LinkedIn Algorithm Signals Reference (January 2026)
Quick reference for ranking signals, weights, and penalties. For detailed context, see SKILL.md.
Positive Signals (Ranked by Weight)
Tier 1: Highest Impact
| Signal |
Weight |
Notes |
| Saves |
10x |
Top signal - content worth returning to. Users who save = 130% higher chance of following. Only ~3% of posts reach save-worthy status. |
| Shares to feed |
8x |
Public endorsement, strong distribution signal |
| Expert comments |
7-9x |
Comments from verified domain experts trigger broader reach |
| Shares via DM |
6x |
Private sharing still heavily valued |
| Comments 15+ words |
2.5x |
Quality engagement, 2x impact vs shorter comments |
| Skill endorsements |
+43% |
Relevant skill endorsements boost content distribution |
Tier 2: High Impact
| Signal |
Weight |
Notes |
| Profile-content match |
+35-40% |
360Brew validation - profile must prove expertise on post topic |
| Dwell time >30s |
+25% |
Reading/watching content signals quality |
| Comments (any) |
1x |
Base engagement unit - 15x more reach than likes, 5x more than reshares |
| First-hour velocity |
+20-30% |
15+ engagements in first hour unlocks broader distribution |
Tier 3: Moderate Impact
| Signal |
Weight |
Notes |
| Profile views from post |
+10-15% |
Interest signal, potential follower conversion |
| Click "see more" |
+5-10% |
Hook worked, engagement signal |
| Reactions (all types) |
0.2x |
5x less valuable than comments |
| Connection relevance |
Variable |
New connections get priority visibility for ~1 week |
Negative Signals (Penalties)
| Signal |
Penalty |
Notes |
| 5+ hashtags |
-68% |
Spam signal, triggers AI classifier |
| AI-generated comments |
-30% reach, -55% engagement |
Detected and penalized - use human comments only |
| Off-topic for profile |
-40-60% |
360Brew failure - profile doesn't validate expertise |
| External link in body |
-25-40% |
Platform retention focus - use first comment instead |
| Engagement bait phrases |
-30-50% |
"Comment YES if...", "Tag someone who...", "Type 1 for..." |
| Multiple posts <3 hours |
-25% |
Spam-like behavior |
| Posting gap >5 days |
-15-25% |
Consistency break, algorithm loses trust |
| Posts under 1,000 chars |
-25% |
Too short for meaningful dwell time |
| Posts over 2,500 chars |
-32% |
Diminishing returns, reader fatigue |
| Promotional carousels |
-60-70% |
Algorithm penalizes selling vs. educating |
| Link preview cards |
-30-40% |
Always remove preview if including links |
| Generic connection requests |
Variable |
Low acceptance rate hurts profile score |
Engagement Velocity Targets
| Time |
Target |
Warning Zone |
Action if Warning |
| 5 min |
2-3 |
0 |
Check if posted at wrong time |
| 15 min |
5-8 |
<3 |
Engage in comments to spark activity |
| 30 min |
10-15 |
<5 |
Consider if hook is working |
| 60 min |
15-25 |
<10 |
Post may not reach Stage 3 distribution |
| 90 min |
25-40 |
<15 |
Limited viral potential |
Critical threshold: 15+ engagements in first hour = unlocks 2nd/3rd degree distribution.
Content Format Multipliers (2026)
| Format |
Reach Multiplier |
Engagement Rate |
Best For |
| PDF/Carousel |
1.6x reach |
24.42% engagement |
Frameworks, guides, step-by-step. 12 slides optimal, 25-50 words/slide |
| Multi-image |
1.3x reach |
6.60% engagement |
Before/after, comparisons, processes. Best for 5K-10K follower accounts |
| Polls |
1.64x reach (declining) |
1.5-2% |
Audience research only. Declining effectiveness in 2026 |
| Video (90s) |
1.4x reach |
Variable |
Personal connection. Always add captions (85% watch muted) |
| Text-only |
1.17x reach |
3-5% |
Thought leadership, stories, opinions. Generates best comment quality |
| Link posts |
-25-40% |
<1% |
Avoid if possible. Use first comment for links |
Optimal Ranges
| Element |
Optimal |
Warning |
| Post length |
1,200-1,800 chars |
<1,000 (-25%) or >2,500 (-32%) |
| Hook length |
<140 chars |
>140 truncated on mobile "see more" |
| Hashtags |
3-4 |
5+ triggers -68% penalty |
| Video length |
90 seconds |
<30s low dwell, >3min high drop-off |
| Posting frequency |
3-5x/week |
<2x loses consistency, >2x/day can fatigue |
| Carousel slides |
12 slides |
<8 too short, >15 completion drops |
| Caption (carousel) |
<500 chars |
Focus attention on slides |
| About section |
2,600 chars |
Use all available space, front-load keywords |
| Headline |
220 chars |
Include target audience + outcome |
Posting Time Windows (CET/European Audience)
| Day |
Peak Time |
Notes |
| Tuesday |
8-9 AM, 10-11 AM |
Best overall day |
| Wednesday |
8 AM, 12 PM |
Second best |
| Thursday |
9 AM-1 PM |
Extended peak window, highest engagement day |
| Friday |
Before 3 PM |
Drops sharply after 3 PM |
| Monday |
7-9 AM |
Good for weekly kickoff content |
| Weekend |
Avoid |
-50%+ engagement vs weekdays |
For global audiences: Post 8-11 AM your local time to catch multiple zones.
