fix(linkedin-studio): propagate reconciled algorithm numbers, cite-not-restate
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
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@ -41,7 +41,7 @@ Complete reference guide for growing from hundreds to thousands of engaged follo
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### Engagement Quality Hierarchy
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**Comment Value:**
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- Comments: **15x more reach** than likes
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- Comments rank above likes in the engagement order (saves > shares > quality comments > reactions; see `references/algorithm-signals-reference.md`)
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- Comments: **5x more effective** than reshares
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- Comments over 15 words: **2x impact** vs shorter ones
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- Comments from relevant professionals: Significantly higher weight than generic responses
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@ -91,7 +91,7 @@ LinkedIn doesn't formally boost new creators, but multiple mechanisms create a d
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**Why New Creators Get Natural Advantages:**
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1. **Clean Algorithmic Slate:** No negative history, no low-performing posts dragging down distribution. The algorithm evaluates new creators purely on current content quality.
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2. **Interest-Based Distribution via 360Brew:** The 2025-2026 interest graph actively seeks diverse voices for each topic. New creators with clear expertise signals get surfaced to relevant audiences immediately.
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2. **Interest-Based Distribution via topic-relevance:** The 2025-2026 interest graph actively seeks diverse voices for each topic. New creators with clear expertise signals get surfaced to relevant audiences immediately.
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3. **Feed Diversification:** LinkedIn explicitly increased content from outside users' networks by 40%. New creators benefit disproportionately — they ARE the fresh voices the algorithm seeks.
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4. **Faster Relative Growth Rates:** Buffer's 2025 data shows accounts with 1K-5K followers grow 40%+ YoY faster than large accounts (100K+). Small accounts compound faster when they post consistently.
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5. **No Audience Fatigue:** Established creators face diminishing returns with existing followers. New creators present novel perspectives to every viewer.
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@ -102,7 +102,7 @@ The advantage isn't a formal "boost" with a cliff — it's a window where consis
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**Days 1-30: Signal Establishment**
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- Algorithm is mapping your expertise areas from profile + content
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- Every post teaches 360Brew what topics you cover
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- Every post teaches topic-relevance what topics you cover
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- Format experiments have low cost (small audience, no expectations)
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- Priority: Post 4-5x/week to give the algorithm enough data points
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- Focus: Topical consistency within your 5 expertise areas
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