# LinkedIn Thought Leadership Glossary

Alphabetical glossary of specialized terminology used across the plugin. Each term includes a definition and cross-references to where it's used.

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## 3

### 360Brew
LinkedIn's 150-parameter foundation model that validates creator profiles before distributing content. Checks expertise alignment across About section, Experience, content history, network quality, and engagement patterns. Content from unvalidated profiles receives limited distribution.

**Used in:** `references/algorithm-signals-reference.md`, `skills/linkedin-thought-leadership/SKILL.md`, `agents/content-optimizer.md`

### 5x5x5 Pre-Posting Method
Engagement priming technique performed 15-20 minutes before posting: identify 5 people with overlapping audiences, find their recent posts (last 24h), write 5 thoughtful comments (15+ words each). Primes algorithm visibility and warms engagement signals.

**Used in:** `skills/linkedin-thought-leadership/SKILL.md`, `agents/engagement-coach.md`, `agents/network-builder.md`, `agents/comment-strategist.md`

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## A

### Algorithm Penalty
Negative signal triggers that reduce post reach. Known penalties: 5+ hashtags (-68%), external links in body (-25-40%), off-topic posts (-40-60%), engagement bait phrases (-30-50%).

**Used in:** `references/algorithm-signals-reference.md`, `references/linkedin-formats.md`

### Angle Rotation
Systematic application of 8 universal thought leadership angles across the same topic to create distinct post variations without repeating yourself. The 8 angles: Contrarian Take, Pattern Recognition, Uncomfortable Truth, Future Implication, Personal Lesson, Reframe, Practical Breakdown, Human Story.

**Used in:** `references/thought-leadership-angles.md`, `agents/content-planner.md`, `agents/trend-spotter.md`

### Authority Score
Composite metric measuring a creator's established expertise on a topic, derived from posting consistency, engagement quality, profile alignment (360Brew), and network validation. Higher authority unlocks broader distribution.

**Used in:** `commands/authority.md`, `references/algorithm-signals-reference.md`

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## C

### CEA Method (Comment Engagement Architecture)
Three-step comment quality framework: **C**ompliment (specific point appreciated) → **E**xpand (add your insight or experience) → **A**sk (question to continue dialogue). Minimum 15 words for algorithmic value.

**Used in:** `agents/comment-strategist.md`, `agents/engagement-coach.md`, `references/algorithm-signals-reference.md`

### Commodity Content
Generic, non-differentiated posts that repeat common advice without original perspective. Detected by the differentiation-checker agent using a 10-item red flag checklist; 3+ flags = commodity. Should be blocked or reworked before publishing.

**Used in:** `agents/differentiation-checker.md`

### Content DNA
Your unique combination of perspective, experience, voice, and topical focus that distinguishes your content from others in the same space. Built through consistent posting on core topics over 90+ days. Synthesized by performance-reporter as a personal formula.

**Used in:** `agents/voice-trainer.md`, `agents/differentiation-checker.md`, `agents/performance-reporter.md`

### Content Lifecycle
Seven-stage journey of repurposed content: Original Creation → First Repurposing → Angle Rotation → Format Variation → Series Expansion → Evergreen Circulation → Archive Review. Managed by the content-repurposer agent.

**Used in:** `agents/content-repurposer.md`

### Content Mix (70/20/10)
Optimal content type distribution: 70% Educational (teach, frameworks, how-to), 20% Inspirational (stories, lessons, failures), 10% Entertaining (hot takes, humor, observations). Enforced by content-planner agent.

**Used in:** `skills/linkedin-thought-leadership/SKILL.md`, `agents/content-planner.md`, `references/linkedin-growth-playbook-2025-2026.md`

### Content Pillars
3-5 core expertise areas that define your LinkedIn focus. Used for topic consistency validation, gap analysis in content planning, and 360Brew alignment checks. Example for AI content: News, Implementation, Strategy, Tools.

