Rather than having the classic marketing team structures where each member is part of some silo around their expertise, you now want to build temporary pods with a clearly defined outcome. Classic marketing team (the old way): AI-era marketing team (the new way): The pods get assembled based on what the desired outcome is and ...
Brian dropped this on LinkedIn a few days ago: And then there’s this noteworthy comment underneath: Now there’s the other end of the spectrum too. I’ve got friends who have doubled down on spammy, low-quality blackhat tactics, and they’re ironically winning big too. But they know it’s a short term play that doesn’t apply to ...
When everything is getting AI sloppified, this is a delightful relief, and the 1600+ reactions to that silly post show I’m not the only one. What’s more, I kinda know what tl;dv is and does, but now I remember than Reneé Shaw works there, and that she’s smart and funny af and it makes me ...
The LinkedIn warm-up tactic works because your member embedding refreshes within 30 minutes of activity and the ranking model weights your most recent interactions highest. It’s not superstition. It’s infrastructure timing. There’s a piece of LinkedIn advice that sounds like it belongs in the same category as “post at 8:07am on Tuesdays” or “use exactly ...
Most people assume their LinkedIn feed is shaped by everything they do on the platform. Every like, every scroll, every “I don’t want to see this” click. That all of it feeds some giant behavioral model that decides what to show them next. It doesn’t. The architectural choice nobody talks about LinkedIn’s retrieval system, a ...
LinkedIn’s new AI pipeline gives new accounts a structural advantage, but only if they optimize their profile and engagement before publishing a single post. Every piece of LinkedIn advice for new accounts says the same thing: start posting. Build your content library. Get your name out there. Publish, publish, publish. That advice made sense three ...
Every like, comment, and share on LinkedIn feeds directly into the AI system that defines your professional identity to the algorithm, making engagement a positioning strategy, not a social habit. A demand gen leader spends three months building a tight LinkedIn profile. Headline tuned to the exact role. About section loaded with the right professional ...
LinkedIn’s retrieval system literally uses your profile as input to a 3-billion-parameter language model, making profile optimization a form of prompt engineering with compounding algorithmic returns. Somewhere in a cluster of 72 H100 GPUs, a fine-tuned LLaMA-3 model is reading your LinkedIn profile right now. Not skimming it. Not glancing at your headline. Reading the ...
LinkedIn replaced keyword matching with LLM-generated embeddings, which means every word you write nudges your position in a 3,072-dimensional concept-space that determines who sees your content. A B2B marketer rewrites her LinkedIn headline. Swaps “Digital Marketing Manager” for “Demand Generation | B2B SaaS | ABM.” Adds a few trending hashtags to her posts. Sprinkles “revenue” ...
LinkedIn’s new AI retrieval system gives low-connection accounts 3-4x larger performance gains than established ones, turning a well-written profile into the fastest path out of obscurity. Every LinkedIn strategy post starts the same way: build your network first. Get to 500 connections. Engage consistently for months before you expect results. The implication is clear: new ...