Your AI UGC ads don’t fail because of bad prompts. They fail because you don’t have a system.
Most people open up ChatGPT, ask for a few prompts, and hope. Then when it doesn’t convert, they blame AI. But the real issue is that there’s no system connecting everything.
I’m Charles Dove. I run CC Strategic, an AI automation agency, and I build systems like this for real businesses every week. On my YouTube channel @charlieautomates, I break down the exact workflows I build so you can do the same.
In this post, I’m going to walk you through the exact system I use to turn winning ads into repeatable AI UGC ads. Step by step.
The Problem With How Everyone Makes AI UGC Ads
You might feel like every AI UGC ad you create is a one-off experiment. That kills your confidence. It makes you wonder if AI ads actually work at all.
But the problem isn’t your creativity. The problem is a lack of structure.
Think about it. You find a cool ad. You try to recreate it with AI. You type a vague prompt. The output looks fake. You tweak it five times. Still looks fake. You give up and tell yourself AI isn’t ready yet.
Sound familiar? That’s what happens without a system.
What you need is a repeatable process. One that takes a proven ad, analyzes it, generates scene-by-scene prompts with your brand and character baked in, and outputs video clips you can actually use. That’s what Charlie Automates built. And that’s what I’m sharing with you today.
The System From 30,000 Feet
Here’s the big picture. This system has five pieces that work together:
- Facebook Ad Library to find ads that are already winning
- Airtable to organize your inputs (ad URL, character, brand messaging)
- n8n workflow to connect everything and generate prompts automatically
- Gemini + ChatGPT to analyze ads and create scene-by-scene prompts
- Sora 2 (or Kai API) to generate the actual video clips
When you run the workflow by clicking start, it generates prompts that you feed into Sora. Each prompt references the character you created, your brand messaging, and the full context from the ad you copied from the library.
That’s it. No guessing. No starting from scratch every time.
Step 1: Find Winning Ads in the Facebook Ad Library
The first step is finding the ads that are already converting. You’re not inventing anything new here. You’re finding what works and using it as your blueprint.
Go to the Facebook Ad Library. Search for competitors in your niche.
Two things to look for:
Look for ads running at least a month. If a company is spending money on an ad for 30+ days, chances are it’s converting. They wouldn’t keep running it if it wasn’t making money.
Have an eye for your industry. If you’re in the health and wellness space, you probably know what pulls people in. If you’re in SaaS, same thing. I can’t teach you that intuition, but if you’re in the space you’re in, I’m sure you already know.
Once you find the ad you want to replicate, you need the video URL. Here’s the trick:
- Click “See Summary Details” on the ad
- Right-click and click Inspect
- Click the Network tab
- Play the video
- You’ll see the video URL pop up in the network requests
- Copy that URL
That URL goes straight into your Airtable. First piece done.
Step 2: Create Your AI Character in Sora 2
This is the part most people skip. And it’s the part that makes or breaks your ad.
If you don’t have a consistent character, your five scenes will look like five different people. Different hair, different clothes, different everything. That’s an instant tell that it’s AI-generated.
Here’s what you do:
- Download the Sora 2 app on your phone
- Create a character using their character creator
- Generate a short test video to see how the character looks
- Save the character tag (it’ll give you something like “Sunny Sarah”)
That tag is your reference. When the workflow runs, it pulls that character into every prompt. Same face. Same look. Same clothes. Across all five scenes.
This is what separates bad AI UGC from believable AI UGC. Consistency.
I created a character and got the tag. Then I just plugged it into my Airtable record. When the workflow runs, it knows exactly which character to reference. And because it’s a public profile on Sora, anyone using the system can pull that same character.
Step 3: Build Your Brand Messaging
You might already have brand messaging. That’s great. But this system needs something more specific.
I created a custom GPT that asks you targeted questions about your business. Pain points. Value props. Messaging pillars. Target audience. Call to actions. Even messaging to avoid.
It produces a structured brand message that the workflow can actually read and use. Not a vague paragraph about your mission statement. Real, specific messaging that translates into UGC scripts.