**Used in:** `agents/content-planner.md`, `references/ai-content-framework.md`, `skills/linkedin-thought-leadership/SKILL.md`

### CTA (Call-to-Action)
Specific, genuine engagement prompt at the end of a post. Must feel natural and offer optionality ("Which strategy has worked for your team?" > "What do you think?"). Creates invitation for the engagement that drives distribution.

**Used in:** `references/engagement-frameworks.md`, `skills/linkedin-thought-leadership/SKILL.md`, `agents/content-optimizer.md`

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## D

### Dwell Time
Duration a user spends viewing content with ≥50% visible on screen. Posts with 30+ seconds dwell time signal quality to the algorithm (+25% boost). Save behavior strongly correlates with high dwell time.

**Used in:** `references/linkedin-growth-playbook-2025-2026.md`, `references/linkedin-formats.md`

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## E

### Engagement Bait
Prohibited engagement tactics ("Comment YES if...", "Tag someone who...", "Type 1 for...") that trigger -30-50% reach penalty. The algorithm actively detects and penalizes these patterns.

**Used in:** `references/algorithm-signals-reference.md`

### Engagement Pod
Coordinated group of accounts that artificially boost each other's posts. Actively detected by LinkedIn; risks shadow-ban and engagement penalty. Warned against in multiple plugin references.

**Used in:** `references/linkedin-growth-playbook-2025-2026.md`, `commands/collab.md`, `agents/network-builder.md`

### Engagement Quality Hierarchy
Weighted valuation system for different engagement types: Saves (10x) > Shares (8x) > Expert Comments (7-9x) > 15+ word comments (2.5x) > Short comments (1x) > Reactions (0.2x). Quality over quantity.

**Used in:** `references/algorithm-signals-reference.md`, `references/engagement-frameworks.md`

### Engagement Velocity
Speed of engagement accumulation in the first hour after posting. 15+ engagements in the first hour unlocks Stage 3 distribution. Monitored at 5/15/30/60/90-minute intervals.

**Used in:** `references/algorithm-signals-reference.md`, `assets/audience-insights/engagement-patterns.md`

### Evergreen Content
Posts maintaining relevance and engagement potential beyond the initial publication window. Identified through scoring (topical relevance, performance, refresh potential). Suitable for repurposing over 12+ months.

**Used in:** `agents/content-repurposer.md`, `references/articles-strategy-guide.md`

### Expertise Verification System
LinkedIn's mechanism for validating creator authority: professional history, posting consistency on specific topics, relevant engagement, domain vocabulary usage, and performance track record. Feeds into 360Brew.

**Used in:** `references/linkedin-growth-playbook-2025-2026.md`

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## F

### First-Hour Engagement
Critical window (0-60 minutes post-publication) determining ~70% of a post's total reach. Requires: 5x5x5 pre-posting engagement, immediate response to first comments (within 5 minutes), and continued engagement through 90 minutes.

**Used in:** `skills/linkedin-thought-leadership/SKILL.md`, `references/linkedin-formats.md`, `agents/engagement-coach.md`

### Four-Stage Distribution Model
Sequential post distribution: Stage 1 (0-30s: Quality classifier + 360Brew validation) → Stage 2 (0-90min: Test to 6-10% of connections) → Stage 3 (1-24h: Extended if velocity good) → Stage 4 (24-72h+: Evergreen circulation).

**Used in:** `references/algorithm-signals-reference.md`

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## G

### Golden Hour
The critical 60-90 minute window post-publication where LinkedIn tests content with a small connection sample. Strong performance (1,000+ impressions) unlocks broader distribution; weak performance (<500) limits reach.

**Used in:** `references/linkedin-growth-playbook-2025-2026.md`

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## H

### Hook
Opening 110-140 characters of a post that must work standalone on mobile (before "see more" cutoff) and create a curiosity gap. 10 high-performing types: Surprising Stat, Bold Statement, Provocative Question, Contrarian, Personal Confession, Pattern Observation, Time Frame Urgency, Lesson Learned, Scenario, Direct Address.

