Analyze Viral Content → Extract Insights → Generate Reports

advanced2 hoursPublished Apr 11, 2026
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Study viral AI-generated videos to identify success patterns, extract key performance metrics, and create actionable content strategy reports.

Workflow Steps

1

Brandwatch

Collect viral video data

Set up social listening queries to track viral videos in your niche using hashtags, keywords, and engagement thresholds (1M+ views). Export data including view counts, engagement rates, posting times, and content descriptions.

2

Make.com

Extract video metadata

Create an automation that processes the Brandwatch data to extract video URLs, thumbnails, captions, and timestamps. Use Make's HTTP modules to gather additional metadata from platform APIs.

3

ChatGPT

Analyze content patterns

Feed the extracted data to ChatGPT with the prompt: 'Analyze these viral videos and identify the top 5 content patterns, optimal posting times, and most effective visual elements. Provide specific recommendations for replication.'

4

Notion

Create insights database

Build a Notion database to store all viral video insights, categorized by content type, engagement metrics, and success factors. Include template fields for video ideas based on proven patterns.

5

Zapier

Generate weekly reports

Set up a weekly Zap that compiles new insights from your Notion database into a formatted report. Automatically email the report to your content team with trending patterns and recommended content ideas.

Workflow Flow

Step 1

Brandwatch

Collect viral video data

Step 2

Make.com

Extract video metadata

Step 3

ChatGPT

Analyze content patterns

Step 4

Notion

Create insights database

Step 5

Zapier

Generate weekly reports

Why This Works

Systematically captures and analyzes what makes content go viral, turning subjective creative decisions into data-driven content strategies.

Best For

Marketing teams and content strategists who want to reverse-engineer viral content success for their own campaigns

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