The LinkedIn algorithm in 2026 ranks posts primarily on Depth Score, a dwell-time and read-completion signal, combined with early velocity (engagement in the first 60-90 minutes), the quality of replies (not just count), and relevance matching to each viewer's network and interests. In short: LinkedIn now cares less about raw likes and more about whether people actually stop and read your post.
I work with founders and marketing teams building LinkedIn presence from scratch, and the single biggest misconception I run into is people still optimizing for the 2019-2021 version of this algorithm, chasing comments in the first hour with "comment YES below" hooks. That doesn't work the way it used to. Here's what actually matters now, with a real worked example.
What is Depth Score?
Depth Score is LinkedIn's shorthand (not always the exact public term, but the concept engineers and creators use to describe it) for a ranking signal built around how long someone actually engages with your content relative to its length, not just whether they engaged at all.
Concretely, Depth Score is estimated from:
- Dwell time, how many seconds someone spends with your post on screen, whether they expand "see more," and whether they scroll back up to reread a line.
- Completion rate, for text posts, did they read to the end (inferred from scroll behavior and time-on-post); for video, what percentage they watched; for carousels, how many slides they swiped through.
- Post-engagement behavior, did they click through to your profile, follow you, or click a link, after spending time with the post (versus a drive-by like while scrolling past).
This is a meaningful shift from a pure "likes + comments + shares" model. A post that gets 300 likes from people scrolling past and tapping the like button without reading is now worth less to the algorithm than a post that gets 80 likes but where the average reader spent 25+ seconds on it.
A worked example: two posts, same likes, very different reach
Let's say you publish two posts on the same day, both get roughly 150 reactions in the first 24 hours.
Post A: A one-liner hot take, "Cold outreach is dead. Change my mind.", gets 150 quick reactions, mostly from people who read the line, reacted in under 3 seconds, and scrolled on. Average dwell time: ~4 seconds. Very few comments beyond emoji reactions or "agreed."
Post B: A 900-word breakdown of exactly how you booked 12 meetings from cold outreach last month, with the actual message templates and response rates. It gets the same 150 reactions, but the average reader spends 35-45 seconds with it, they're reading, some expand "see more," a chunk click through to your profile afterward, and the comments are substantive ("what was your subject line for template 2?").
Under the old engagement-count model, these two posts would perform similarly. Under the 2026 Depth Score-weighted model, Post B gets meaningfully more reach in the following 12-24 hours because its Depth Score is dramatically higher, LinkedIn interprets high dwell time + completion + substantive replies as strong evidence the content is worth showing to more people, not just worth a quick reaction.
This is why you'll see accounts with lower total reaction counts but consistent, growing reach, they're optimizing for depth, not volume.
The four ranking signals that matter most in 2026
1. Depth Score (dwell time / completion), covered above. This is the newest and most influential addition to the ranking model. It rewards content people actually stop for.
2. Early velocity (first 60-90 minutes), LinkedIn still uses your post's performance in a short initial window to decide how far to expand distribution beyond your immediate network. This window has tightened compared to a few years ago (it used to be closer to a full hour-plus with more leeway); now the first 60-90 minutes largely determine whether a post gets a second wave of distribution at all.
3. Meaningful reply quality, LinkedIn's systems increasingly weight comments that are substantive (a real sentence, a question, a disagreement) over generic ones ("Great post!", emoji-only). A handful of genuine, back-and-forth comment threads outperforms fifty low-effort ones.
4. Relevance matching, LinkedIn scores how relevant your post's topic, hashtags, and your profile's expertise signals are to each individual viewer's stated interests, industry, and past engagement behavior. This is why a post can do great with one audience segment and flop with another even at the same follower count, it's being distributed selectively based on fit, not blasted uniformly.
What this means for how you should actually write posts
Write for the reread, not the scroll-past. Your first two lines need to earn the "see more" click, but your body needs to earn the full read. That means real structure, short paragraphs, a clear narrative or numbered breakdown, specifics instead of platitudes. If someone can get the entire value of your post from the first two lines, they won't dwell, and dwell is now the currency.
Front-load specificity, not just curiosity hooks. "I made a huge mistake last quarter" (pure curiosity, no information) dwells worse than "I made a $40K mistake with our ad spend last quarter, here's what happened" (curiosity plus enough specificity to signal there's real substance ahead).
Protect your first 60-90 minutes deliberately. Post when your actual audience is online (check your own analytics, not generic "best time to post" advice), and be present to reply to early comments quickly and substantively, this both drives velocity and improves your reply-quality signal simultaneously.
Ask questions that require a real answer, not a reflex. "Agree or disagree?" gets reflex comments. "What's the one channel you'd cut first if your budget got sliced in half?" gets a real comment, because it requires the reader to actually think and construct a sentence, which also means they dwelled on your post long enough to formulate it.
Longer isn't automatically better, relevant length is. A 1,500-word post that rambles has worse completion rate than a tight 400-word post that says exactly what it needs to. Depth Score rewards completion relative to length, not length itself. Match the length to how much the idea actually needs.
Don't fake engagement bait. "Comment 'link' and I'll DM you" tactics generate low-quality, low-dwell interactions that increasingly hurt more than help under a depth-weighted model, because the resulting engagement has effectively zero dwell time attached to it.
FAQ
What is LinkedIn's Depth Score exactly? It's the informal name for LinkedIn's dwell-time and completion-rate ranking signal, how long people actually spend with your content and whether they read/watch/swipe through it, not just whether they reacted. It's one of several inputs into the broader ranking algorithm, alongside velocity, reply quality, and relevance matching.
Does LinkedIn still reward comments in the first hour? Yes, but the window has tightened to roughly the first 60-90 minutes, and comment quality now matters as much as comment count. A handful of substantive replies in that window outperforms a flood of generic ones.
Do hashtags still matter for the LinkedIn algorithm in 2026? They matter less for direct reach and more as a relevance-matching signal, helping LinkedIn understand your post's topic for distribution to interested viewers. Use 2-3 specific, relevant hashtags rather than a long generic list.
Does posting frequency affect LinkedIn reach in 2026? Consistency matters more than raw frequency. Posting 3-4 times a week with high dwell time consistently outperforms daily posting with low-effort content, because each low-quality post can slightly drag your account-level distribution.
Is video favored over text posts under the new algorithm? Neither is inherently favored, the algorithm evaluates each format on its own completion metrics (watch-through for video, read-through for text, swipe-through for carousels). What matters is whether the format matches what you're trying to say; forcing a simple idea into video, or a complex one into a single text line, hurts your completion rate either way.
If you want to see the Depth Score principles above applied in practice, check out how this played out in the Masai School LinkedIn and Instagram growth work I led. And if you're building out a LinkedIn strategy for your founder or brand account, get in touch, I'm always happy to talk through what's working right now.