Name: LinkedIn native video (90s) - founder thought-leadership
Price: 999 INR
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Master prompt

LinkedIn native video (90s) - founder thought-leadership

90-second LinkedIn native video script for a founder talking-head + B-roll, designed for the policy-aware LinkedIn audience.

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LinkedIn videoCA90s1:1Founder voiceThought leadership

Write a 90-second LinkedIn native video script in the founder-voice. LinkedIn native video performs best as 1:1 square aspect (preferred over 16:9 for LinkedIn). Format: founder talking-head + B-roll cutaways every 15-20 seconds.

Source:
- Thesis: [THESIS]
- Data: [SUPPORTING_DATA]
- Recommendation: [POLICY_RECOMMENDATION]
- Founder: [FOUNDER_FIRST_NAME]
- Firm: [FIRM_NAME] - RCIC [RCIC_NUMBER]

Output as 6 beats x 15 seconds. Each beat: TIME, VISUAL (talking-head or B-roll), ON-SCREEN SUBTITLE (max 12 words - LinkedIn plays mute by default), VOICEOVER (max 35 words).

Hook discipline:
- B1 must contain [FOUNDER_FIRST_NAME] on camera looking directly at the lens, no logo card first.
- VO opens with the thesis flag - "Here is the unpopular thing I see in the data this quarter."
- Subtitle must hook within 3 seconds since LinkedIn autoplays muted.

Beat sheet:

B1 (0-15s) HOOK
  VISUAL: [FOUNDER_FIRST_NAME] on camera, close framing, soft office light. Direct address.
  SUBTITLE: compress [THESIS] to 10-12 words.
  VO: "Here is the unpopular thing I see in IRCC's quarterly data. [THESIS]. The numbers are below."

B2 (15-30s) DATA POINT 1
  VISUAL: B-roll cutaway - simple animated chart showing the first data point from [SUPPORTING_DATA].
  SUBTITLE: state the data point as a single number + label.
  VO: walk through the first data point. Cite the IRCC publication URL by name (e.g. "from IRCC's October 2025 quarterly report").

B3 (30-45s) DATA POINT 2
  VISUAL: B-roll cutaway - second animated chart.
  SUBTITLE: second number + label.
  VO: walk through the second data point. Contrast it with the first. "While X went up, Y stayed flat - here is why that matters."

B4 (45-60s) THE REFRAME
  VISUAL: back to [FOUNDER_FIRST_NAME] on camera, medium framing.
  SUBTITLE: "What this means for Indian applicants".
  VO: connect the data points to a specific Indian-applicant implication. Name the state / city / industry profile that benefits or hurts. Be specific.

B5 (60-75s) THE RECOMMENDATION
  VISUAL: [FOUNDER_FIRST_NAME] on camera, leaning in slightly.
  SUBTITLE: compress [POLICY_RECOMMENDATION] to 12 words.
  VO: state [POLICY_RECOMMENDATION] in plain language. Name the timing window. Name the action.

B6 (75-90s) CTA + CREDIBILITY
  VISUAL: [FOUNDER_FIRST_NAME] on camera, lower-third has firm card + RCIC#.
  SUBTITLE: "[FIRM_NAME] - RCIC [RCIC_NUMBER]".
  VO: "If your portfolio is stuck on the old playbook, we do quarterly strategy reviews for immigration advisors. DM me. [FOUNDER_FIRST_NAME] from [FIRM_NAME]."

CICC section 44-46 + LinkedIn-specific:
- Cite IRCC publication URL for every data point.
- No "we will get your clients in" / "guaranteed". Phrase as "the data suggests a strategic pivot".
- LinkedIn audience over-indexes on immigration journalists, policy researchers, other RCICs - any inaccuracy will be called out. Verify data points before recording.
- "[FIRM_NAME] is an independent Canadian immigration consultancy. Data shown is from IRCC public publications."

Voice constraints (LinkedIn):
- Authoritative but humble - "the data shows" not "I figured out".
- Banned: "passion", "synergy", "leverage", "exciting", "delighted", "thrilled".
- Indian-English register fine.
- Founder voice (first-person singular) throughout - this is a personal post, not a firm post.

Output also include:
- LINKEDIN POST CAPTION (200-280 words): summarize the video's thesis in text form for the post body, include the 2-3 data points with IRCC URLs, end with a question to invite comments. 1 hashtag block (3-5 tags max - LinkedIn de-ranks heavy hashtagging).
- COVER FRAME: [FOUNDER_FIRST_NAME] on camera with subtitle "[THESIS]" compressed.
- ASPECT: 1:1 (LinkedIn-optimal). Backup 9:16 for cross-post.
- CAPTIONS: burn-in captions are mandatory (LinkedIn autoplays muted). Use Submagic or LinkedIn's native captioning.

End with: "- DRAFT - for RCIC review. Verify every data point against the IRCC source URL before recording. If any [NEEDS_VERIFY] tags remain in the data, do NOT publish."

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