Most UGC ads flooding the internet right now isn’t real. It’s AI-generated. And businesses are crushing it with this strategy ; no influencers, no editors, no expensive production teams.
The crazy part? They’re pulling massive growth while everyone else is still trying to book content creators and negotiate rates. And today, I’m going to reveal the exact strategy they’re using.
Sound too good to be true? Stick with me. I tested all three AI models head-to-head, and the results will surprise you.
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Why UGC Ads Are Converting Like Crazy Right Now ?
Before we dive into the system, let’s talk about why UGC ads work so well.
Traditional ads feel like ads. They’re polished, scripted, and obviously trying to sell you something. Your brain spots them instantly and tunes them out.
UGC ads are different.
They look like real people sharing real opinions. Someone holding their phone, talking directly to the camera about a product they love. It feels authentic. Raw. Trustworthy.
And that authenticity is why they convert at much higher rates than traditional ads. People don’t feel like they’re being sold to , they feel like they’re getting advice from a friend.
The problem? Creating UGC ads the traditional way takes forever. You need to find creators, brief them, wait for footage, review it, request changes, and hope the final result actually works.
But what if AI could do all that for you in minutes?
The Ultimate UGC Ads System: How It Works
Here’s the system I built. It’s an automation workflow with three different paths:
- Veo 3.1 path – Uses Google’s Veo 3.1 model directly
- Nano Banana + Veo 3.1 path – Creates an AI person holding your product first, then animates it
- Sora 2 path – Uses OpenAI’s Sora 2 model
All three paths start the same way. You fill out a simple Google Sheet with:
- Your product photo
- Your ideal customer profile (ICP)
- Product features
- Video setting (like “a woman in her garden” or “a man in his car”)
Then you pick which AI model you want to use. Hit execute, and the automation does the rest.
The system creates the video, generates natural-sounding dialogue, and even updates your spreadsheet when it’s done. You can literally batch-create dozens of UGC ads while you sleep.
Setting Up Your Google Sheet (The Easy Part)
Let’s start with the foundation—your Google Sheet. This is where you’ll store all your product information.
Here’s what each column should contain:
- Number: A unique ID for each row (1, 2, 3, etc.)
- Product Photo URL: A link to your product image
- ICP: Who’s your ideal customer? (Example: “young adults wanting to stay fit”)
- Product Features: What makes it great? (Example: “delicious gummies, easy to remember daily, boosts workout energy”)
- Video Setting: Where’s the video taking place? (Example: “young man parked in his car about to enter the gym”)
- Model: Which AI model to use (Veo 3.1, Nano + Veo 3.1, or Sora 2)
- Status: Set to “ready” for videos you want to generate
- Finished File: Leave blank—the system fills this in automatically
The beauty of this setup? You can add as many rows as you want. Each row becomes a unique UGC ad. Different products, different angles, different messages.
Path 1: The Nano Banana + Veo 3.1 Combo
It creates the most realistic, authentic-looking UGC ads.
Here’s why it works so well:
Most AI video models struggle when you give them just a product photo. They’ll generate the video, but the product often looks weird or unrealistic in the final output.
Nano Banana solves this problem. It’s an AI image model that takes your product photo and creates a realistic image of a person holding or wearing that product.
Before diving into the section Don’t forget to check – Nano Banana 2025 Review: Why Google’s ‘Free’ AI Plan Isn’t Really Free
Then we take that new image and feed it into Veo 3.1 to create the video. Since the starting image already shows a real-looking person with the product, the video comes out much more natural.
Step 1: The Image Prompt Agent
When your workflow runs, it first hits an AI agent that creates a detailed image prompt. This agent reads your product info and video setting, then generates instructions for Nano Banana.
The prompt includes details like:
- Lighting and environment
- Camera angle and composition
- How the person should be positioned
- How they’re interacting with the product
The goal is hyperrealistic UGC photography. The image should look like someone actually took a selfie with your product.
Step 2: Generating the AI Image
Next, the workflow sends that prompt to Nano Banana through an API service called KeyAI. (KeyAI is like a hub that gives you access to tons of AI models in one place—super convenient.)
The request includes:
- Your image prompt
- Your product photo URL
- Aspect ratio (usually vertical, since most UGC is for TikTok or Instagram Reels)
Nano Banana processes this and creates a realistic image in about 15 seconds
Step 3: Analyzing the Image
Before we turn that image into a video, we do something smart—we analyze it.
Why? Because the next step involves creating a video prompt. And that prompt needs to be consistent with what’s actually in the image.