**Used in:** `references/engagement-frameworks.md`, `skills/linkedin-thought-leadership/SKILL.md`, `agents/content-optimizer.md`

### Hook Psychology
Neuroscience-backed engagement: Pattern interrupts trigger prediction error → dopamine release → information gap demanding cognitive closure. Pattern interrupts are 2.7x more common in viral posts. Optimal first line: ~49 characters.

**Used in:** `references/engagement-frameworks.md`

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## I

### Interest Graph
LinkedIn's feature (2025-2026) measuring user interest in specific topics independent of their connection network. Platform increased outside-network content distribution by 40% when grounded in professional knowledge.

**Used in:** `references/linkedin-growth-playbook-2025-2026.md`

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## L

### Link Penalty
Algorithm penalty of -25-40% reach for external links placed in the post body. LinkedIn prioritizes keeping users on-platform. Workaround: place links in the first comment instead, or use native document format.

**Used in:** `references/algorithm-signals-reference.md`, `references/first-comment-strategy.md`

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## N

### Network Tiers
Three-level connection classification: **Tier 1** (Inner Circle, 5-10 people, daily engagement), **Tier 2** (Active Network, 2-3x weekly engagement), **Tier 3** (Extended Network, monthly engagement). Used for strategic resource allocation.

**Used in:** `agents/network-builder.md`, `commands/collab.md`

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## O

### Originality Score
0-100 metric across 5 dimensions: perspective uniqueness, experience authenticity, angle freshness, data/evidence originality, voice distinctiveness. Score 51+ = passable, 66+ = differentiated, 81+ = exceptional. Gate threshold: 51/100 minimum.

**Used in:** `agents/differentiation-checker.md`

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## P

### Pattern Interrupt
Unexpected statement or data point that breaks normal thought patterns and captures attention. 2.7x more common in viral posts. Examples: contrarian claims, surprising statistics, provocative questions.

**Used in:** `references/engagement-frameworks.md`

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## R

### Repurposing Priority Score
0-100 metric evaluating content readiness for format conversion: Performance (40pts), Quality (30pts), Format Fit (30pts). Used to prioritize which content gets repurposed first.

**Used in:** `agents/content-repurposer.md`

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## S

### Save Signal
Highest-value algorithmic signal (10x weight). Saves indicate content worth returning to; posts with saves get 130% higher follow probability. Only ~3% of posts reach save-worthy status.

**Used in:** `references/algorithm-signals-reference.md`, `references/linkedin-growth-playbook-2025-2026.md`

### Shadow Ban
Penalty state where posts reach only immediate connections without algorithmic amplification. Triggered by engagement pods, artificial boosting, or consistent guideline violations. Not officially announced by the platform.

**Used in:** `references/linkedin-growth-playbook-2025-2026.md`

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## T

### Thought Leadership Value Test
Three-question quality gate before publishing: (1) Does this help someone make a better decision? (2) Does this change how someone thinks? (3) Would I find this valuable if someone else wrote it? Must pass all three.

**Used in:** `references/thought-leadership-angles.md`, `agents/differentiation-checker.md`, `agents/trend-spotter.md`

### Topical Consistency
Posting about consistent topics within demonstrated expertise areas. The algorithm learns your domain expertise over 30+ days. Gaps >5 days trigger -15-25% reach penalty on return.

**Used in:** `references/linkedin-growth-playbook-2025-2026.md`, `references/algorithm-signals-reference.md`

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## V

### Voice Drift
Deviation from established personal voice profile. Measured across 6 dimensions: sentence structure, word choice, hooks, storytelling, tone, formatting. Thresholds: 70%+ = AUTHENTIC, 40-69% = CAUTION, <40% = ALERT/REWRITE.

**Used in:** `agents/voice-trainer.md`

### Voice Profile
Quantified signature of a creator's unique writing style across sentence structure, vocabulary, hook preferences, storytelling approach, tone, and formatting. Updated quarterly. Identity-level traits (avoided words, tone, humor) are protected from automatic modification.

**Used in:** `agents/voice-trainer.md`, `assets/voice-samples/authentic-voice-samples.md`
