share industry insights, customer lessons, and firsthand experiences that audiences can’t find anywhere else. These authentic insights are more likely to spark meaningful conversations than polished promotional messaging alone. A great way to validate expertise is by sharing media articles in which the executive’s commentary was sourced through third party corroboration.
Content quality also matters more than ever. AI can accelerate content creation, but it shouldn’t replace original thinking. The most successful LinkedIn content combines expert perspectives and provides value beyond what’s already available online.
Because LinkedIn is increasingly recommending content based on professional interests rather than existing connections, marketers should write for their ideal buyers. Answering common customer questions, addressing industry challenges and providing actionable insights creates opportunities to reach new audiences that are actively interested in your area of expertise.
It’s also important to optimize content not only for LinkedIn’s feed, but also for AI-powered search. As more professionals turn to AI tools to discover and summarize information, content that is well-structured, clearly written and rooted in genuine expertise is more likely to be surfaced and cited.
If you’re looking to improve how your content performs across both LinkedIn and AI-powered search, download our Writing for AIO Optimization Guide to learn practical ways to structure content for greater visibility and discoverability.
How Can B2B Marketers Stay Ahead of Future LinkedIn Algorithm Changes?
The best way to stay ahead of LinkedIn’s algorithm isn’t to chase every rumored update. You need to build a strategy that’s aligned with where the platform is headed.
LinkedIn’s recent engineering updates make one thing clear: the platform is investing in delivering more relevant, higher-quality professional content to its members. Rather than rewarding engagement tactics or content produced simply for volume, LinkedIn is increasingly prioritizing expertise, relevance and authentic conversations. According to LinkedIn Engineering, advances in its LLM-powered recommendation system are designed to better understand members’ professional interests and connect them with the content that will be most valuable to them. That direction is also reflected in LinkedIn’s efforts to encourage authentic conversations and improve the overall quality of content across the platform.
For B2B marketers, that means long-term success won’t come from trying to “beat” the algorithm. It will come from becoming a trusted source of information within your industry.
Organizations that consistently publish original insights, empower executives and subject matter experts to share their knowledge and create content around the questions their buyers are asking will be in the strongest position to earn visibility. Regardless of how LinkedIn’s recommendation system continues to evolve.
The fundamentals remain the same:
- Prioritize topic authority over chasing every trending subject.
- Invest in executive thought leadership and employee expertise.
- Optimize your content for both LinkedIn and AI-powered search.
- Create original, buyer-focused content grounded in real-world experience.
- Measure success by qualified engagement and meaningful conversations.
While the technology behind LinkedIn’s feed will continue to evolve, the organizations that consistently demonstrate expertise and create value for their audiences will be best positioned for long-term success.
If you’re looking to strengthen your social strategy or build a LinkedIn content program that supports both today’s platform and tomorrow’s AI-driven search landscape, 10Fold Communications can help you develop an integrated B2B marketing strategy built for long-term visibility, credibility and growth.