docs(linkedin-studio): Voyage remediation setup — brief + research + plan (Phase 0-3)
Audit-remediation Voyage project authored end-to-end this session: - brief.md (reviewer PROCEED; validator pass) — full Phase 0-3 scope, phased, with success criteria refined by research - research/01-03 — high-effort external swarm + Gemini (Topic 1); reconciled the external bar and corrected several audit feature-premises (no publishable model name/date; saves UI-visible not API-pullable; auto-publish possible-not-built; 9:16 not mandatory; newsletter notifications deduplicated not triple; CLI crash = missing npm install, depth-bug latent) - plan.md (21 steps, 7 sessions, 5 waves; validator pass; A- 88/100) — plan-critic REVISE (3 blockers + majors) addressed; scope-guardian ALIGNED; gemini Pass-2 folded in 2 blind spots (git-history decision; lint stat-grep sequencing) Execution is future sessions (one wave each) via /trekexecute, /trekreview as the release gate. Audit report stays local until the article ships. Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
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---
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type: trekresearch-brief
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created: 2026-05-29
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question: "For LinkedIn in 2026: hard short-form video requirements the algorithm rewards (aspect ratio, resolution, hook timing, captions); what triggers the templated-AI/engagement-bait down-rank; and newsletter-distribution mechanics (notification leverage, cadence, realistic cold-start numbers)?"
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confidence: 0.80
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dimensions: 5
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mcp_servers_used: [tavily]
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local_agents_used: []
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external_agents_used: [docs-researcher, community-researcher, contrarian-researcher]
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---
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# Coverage-Gap Feature Specs — Video · De-AI · Newsletter Distribution (2026)
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> Generated by trekresearch (standard external swarm: docs + community + contrarian)
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> on 2026-05-29. Topic 3 of 3 for the linkedin-studio remediation. Feeds the Phase-2
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> video gate, short-form de-AI gate, and newsletter-distribution surface.
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> **The de-AI signal is covered in depth in Topic 1 (D8); this brief carries the
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> video + newsletter specs and a short de-AI cross-reference.**
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## Research Question
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For LinkedIn in 2026: hard short-form video requirements the algorithm rewards (aspect
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ratio, resolution, hook timing, captions); what triggers the templated-AI / engagement-bait
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down-rank; and newsletter-distribution mechanics (notification leverage, cadence, realistic
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cold-start numbers)?
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## Executive Summary
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**Three of the audit's proposed coverage-gap features rest on wrong premises, and building
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them naively would bake new false claims into the plugin.** (1) A **hard 9:16 video gate is
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wrong** — LinkedIn's audience is desktop-heavy; 9:16 is mobile-only and **crops on desktop**;
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the broad-distribution picks are **4:5 / 1:1**, with 9:16 a mobile-only opt-in. The plugin's
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internal contradiction ("4:5 preferred" vs "deprioritized") resolves toward **"4:5 preferred."**
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The "3-second hook" is **imported TikTok folklore**, not a LinkedIn rule. The one video spec
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**safe to enforce is captions** (80–85% watch muted; +12% watch-time per LinkedIn; caption
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text is indexed) — but framed as best-practice, not "LinkedIn requires SRT." (2) **Native
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video reach is DOWN ~36% YoY** (per-video views, Socialinsider 1.3M); the "video is king
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2026" narrative is hype from a benchmark misread — so the video gate must be a **quality
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gate for users who choose video**, never copy that positions video as top-reach. (3) The
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newsletter **"triple-notification" framing is oversold** — LinkedIn's own FAQ says the three
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channels are **deduplicated** (one notification per event); the real benefit is
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"**bypasses organic feed ranking**," not three guaranteed touchpoints; and the **one-time
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launch invite** makes a sub-~1–2K-follower newsletter premature. **Key caveat:** aspect-ratio
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performance has **no rigorous comparative study** — encode as heuristic, never a hard gate;
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date every claim ("as of 2026-05"). (Confidence 0.80 — high on captions / video-decline /
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newsletter mechanics; medium on aspect-ratio + cold-start ranges.)
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## Dimensions
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### D1. Video upload specs (official, enforceable) — Confidence: high
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**External findings (LinkedIn Help, primary):**
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- Aspect ratio accepted **1:2.4–2.4:1**; resolution **256×144–4096×2304**; duration **min
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3s desktop / 2s mobile, max 15min desktop / 10min mobile**; file **75KB–5GB**; **10–60fps**;
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**192Kbps–30Mbps**; **MP4 the safe default**. [linkedin.com/help/linkedin/answer/a548372; .../a1311816]
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- **Official-source conflict:** the member troubleshooting page lists MOV/AVI as *supported*;
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the Pages spec says LinkedIn "no longer supports AVI, QuickTime, or MOV." **Resolution for
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a gate:** enforce MP4 as the safe default; **warn-only** (not block) on MOV/AVI.
