ktg-plugin-marketplace/plugins/linkedin-thought-leadership/references/algorithm-signals-reference.md
Kjell Tore Guttormsen 39f8b275a6 feat(linkedin-thought-leadership): v1.0.0 — initial open-source import
Build LinkedIn thought leadership with algorithmic understanding,
strategic consistency, and AI-assisted content creation. Updated for
the January 2026 360Brew algorithm change.

16 agents, 25 commands, 6 skills, 9 hooks, 24 reference docs.

Personal data sanitized: voice samples generalized to template,
high-engagement posts cleared, region-specific references replaced
with placeholders.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-04-07 22:09:03 +02:00

8.9 KiB

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)

Comment Strategy Quick Reference

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):

  1. Compliment - Specific point you appreciated
  2. Expand - Your insight or related experience
  3. 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