This n8n workflow streamlines the process of competitor ad analysis and creative asset generation for Facebook advertising campaigns. It begins with scraping Facebook’s Ad Library to gather recent active ads, filtering out video-only ads to focus on image-based content. The workflow then organizes these ads into a structured Google Drive folder hierarchy for easy management.

Next, it uses OpenAI’s vision model to analyze each ad image comprehensively, identifying design elements. Based on this analysis, it spins multiple prompt variations for AI-driven image edits, transforming the ad visuals to different styles or themes while maintaining layout consistency. These prompts are processed through OpenAI’s image generation API to create new ad variations.

Generated images are uploaded to Google Drive and logged into a Google Sheet, enabling marketers to review and select the best assets for their campaigns. This automation allows advertisers to quickly gather competitive insights, generate diverse ad creatives with minimal manual effort, and efficiently organize and track their digital assets.

This workflow is ideal for digital marketing agencies, social media managers, or anyone looking to enhance ad copy and creative testing cycles through automation and AI-powered content creation.

Node Count	>20 Nodes
Nodes Used	@n8n/n8n-nodes-langchain.openAi, convertToFile, filter, googleDrive, googleSheets, httpRequest, limit, manualTrigger, set, splitInBatches, splitOut, stickyNote, wait