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### D2. Aspect ratio — 9:16 is NOT a clean win — Confidence: medium (no rigorous data)
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**External findings:**
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- LinkedIn runs an official **full-screen vertical video experience** (video tab + carousel)
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that **vertical (≈9:16) fills uncropped**; landscape is letterboxed. BUT you **cannot
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directly post into** that surface — placement is algorithmic. [linkedin.com/help/linkedin/answer/a6290168]
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- The contrarian + spec-guide consensus: for the **main feed** on a **desktop-heavy
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professional audience**, **4:5 and 1:1** are the broad-distribution picks; **9:16 is
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delivered mobile-only and crops to 1:1 on desktop** — a real degradation. The only official
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numeric 9:16 target (720×1280 rec / 1080×1920 max) is scoped to **ads**, not organic.
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[aspectratiocalculator.com/linkedin-aspect-ratios/; LinkedIn recommendation post]
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- **No peer-reviewed or official study compares 4:5 vs 9:16 vs 1:1 engagement.** The
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"vertical takes more feed real estate → more engagement" claim is uncorroborated heuristic.
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**Resolution:** the plugin's contradiction resolves toward **"4:5 / 1:1 preferred for broad
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distribution; 9:16 mobile-only opt-in / for the video tab."** Fix the file that calls 4:5
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"deprioritized." **Do not build a hard 9:16 gate** — make aspect ratio guidance, not enforcement.
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### D3. Hook timing + captions — Confidence: high (captions) / low (3-sec hook)
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**External findings:**
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- The **"3-second hook" is cross-platform folklore** (TikTok/Reels), absent from
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LinkedIn-specific algorithm analyses; LinkedIn's only official "3 seconds" is the *minimum
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video length*. The real LinkedIn-native reason the opening matters is **muted autoplay**.
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[dataslayer.ai/blog/linkedin-algorithm-february-2026-whats-working-now; sproutsocial.com/insights/linkedin-video/]
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- **Captions are the one spec safe to enforce:** ~80–85% watch muted; LinkedIn's own data
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~**+12% watch-time** with captions; **caption text is indexed for search/discovery** and
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factored into distribution. Both **SRT upload and native auto-captions** are first-party
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(auto-captions in 10 languages, opt-in, reviewable). [opus.pro/blog/linkedin-video-caption-subtitle-best-practices; linkedin.com/help/linkedin/answer/a1327025; .../a552177]
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**Resolution:** enforce a **captions** quality gate (BLOCK is defensible at 80% muted),
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accept SRT OR auto-captions, label it "best-practice / algorithmic signal" (not "required").
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Replace any "3-second hook" rule with **"front-load value for muted autoplay."**
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### D4. De-AI / engagement-bait down-rank — Confidence: high (cross-ref Topic 1 D8)
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**External findings (see Topic 1 D8 for full sourcing):**
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- **Officially confirmed:** LinkedIn VP Laura Lorenzetti (2026-05-19) — active program
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suppressing generic AI posts/comments + automation + attention-bait video; mechanism is
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**reach-suppression (down to first-degree), not deletion**, via ML trained on human-
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annotated "original thinking vs lacking substance." Engagement-pod crackdown officially
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confirmed too (Sachdeva, 2026-02-16). [entrepreneur.com/business-news/linkedin-is-fighting-back-against-ai-slop-and-ai-comments]
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- **Engagement bait** ("Comment YES", "Like for Part 2") → post-level throttle; genuine
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open questions are **not** penalized. The line is *real answer* vs *reflexive token*.
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**Resolution:** **build the short-form de-AI gate** targeting the signals LinkedIn *named*
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(personal substance, original thinking, concrete specifics, genuine voice) — not an
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unverified SEO "tell-list." Add a soft engagement-bait check (block mechanical-response CTAs,
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allow genuine questions).
