Use AI to automatically label your ad creatives for deeper insights.
AI LabelingComing Soon
Overview
AI Labeling uses computer vision and language models to automatically tag your ad creatives with visual and semantic attributes. Understand what makes your best-performing ads work — colors, objects, emotions, copy style, and more.
Key Features
Automatic Tagging: AI vision models analyze your creatives and assign labels automatically
Visual Attributes: Labels for colors, objects, people, scenes, text overlay, composition
Semantic Categories: Higher-level labels like "lifestyle", "product-focused", "UGC-style", "testimonial"
Performance Correlation: See which labels correlate with better performance metrics
Custom Labels: Add your own labels to supplement AI-generated ones
Multi-Provider: Labels generated by multiple AI models for comprehensive coverage
How It Works
When new creatives are detected from your connected ad platforms, Adverfly sends them to AI vision models for analysis. The resulting labels are stored alongside performance data, enabling you to filter and analyze creative performance by visual attributes.
Use Cases
Creative Strategy: Discover which visual themes drive the best ROAS
A/B Insights: Understand why certain creatives outperform others based on their visual elements
Brief Generation: Use performance-by-label data to create data-driven creative briefs
Trend Analysis: Track how effective visual styles change over time
Getting Started
Connect your ad platforms in Integrations
Open AI Labeling from the sidebar
Labels are generated automatically for your creatives
Use the Creatives app to filter and analyze by label