LinkedIn's 360Brew algorithm doesn't just measure engagement. It reads your content, checks your profile, and decides whether you're qualified to write what you're writing. Here's what it actually rewards — and what it doesn't.
LinkedIn's previous algorithm used engagement as a proxy for quality. A post with a lot of likes got distributed. A post that got comments got more comments. The signal was circular — popular content got popular because it was already popular.
The 360Brew overhaul broke that loop. The new system actually reads your post. It evaluates meaning, detects engagement bait, and checks your profile to see if you have the authority to write about what you're writing about.
This is LinkedIn's version of Google's E-A-T framework — Expertise, Authoritativeness, Trustworthiness. The platform is no longer just asking "did people engage with this?" It's asking "is this person qualified to say this, and did they say something worth reading?"
For people who've been gaming engagement tactics, this is bad news. For people who've been writing from genuine expertise, it's the best algorithm update in years.
Not all engagement signals are equal anymore. Here's how the algorithm weights them:
Comments are 15x more impactful than likes. Shares are somewhere in between. A like takes one second and signals almost nothing. A comment requires someone to stop, read carefully enough to form a response, and type it out. That's a real signal of content quality.
This changes how you should think about what you're writing. A post that provokes 10 genuine replies — people adding their experience, asking follow-up questions, disagreeing with a specific point — will get significantly more distribution than a post that collects 100 likes and five emoji comments.
The implication: write content that makes people want to respond, not content that makes people want to tap a button. There's a difference, and the algorithm has learned to see it.
This is the biggest change most people haven't absorbed. When LinkedIn's algorithm decides how to distribute your post, it doesn't just look at the post. It looks at you.
Your job history, headline, about section, and posting history are all part of the evaluation. LinkedIn is building a knowledge graph of what topics each person is associated with — and distributing their content accordingly.
A sales leader who's been consistently writing about pipeline strategy for six months will get more distribution on a post about sales than someone who posts about sales once and otherwise posts about personal development and industry news.
This means topical consistency matters more than it ever has. Pick the two or three domains where you have genuine expertise. Write about those. Your profile and your posting history need to reinforce each other. The algorithm is connecting those dots and using them to decide your authority.
The list of things that used to work and now actively hurt your reach:
Engagement bait questions. "What's your biggest career lesson? Drop it below 👇" generates comments that the algorithm now recognizes as low-quality responses. The new system can detect the difference between a conversation and a comment-farming prompt.
Hashtag stuffing. Broad hashtags like #Leadership, #Marketing, and #Growth no longer push your posts into feeds the way they once did. LinkedIn's Victoria Taylor and Sam Corrao Clanon confirmed this directly: following a hashtag doesn't reliably surface content anymore. Hashtags function as clarifiers now, not distribution engines.
Generic inspirational content. Posts that could've been written by anyone — "Monday reminder: your network is your net worth" — are exactly what 360Brew was built to detect and suppress. The algorithm is looking for specificity. Content without it doesn't pass the quality threshold.
The posts getting strong distribution in 2026 share a few consistent traits:
"How I" beats "How to." A post about how you handled a specific situation in your career contains information no one else has. A post about how to handle that situation in general contains information anyone could find anywhere. The algorithm and the audience both reward the first kind.
Real numbers beat polished takes. "We increased close rate by 22% after changing our discovery questions" is more valuable than "building rapport with prospects is essential to closing deals." Specificity is proof of experience. The algorithm treats it as a credibility signal.
A clear position beats presenting both sides. Posts that say "there are pros and cons to every approach" are saying nothing. The 360Brew system rewards perspective — content that takes a stance, explains the reasoning, and invites real engagement from people who agree or disagree. Hedge everything and you'll be seen by no one.
Your domain of expertise, consistently. Not a variety of topics because variety keeps things fresh. Your actual expertise, written with the depth that only someone who's done the work can bring.
The algorithm is a filter for people who have something worth saying. The question isn't how to game it — it's whether your content sounds like it could only come from you.
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