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### D5. Newsletter distribution mechanics — Confidence: high (mechanics) / medium (cold-start)
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**External findings:**
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- **Official, solid:** all members can create newsletters (**max 5, 2-week cooldown**); on
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first edition LinkedIn **auto-invites all connections/followers to subscribe** (and on each
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new follow thereafter); editions are **also posted to the feed** + resurface via engagement
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+ appear in interest/trending sections; **lowest-friction subscribe** (no typing — LinkedIn
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has the email). [linkedin.com/help/linkedin/answer/a517925; .../a522525; .../a517914]
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- **"Triple-notification" is OVERSOLD / contested:** LinkedIn's FAQ states the in-app / push /
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email channels are **deduplicated** — "if you receive an in-app or push notification, you
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should NOT expect to also receive an email for the same." So it is **one notification per
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event via the subscriber's preferred channel**, not three guaranteed touchpoints. Delivery
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failures are reported; one creator measured **~2–3% click vs 8–10% on their own email list.**
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The defensible benefit is **"bypasses organic feed ranking,"** not "triple notification."
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- **One-time launch invite → follower floor:** the mass "invite all followers" fires **once,
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at any size** — launching sub-~1–2K followers permanently spends the blast on a tiny base.
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Practitioner floor: **500+ min, 3,000+ ideal.** Defensible plugin gate: ~**1–2K floor**
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(aligns with the existing ~1K `/monetize`/`/outreach` unlock).
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- **Realistic cold-start (don't inflate):** true zero-audience start ≈ **0–100 subs months
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1–3**; viral "0→9K/7-days" and "0→10K" case studies **were NOT cold starts** (leveraged
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existing audiences / 12-month grinds). Cadence: **weekly common among top performers;
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biweekly a safe default for original analysis.**
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- **Honest downsides to disclose:** subscribers are **non-exportable** (platform lock-in — lose
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them all if LinkedIn kills the feature); LinkedIn **outranks your own site** for the same
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article (no canonical) — harmful if building an owned property; **no read/open/unsubscribe
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analytics**; per-subscriber reach **decays** as the list grows.
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**Resolution:** the newsletter-distribution surface must teach the **honest** version:
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notification-bypass-of-feed (with the dedup caveat), the one-time-launch-blast + follower
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floor, realistic cold-start floors, and the lock-in/no-canonical/no-analytics downsides — NOT
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the audit's "triple-notification leverage" framing.
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## External Knowledge
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### Best Practice (official)
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Enforceable/teachable from LinkedIn's own docs: video upload limits; captions (SRT + auto);
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the full-screen vertical experience exists but isn't directly postable; newsletter mechanics
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(5-max/2-week cooldown, auto-invite, feed resurfacing, dedup notifications). Everything about
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*reach magnitude* (video, aspect ratio, newsletter click rates) is practitioner-sourced.
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### Alternatives / contrarian
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The "video is king 2026" and "triple-notification leverage" narratives are **both refuted**
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— the first by a benchmark misread (views −36% YoY per video; +36% is the platform aggregate),
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the second by LinkedIn's own dedup FAQ. Documents/carousels lead video on engagement (~7% vs
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~6%). Build features on the corrected premises.
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### Known issues
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Aspect-ratio guidance has no rigorous data — heuristic only. Newsletter data is non-portable.
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The MOV/AVI support conflict is unresolved in LinkedIn's own docs. Date every claim.
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## Synthesis
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1. **"Close the coverage gaps" ≠ "build what the audit sketched."** The audit named the
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gaps correctly (no video enforcement, no de-AI gate, thin newsletter distribution) but
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sketched two of the fixes on hype: a 9:16 gate and "triple-notification leverage." The
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research says build a **captions/aspect-guidance** video gate (not 9:16-mandatory) and an
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**honest** newsletter surface (bypass-feed + caveats), not the sketched versions. This is
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the same disease the whole remediation treats — features must rest on verified premises.
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2. **The de-AI gate is the highest-confidence Phase-2 build** (D4 + Topic 1 D8): officially
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confirmed, named-executive, with a stated mechanism. It is also the **single most robustly
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triangulated 2026 down-rank signal** the audit flagged as unguarded on short-form. Prioritize it.
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3. **The newsletter follower-floor reconciles two findings cleanly:** the one-time launch
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blast + the existing ~1K `/monetize`/`/outreach` unlock → gate the newsletter behind a
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~1–2K floor framed as "wait until you can spend the launch blast well." Below it, the
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plugin should steer the user to short-form/document content to *build* the base.
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## Open Questions
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- **Newsletter email-delivery behavior** — genuinely contested (FAQ dedup vs third-party
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"always emailed"). *Carry as: state the dedup behavior from the FAQ; note delivery is not
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guaranteed; a one-edition live test would resolve it.* Not a blocker.
