LLMs are pulling from LinkedIn.com more than most marketers realize. Company pages, articles, and posts are being ingested, summarized, and cited in AI-generated answers across search tools, copilots, and chatbots.

But what determines which content gets surfaced and which gets ignored?

Drawing on LinkedIn's own internal research, this talk breaks down how large language models interact with LinkedIn content, what structural and semantic signals matter, how authority and engagement factor in, and what you can do today to increase your chances of being cited.

You'll walk away with a practical framework for creating LinkedIn content that performs not just in the feed, but in the AI-powered search layer that's rapidly sitting on top of it.
You'll learn:

-How LLMs select and prioritize LinkedIn content for citation
-The content formats and structures that outperform in AI retrieval
-What LinkedIn's own research reveals about discoverability in an LLM context
-Tactical changes you can make to company pages, posts, and articles right now