We use another AI agent (this time with vision capabilities) to describe what’s in the image:
- What’s the person wearing?
- What’s the environment?
- What does the product look like?
- How is the person positioned?
This description gets passed to the next step.
Step 4: The Video Prompt Agent
Now we create the actual video prompt. This AI agent has a bigger job—it needs to generate both:
- Instructions for the AI video model
- The dialogue the person will speak
The agent looks at:
- Your product name
- Your ICP
- Your product features
- Your video setting
- The image analysis from Step 3
Step 5: Creating the Video with Veo 3.1
Finally, we send everything to Veo 3.1:
- The video prompt
- The Nano Banana image (as the reference image)
- Technical specs (8 seconds, 9:16 aspect ratio)
Veo 3.1 processes this and generates your video in about 60-90 seconds. The system automatically checks in every 10 seconds to see if it’s done.
Step 6: Updating Your Google Sheet
When the video is ready, the workflow automatically:
- Updates the status to “finished”
- Adds the video URL to your sheet
- Matches it to the correct row using the unique number
Now you can click that link and watch your brand-new UGC ad.
Path 2: Sora 2
Sora 2 is OpenAI’s video generation model. It’s faster and cheaper than the Nano Banana combo, but there’s a catch.
The Sora 2 Limitation
Sora 2 won’t accept images of realistic-looking humans—even if they’re AI-generated. It blocks them because of content restrictions.
So we can’t use the Nano Banana trick. Instead, we send your product photo directly to Sora 2 and let it generate the person and environment from scratch.
The Workaround: Cameos
If you really want a specific person in your Sora 2 videos, you can use their “cameo” feature. Upload a photo of yourself (or someone else), and Sora 2 will put that face in the video.
It’s a cool workaround, but it adds extra steps.
How It Works
The Sora 2 path is actually simpler:
- Video prompt agent creates the prompt and dialogue
- Send to Sora 2 with your product photo
- Wait for video (usually 1.5 to 3 minutes)
- Update Google Sheet when done
The workflow is almost identical to the Veo path, just without the Nano Banana image generation step.
Path 3: Veo 3.1 Alone
This path skips Nano Banana and sends your product photo straight to Veo 3.1.
It’s the simplest option and works well for quick tests. But here’s the issue I noticed:
Veo 3.1 sometimes changes your product. In one test, I uploaded a jar of creatine gummies, but the final video showed a bag instead of a jar. The branding looked similar, but the format was wrong.
That’s a big problem if you’re running paid ads. You need the product to look exactly right.
This is why the Nano Banana + Veo 3.1 combo works better—you’re giving Veo 3.1 a reference image where the product already looks correct.
The Verdict: Which AI Model Wins?
After testing all three extensively, here’s my ranking:
1st Place: Nano Banana + Veo 3.1
Pros:
- Most realistic product representation
- Best starting frame (no awkward product-only shot)
- Most natural-looking videos overall
- Product stays accurate to reference image
And it is important to how to make money with nanobanana so check out – 7 Real Ways to Earn $500/Month with NanoBanana AI (Before Google Starts Charging)
Cons:
- Most expensive (32 cents per video)
- Takes slightly longer to generate
- Two-step process (image then video)
Best for: Brands that need perfect product accuracy and the most authentic UGC look.
2nd Place: Sora 2
Pros:
- Cheapest option (15 cents per video)
- Fast generation times
- Great dialogue and tonality
- Good for testing many variations
Cons:
- Can’t use realistic human images as reference
- Occasional hallucinations in scenes
- First frame shows product only (awkward thumbnail)
- Requires cameos workaround for specific faces
Best for: Budget-conscious creators making high volumes of content.
3rd Place: Veo 3.1 Alone
Pros:
- Simplest workflow
- Fast generation
- One-step process
Cons:
- Sometimes changes product details
- Orange HDR glow in many videos
- Less control over final look
- Product accuracy issues
Best for: Quick tests and concept validation.
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Conclusion: Your Move
You’ve just learned how to create unlimited UGC ads automatically using AI. No more waiting on creators. No more expensive production costs. Just you, a product photo, and three cutting-edge AI models.
The system is yours for free. The technology works right now. The only question is: will you use it?
Test all three paths. See which one works best for your products. Batch-create 20 videos this week and start testing them in your ads. The data you gather now will give you a massive competitive advantage.
Remember: the brands winning in 2025 aren’t the ones with the biggest budgets. They’re the ones moving fastest with AI.
Your first UGC ad is just 3 minutes away.
Ready to start? Join the free community and download everything you need. Link in the description. Let’s build something amazing together.