LinkedIn announced not just 1 but 3 LLMs under the hood

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	Forwarded this email? Subscribe here for more The Unofficial LinkedIn Algorithm Guide, Refreshed AGAIN LinkedIn announced not just 1 but 3 LLMs under the hood Christopher S. Penn Mar 13   READ IN APP   Yesterday, LinkedIn FINALLY confirmed what we all knew: there's a new algorithmic sheriff in town. Well, it's not so much a sheriff as it is an entire department. At Trust Insights we've been covering the LinkedIn algorithm for the past two years based on academic papers, engineering content, conference presentations, and more. And we've just updated our Unofficial LinkedIn Algorithm Guide with the latest announcements and papers from yesterday that help you understand what's happening under the hood. Here's the good news: if you've been focused on meaningful engagement (leave those comments!) and producing useful, helpful content, nothing really changes for you. There are some nuances about how LinkedIn's LLMs work and little things you can do, but for the most part, the evergreen advice is evergreen for a reason: the LLMs under the hood are nearly impossible to "hack" or "game". Anyone telling you otherwise doesn't understand the systems and how they work together. Two things matter more than ever: profile clarity and behavioral coherence. Because of the nature of LLMs themselves (and LinkedIn is using an ensemble of them, not just one) you have to interact with them in meaningful, semantically coherent, consistent ways. What are you an expert in? Lean into that in the majority of your interactions. And do it frequently. The new sequential transformer LLM under the hood of the generative recommender looks at your behavior over time. There's a lot more detail than I can fit in a newsletter, so go grab your copy of the completely refreshed Unofficial LinkedIn Algorithm Guide, free of cost! 👉 Get your copy here: https://www.trustinsights.ai/insights/whitepapers/the-unofficial-linkedin-algorithm-guide-for-marketers/ See you on Sunday for the regular newsletter, Chris Invite your friends and earn rewards If you enjoy Almost Timely Newsletter, share it with your friends and earn rewards when they subscribe. Invite Friends   Like Comment Restack   © 2026 Christopher S. Penn 548 Market Street PMB 72296, San Francisco, CA 94104 Unsubscribe