You could just plug in your existing brand messaging. But I’d suggest running through the GPT exercise. It’s a useful exercise for any business owner. And the output format is designed to work with the n8n workflow.
The GPT and the workflow template are both available in my Skool community. Free to join.
Step 4: The n8n Workflow That Ties Everything Together
This is the engine. Let me walk you through what happens when you click “Generate Prompt” in your Airtable.
The webhook fires. It’s connected to your n8n workflow. Every time you click the button, it activates the workflow.
It pulls your Airtable records. The original ad URL, your character reference, and your brand messaging.
Gemini analyzes the video. The workflow sends the ad URL to Gemini with a detailed system prompt. That prompt is already built out for you. It breaks down the video scene by scene, capturing:
- Cinematography details (camera angles, framing, motion, depth of field)
- Scene transitions
- Product placement
- Character positioning
- B-roll opportunities
- Environment and setting
This is the part most people think is impossible. Creating five scenes with AI that have character consistency, same clothing, same setup, same environment, same product. It IS a mess if you try to do it manually. But this prompt organizes everything.
ChatGPT generates scene-by-scene prompts. It takes the analyzed data from Gemini, combines it with your brand messaging and character reference, and creates five individual Sora prompts. Each one includes all the cinematography details needed for quality output.
The results update back in Airtable. All five prompts appear in your record, ready to copy and paste into Sora.
The whole thing is already set up. You don’t have to build any of it from scratch. Just plug in your three inputs: ad URL, character tag, and brand messaging. Click start. Wait a minute. Done.
Step 5: Generate Your Videos in Sora 2
Now you take each prompt from Airtable and plug it into Sora 2.
A few tips for this step:
Set videos to 15 seconds. This gives you extra wiggle room. If the script gets cut off or a scene runs short, you have buffer for editing.
Use Kai API if you want no watermark. It’s 15 cents per 10-second video. Cheap. Or you can use Sora directly on the web app, but you’ll have that watermark.
Don’t put a reference image in Sora. The reason is that you already created a public profile on Sora 2 through the app. The character creator handles consistency. Adding a reference image on top of that can actually mess things up.
Run prompts multiple times. You won’t get a perfect clip on the first try every time. Run each prompt two or three times and pick the best version. At 15 cents per clip, iteration is cheap.
The Real Work: Post-Production
Here’s something people don’t talk about enough. A lot of the work happens after you have your five scenes.
You’re going to need to:
- Add voiceover (either AI-generated or your own)
- Add music and sound effects
- Cut and trim each scene
- Add text overlays and captions
- Stitch everything together into a final ad
The AI generates your raw footage. The editing is where you make it feel real. This is where your knowledge of your industry matters. You know what hooks work. You know what pacing converts. The AI gives you the building blocks. You assemble them.
Why This System Beats One-Off Prompting
Let me be direct about why this matters.
It’s repeatable. Find a new winning ad. Swap the URL. Click generate. New prompts in seconds.
It’s consistent. Same character across every scene. Same brand voice. Same quality level.
It’s fast. The workflow runs in about a minute. Generating five video clips takes maybe 10 to 15 minutes. Editing takes an hour or two. You can produce a full AI UGC ad in an afternoon.
It’s cheap. If you use Kai API, five scenes at 15 seconds each costs about $1.13. Even if you run each prompt three times, you’re under $4 for raw footage.
It removes the guessing. You’re not hoping a random prompt produces something usable. You’re taking a proven ad structure, plugging in your brand, and generating targeted clips.
Common Mistakes to Avoid
I’ve tested this framework extensively. Here’s what trips people up:
Skipping the brand messaging step. If you don’t give the system specific messaging, your ads will sound generic. Take 10 minutes to run through the GPT.
Not reading the generated prompts before running them in Sora. I know the system generates them automatically. But read through them first. Make sure they fit what you have in mind. A quick edit before generation saves you time and credits.
Trying to get perfect clips on the first try. AI video generation is iterative. Run each prompt a few times. Pick the best version. Don’t waste 30 minutes tweaking a prompt when you could just generate three versions and choose.
