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ZapierCase study

AI-Powered Content Repurposing & Social Media Automation

Automated content pipeline that transforms audio/video files into blog posts and multi-platform social media content with sentiment analysis, reducing content production time by 70% while maintaining brand safety.

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AI-Powered Content Repurposing & Social Media Automation workflow

Context

Marketing teams manually transcribed audio and video content, wrote blog posts and social media captions for multiple platforms, created accompanying images, and checked sentiment before posting—a process that took hours per piece of content.

Approach

Built Zapier workflow that monitors Google Drive for new media uploads, uses OpenAI to transcribe audio/video, analyzes content for key insights, generates blog posts and accompanying images, performs sentiment analysis to ensure positive messaging, and conditionally publishes to LinkedIn, Instagram, and Facebook Pages only when sentiment is positive.

Architecture

  1. Google Drive trigger
  2. OpenAI transcription
  3. Content analysis
  4. Image generation
  5. Blog post creation
  6. Sentiment analysis
  7. Path router (positive/negative)
  8. Multi-platform posting (LinkedIn + Instagram + Facebook)
Negative path
  1. Stop workflow

Results

70%Content creation time saved
4+ platformsContent pieces per upload
100%Brand safety rate