Industry variations:
- B2B Professional Services: 7-9 AM, 12-1 PM, 5-6 PM
- Healthcare/Education: 10 AM-2 PM concentrated
- Financial Services: Wed-Thu 10 AM-12 PM
Four-Stage Distribution Model
| Stage |
Timing |
What Happens |
Your Action |
| 1. Quality Classifier |
0-30s |
AI spam/quality check + 360Brew profile validation |
Ensure profile matches post topic |
| 2. Initial Test |
0-90min |
6-10% of connections see post |
Stay active, respond to all comments |
| 3. Extended Distribution |
1-24h |
2nd/3rd degree if velocity good |
Continue engagement, add value in comments |
| 4. Long-tail |
24-72h+ |
Evergreen circulation, search/recommendations |
Let compound effects work |
Stage 2 threshold: 15+ engagements in first hour = unlock Stage 3.
360Brew Profile Validation (January 2026)
The algorithm validates your profile BEFORE distributing content.
| Validation Criteria |
What It Checks |
Fix If Failing |
| About Section |
Specific expertise claims, domain terminology |
Rewrite with concrete expertise statements |
| Experience Section |
Impact statements with metrics |
Add quantified achievements |
| Content History |
Previous posts on this topic, anecdotal evidence |
Build topic consistency over 90+ days |
| Network Quality |
Connected to professionals in your field |
Connect with relevant domain experts |
| Engagement Patterns |
Do you comment on posts in your expertise area? |
Daily: 3-5 thoughtful comments in your domain |
Profile-content mismatch = -40-60% reach before anyone sees your post.
Quick Decision Rules
| Situation |
Decision |
| Linking? |
First comment, not body |
| Multiple ideas? |
Split into separate posts |
| Off your usual topic? |
Update profile first, or skip the post |
| Haven't posted in 5+ days? |
Post simple text-only first to rebuild momentum |
| Using a poll? |
Add substantial caption (300+ chars) |
| Tagging people? |
Max 5, must be genuinely relevant |
| Including hashtags? |
3-4 max, specific > generic |
| Video or text? |
Text for thought leadership, video for personal connection |
| Carousel or text? |
Carousel for frameworks/guides, text for stories/opinions |
| Comment or like first? |
Always comment first (higher algorithmic value) |
| New connection posted? |
Comment within first week (algorithm priority window) |
| Target |
Why |
How Often |
| Your posts (self-comment) |
Spark discussion, add resources |
Wait 10 min, then 2-4 over 90 min |
| Whale posts (100K+ followers) |
Visibility exposure |
2-3 early comments daily |
| New connections |
Algorithm priority window |
Within first week of connecting |
| Inner circle (5-10 peers) |
Mutual support network |
Daily genuine engagement |
| Ideal customers |
Warm outreach pipeline |
Find in relevant comment sections |
Comment formula (CEA):
- Compliment - Specific point you appreciated
- Expand - Your insight or related experience
- Ask - Question to continue dialogue
Minimum quality: 15+ words, adds genuine perspective.
Red Flags to Avoid
- Engagement pods (actively detected, shadow-ban risk)
- Pitch-slapping in DMs
- Posting same content as company page
- Random topics outside demonstrated expertise
- "Great post!" style generic comments
- Excessive self-promotion (>20% of content)
- Tagging unrelated people for reach
- Using AI-generated comments (55% engagement penalty)
Last updated: January 2026
Sources: Research synthesis from Richard van der Blom (Algorithm Research 2025), Lara Acosta (SLAY Framework), 360Brew algorithm analysis, LinkedIn Engineering Blog, Buffer (2M+ post analysis), Sprout Social (2.5B engagements), Justin Welsh, Jasmin Alic, Sahil Bloom case studies