Forgetting about B-roll. The system generates B-roll prompts too. Use them. B-roll is what makes an ad feel professional instead of staged.
Using random characters instead of creating a consistent one. This is the most common mistake. If you don’t set up a Sora character with a saved profile, your scenes will never look cohesive.
The Tools You Need
Here’s the full stack:
| Tool | Purpose | Cost |
|---|---|---|
| Facebook Ad Library | Find winning ads | Free |
| Airtable | Organize inputs and outputs | Free tier works |
| n8n | Automation workflow engine | Free self-hosted or paid cloud |
| Gemini | Video analysis | API costs (cheap) |
| ChatGPT | Prompt generation | API costs or subscription |
| Sora 2 | Video generation | Included with ChatGPT Plus or use Kai API at $0.15/10s |
Total cost per ad? Under $5 if you’re iterating. That’s less than a coffee for a full AI UGC ad.
Who Is This System For?
This works for:
- E-commerce brands running paid ads on Meta
- Agency owners producing UGC for clients
- Dropshippers testing products with video ads
- SaaS companies creating product demo ads
- Anyone spending money on UGC creators and wanting to cut costs
If you’re paying $200 to $500 per UGC video from a creator, this system pays for itself on the first ad.
Get the Workflow Template
Everything I showed you in this post is available for free. The n8n workflow template, the Airtable base, and the brand messaging GPT.
Join CC Strategic AI on Skool to grab the templates. It’s free. No catch.
If you want to go deeper and have me help you build this for your specific business, you can work with me 1-on-1. We’ll set up the full system, customize the prompts for your niche, and get you producing ads the same week.
For agency-level work, book a call with CC Strategic. We build these systems for clients at scale.
FAQ
How much does it cost to produce one AI UGC ad with this system?
Under $5 per ad if you’re using Kai API for video generation. That includes running each scene prompt a few times to pick the best version. The n8n workflow, Airtable, and Facebook Ad Library are all free or have free tiers.
Do I need to know how to code to use this system?
No. The n8n workflow is pre-built. You import the template, connect your API keys, and it works. The Airtable base is also pre-built. You just fill in three fields: ad URL, character tag, and brand messaging.
Can I use this for any niche or product?
Yes. The system is niche-agnostic. It works by analyzing whatever ad you feed it. Health products, SaaS, fashion, food, services. The brand messaging GPT customizes the output for your specific business.
How long does it take to produce a full AI UGC ad?
About 2 to 3 hours from start to finish. That includes finding the ad (10 min), running the workflow (2 min), generating video clips (15 to 30 min), and editing the final ad (1 to 2 hours). The editing takes the longest.
What’s the difference between Sora 2 and Kai API?
Sora 2 is OpenAI’s video generation model. You can use it through the web app (included with ChatGPT Plus) but it has a watermark. Kai API accesses the same Sora 2 model but removes the watermark and charges per video. It’s 15 cents per 10-second clip. For production ads, I’d use Kai.
Will the AI-generated character look the same across all five scenes?
That’s the whole point of creating a Sora character profile first. The character tag ensures the same face, hair, and clothing show up in every scene. It’s not perfect 100% of the time, but it’s consistent enough for UGC-style ads. If a scene comes out weird, just regenerate it.
Can I use this system for clients if I run an agency?
Absolutely. Create a separate character and brand messaging profile for each client. The workflow handles the rest. You can produce multiple ads per client per week at almost zero cost.
What if I already have brand messaging?
You can plug it straight into the Airtable field. But I’d still recommend running through the custom GPT I built for this. It structures your messaging in a format the workflow reads cleanly. Takes 10 minutes and makes a real difference in the output quality.
Is this system fully automated?
About 80%. The workflow generates prompts automatically. But you still need to manually paste prompts into Sora and do the final editing. Full automation from prompt to published ad is possible with API integrations, but the manual step lets you quality-check before spending credits.
Where do I get the workflow template?
Join CC Strategic AI on Skool. The workflow template, Airtable base, and brand messaging GPT are all in the course section. It’s free to join.