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- **Aspect-ratio engagement** — no rigorous data exists. *Carry as heuristic; never a hard gate.*
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- **Dedicated vertical video feed as a primary surface** — if LinkedIn promotes it, the 9:16
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calculus could flip. *Re-check before finalizing the video gate copy.*
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## Recommendation
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For Phase 2:
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1. **Video gate = quality gate, not reach-push.** Enforce MP4 + within-limits (warn on
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MOV/AVI); **enforce/strongly-recommend captions** (SRT or auto); make aspect ratio
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**guidance — 4:5 / 1:1 preferred, 9:16 mobile-only opt-in**; fix the "4:5 deprioritized"
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contradiction toward "4:5 preferred"; drop any "3-second hook" rule and any "video
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maximizes reach" copy. Add a one-line note that per-video reach is declining and
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documents out-engage video.
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2. **Build the short-form de-AI gate** (highest-confidence build) on LinkedIn's named signals
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(substance / original thinking / specifics / voice) + a soft engagement-bait check.
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3. **Newsletter-distribution surface = the honest version:** "bypasses organic feed ranking
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(one deduplicated notification per subscriber per edition)"; one-time launch-blast +
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**~1–2K follower floor**; realistic cold-start floors (0–100 subs months 1–3); disclose
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non-export/no-canonical/no-analytics/per-subscriber-decay. Steer sub-floor users to build
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the base first.
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## Sources
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| # | Source | Type | Quality | Used in |
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|---|--------|------|---------|---------|
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| 1 | [Video sharing troubleshooting (specs)](https://www.linkedin.com/help/linkedin/answer/a548372) | official | high | D1 |
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| 2 | [Video specs for Pages (MOV/AVI conflict)](https://www.linkedin.com/help/linkedin/answer/a1311816) | official | high | D1 |
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| 3 | [Full-screen vertical video](https://www.linkedin.com/help/linkedin/answer/a6290168) | official | high | D2 |
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| 4 | [Aspect Ratio Calculator — LinkedIn 2026](https://www.aspectratiocalculator.com/linkedin-aspect-ratios/) | community | medium | D2 |
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| 5 | [Add Closed Captions (SRT)](https://www.linkedin.com/help/linkedin/answer/a552177/add-closed-captions-to-videos-on-linkedin) | official | high | D3 |
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| 6 | [Auto captions for videos](https://www.linkedin.com/help/linkedin/answer/a1327025) | official | high | D3 |
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| 7 | [OpusClip — caption best practices (80% muted, +12%)](https://www.opus.pro/blog/linkedin-video-caption-subtitle-best-practices) | community | medium | D3 |
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| 8 | [Socialinsider 2026 benchmarks (video −36% YoY)](https://www.socialinsider.io/social-media-benchmarks/linkedin) | community | medium-high | D2, D5 |
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| 9 | [Omni Lab — video views down 36% YoY](https://www.omnilabconsulting.com/blog/linkedin-video-views-down-36-yoy) | community | medium | D2 |
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| 10 | [Entrepreneur — LinkedIn fights AI slop (Lorenzetti)](https://www.entrepreneur.com/business-news/linkedin-is-fighting-back-against-ai-slop-and-ai-comments) | official (reported) | high | D4 |
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| 11 | [Manage a newsletter (5-max, cooldown, auto-invite)](https://www.linkedin.com/help/linkedin/answer/a517925) | official | high | D5 |
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| 12 | [Newsletters overview (triple notification wording)](https://www.linkedin.com/help/linkedin/answer/a522525) | official | high | D5 |
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| 13 | [Newsletters FAQ (dedup; resurfacing)](https://www.linkedin.com/help/linkedin/answer/a517914) | official | high | D5 |
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| 14 | [The Lime One — follower floor for newsletter](https://thelime.one/blog/how-many-followers-do-you-need-for-linkedin-newsletter) | community | medium | D5 |
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| 15 | [The Science Marketer — newsletter pros/cons (lock-in, click rates)](https://thesciencemarketer.com/p/linkedin-newsletter-pros-cons) | community | medium | D5 |
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| 16 | [InfluenceFlow — newsletter cold-start ranges 2026](https://influenceflow.io/resources/linkedin-newsletter-strategy-complete-guide-to-building-an-engaged-subscriber-base-in-2026/) | community | low-medium | D5 |
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| 17 | [dataslayer — LinkedIn algorithm Feb 2026](https://www.dataslayer.ai/blog/linkedin-algorithm-february-2026-whats-working-now) | community | low-medium | D3 |
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