LinkedIn in 2026
How the LinkedIn Algorithm Actually Works Now
LinkedIn replaced its stack of ranking rules with one large language model. It reads your profile, your post, and your readers' behavior together, and most of the old advice now works against you.
In 2026 LinkedIn ranks the feed with 360Brew, a single large language model that reads your profile, your post text, and reader behavior together. Your headline now decides who sees your posts, saves outweigh likes, and hashtags are dead. Here is what actually moves reach today.
What changed in 2026
The old feed stacked hand-tuned heuristics: keyword matches, engagement velocity, creator-mode boosts. 360Brew replaced them with one model that acts as a retrieval gate: it decides whether your post even enters competition before any engagement is counted. Three shifts matter most.
Your profile is a ranking input
The model matches every post's topic against what your headline and About section claim you are an expert in. Post about a topic your profile does not claim and distribution is throttled, no matter how good the post is. Profile, About, and posts need to tell one cohesive story.
The first sentence carries the weight
The model reads your post the way a person does: the opening line sets the topic and the level of insight. A first sentence that states a concrete claim or number outranks one that teases. The old advice to 'hook' still holds; vague curiosity bait no longer does.
Consistency beats volume
Accounts that hold 2 or 3 defined topic areas for 90+ days build a topic profile the model trusts. Scattered posting does not just underperform on the off-topic post: it dilutes the credibility of every post you make.
The new signal hierarchy
Engagement still matters, but the ranking of signals flipped. What creator studies consistently report, from strongest to weakest:
- 1
Saves
The strongest public signal. A save says the post is worth returning to. Reported at roughly 5x the weight of a like in independent reach studies.
- 2
Private shares (DMs)
Sending a post to someone in a direct message is treated as a near-endorsement. Invisible in public counts, heavy in ranking.
- 3
Substantive comments
Comments of three or more sentences that add a data point or a counterpoint. 'Great post!' is worth nothing; the model reads the comment text.
- 4
Dwell time
Officially confirmed as a factor. Posts and documents people actually read outrank posts people scroll past, which is why format choice matters.
What died
- Hashtags. The model scans the actual text of your post against interest graphs; hashtags add nothing and mark the post as dated. Drop them entirely.
- Links in the first comment. The workaround is obsolete: a link placed at the end of the post body, after the value and with a line of context, no longer suppresses reach and reportedly performs slightly better.
- Engagement pods. Coordinated engagement from irrelevant accounts is exactly what a relevance model filters out. Engagement from people in your field carries several times the weight of random connections.
- Polls. Occasionally wide reach, consistently poor follower growth and conversion. Use them rarely, if at all.
What creator studies report
The 2026 numbers
~5x
reported weight of a save versus a like
2-3x
dwell time on document carousels versus text posts
+5%
reach for posts with an in-body link given enough context
90 days
of topic consistency to build a trusted profile
These figures come from independent creator studies and reach analyses, not from LinkedIn itself. Treat them as directional, the ordering is what matters.
Profile rules: make the gate work for you
Because the profile is now a ranking input, profile optimization stopped being cosmetic. Three moves matter:
Name your 2-3 expertise areas in the headline
The model reads the headline literally. 'Helping people win at work' claims nothing; 'Product marketing, B2B SaaS pricing, EU go-to-market' claims three topics your posts can rank for. Keep them consistent with what you actually post about.
Open the About section with what you write about
The first two lines of the About section should state your topics, not just your track record. Cohesion between headline, About, and post topics is what the model measures.
Use the Featured section as your link home
Portfolio, newsletter, booking page: pin them in Featured instead of pushing them into every post. Featured is the one place links belong by design.
Frequently asked questions
Your profile is now your distribution
Our AI rewrites your headline and About section so recruiters find you and the algorithm knows exactly what you are an expert in, built from your real experience, not templates.
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