Publishing + Distribution

Multi-Platform Publishing System

Automated content distribution across YouTube, Instagram, TikTok, LinkedIn, and Facebook β€” with per-platform optimization, compliance scoring, and metadata generation.

Project visual
The Problem

Each platform speaks a different language.

Publishing the same content across five platforms isn't a copy-paste operation. Each platform has different format requirements, algorithm preferences, character limits, hashtag strategies, and compliance rules. Treating them identically means performing poorly on all of them.

The System

One piece of content. Five optimized outputs.

A publishing orchestration system that takes a single content asset and adapts, optimizes, and distributes it to each platform independently β€” with platform-specific metadata, formatting, and compliance checks applied automatically.

πŸ“„ Content β†’ πŸ€– Per-Platform Adapt β†’ βœ… Compliance Check β†’ πŸ“± Publish Γ— 5
1

Content intake and parsing

Video, image, or text content ingested. Core metadata extracted β€” topic, format, language, target audience. Content routed to per-platform adaptation branches.

2

Per-platform metadata generation

AI generates titles, descriptions, hashtags, and tags optimized for each platform's algorithm. Character limits, keyword strategies, and formatting rules applied per target.

3

Format adaptation

Video reformatted per platform spec β€” 16:9 for YouTube, 9:16 for TikTok/Reels/Shorts, 1:1 for feed posts. Thumbnails resized and adapted. Captions generated and embedded where required.

4

Compliance scoring

Content scored against each platform's community guidelines and content policies before publishing. Flagged items routed to review queue. Clean items proceed to scheduled publishing.

5

Scheduled publishing and monitoring

Content published via platform APIs at optimal posting times. Publishing status tracked in Airtable. Failures trigger alerts and retry logic automatically.

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Tools Used

Make.com, OpenAI, YouTube API, Meta Graph API, TikTok API, LinkedIn API, Airtable

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Outcome

Publishing time per content piece reduced from 2–3 hours (manual, per platform) to under 20 minutes of oversight. Consistent output quality across all five channels.

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Integration

Directly integrated with the AI Video Engine β€” content produced by one pipeline flows automatically into the publishing system with no manual handoff.