Create AI-Generated UGC Ads in 3 Steps

TechHow To Create AI UGC Ads (Full Tutorial)

Key Takeaways

1UGC ads work because they appear authentic and natural, avoiding the polished look of traditional advertising—AI can now replicate this at scale
2Create AI influencers by generating images with structured prompts specifying gender, age, ethnicity, style, camera placement, coverage, and aspect ratio
3Place products by uploading high-resolution images and using AI to combine influencer photos with product images for realistic product placement
4Generate video ads using Seedance 2.0 by providing detailed prompts with accent, vibe, camera motion, eye direction, and dialogue-action sequences
5The entire workflow—from concept to final video—can be completed in minutes at a fraction of traditional production costs
6Proper prompting frameworks (JSON-style structured prompts) significantly improve AI output quality and consistency across multiple generations

Chapters

1. Why AI UGC Ads Matter

UGC ads stand out in crowded feeds because they look natural and unpolished, unlike high-production content. Brands pay $100-$500 per video, and AI can now replicate this authentic look in minutes without human filming.

2. Step 1: Create Your AI Influencer

Use image generation models (GPT Image 2 or Nano Banana Pro) with a structured JSON-style prompt. Define gender, age, ethnicity, background, style, camera placement, body coverage, aspect ratio (9:16 for social), and additional details to generate realistic influencer images.

3. Step 2: Place Your Product

Upload high-resolution, well-lit product images alongside influencer photos. Use AI to combine them by requesting the influencer hold or showcase the product. Generate multiple variations for different angles and scenarios.

4. Step 3: Create the Video Ad

Use Seedance 2.0 to generate video from the influencer-product image. Prompt with accent, vibe/mood, camera motion, eye direction, and a structured list of dialogues paired with specific actions. The model executes all parameters precisely.

5. Prompting Best Practices

JSON-style structured prompting yields better results than conversational prompts. Organize parameters as key-value pairs, and for dialogue-action sequences, list each line with its corresponding action to guide the AI's video generation.

6. Advanced Techniques

Generate multiple B-roll shots while the avatar speaks and stitch them together for dynamic, edited UGC content. Iterate on prompts to refine outputs and create multiple starting points for different video variations.

Glossary

UGC (User-Generated Content): Natural-looking, low-production videos created to appear authentic, as if made by everyday users rather than professional productions. Often used by brands for advertising.
JSON Prompting: A structured prompting technique using key-value pairs (parameter: value format) to provide more organized and detailed instructions to AI models, resulting in higher-quality outputs.
Seedance 2.0: A state-of-the-art AI video generation model capable of creating videos from images and detailed text prompts with precise control over dialogue, actions, and camera movements.
AI Avatar: A photorealistic digital representation of a person created by AI, capable of performing actions, speaking with natural voiceovers, and appearing authentic in video content.
Aspect Ratio: The proportional relationship between width and height of an image or video; 9:16 is vertical format commonly used for Instagram Reels and TikTok.
B-Roll: Supplementary video footage used alongside main footage, typically showing additional angles, products, or scenes to enhance the primary narrative.
Prompt Framework: A structured template for writing instructions to AI models that specifies parameters and format to consistently achieve desired outputs.

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