r/AI_UGC_Marketing

I'm experimenting with Gemini Pro for AI-generated UGC videos and have been getting mixed results.

This is the prompt I'm using:

   Please use the attached photo as talking photo.

    A casual, friendly young Taiwanese woman in her mid-20s, looking directly at the camera, talking. She has a natural, light makeup look, wearing smart-casual office attire like a pastel blouse. Bright, well-lit modern office or cozy cafe background. Shot on an iPhone 15 front camera, vertical video aspect ratio, cinematic lighting, photorealistic, UGC style, TikTok aesthetic, highly detailed face, 8k. --ar 9:16 --v 6.0

    Scene 1
        Script: Zoning out in meetings? Can’t keep up with your boss?
        Video: UGC-style; Taiwanese girl looking relatable but expressive.
    Scene 2
        Script: Check out this lifesaver!
        Video: Girl looks pleasantly surprised, holding up her phone/product.
    Scene 3
        Script: Just tap record, and let AI handle the heavy lifting.
        Video: Girl points to the top of the screen.
    Scene 4
        Script: Meeting over? Get a full summary in just one minute!
        Video: Faster pace, highlighting "one minute" and "summary."
    Scene 5
        Script: Replay audio and export to PDF in one click. So easy!
        Video: Girl looks relieved and relaxed.
    Scene 6
        Script: Download now for a 3-day free trial! Click the link below!
        Video: Enthusiastic, urgent tone; gestures strongly toward the bottom of the screen.

Overall, I'm actually quite impressed with the results:

• The generated scenes closely match the prompt.
• The voice sounds surprisingly natural (although not perfect).

However, one major issue is that the spoken dialogue doesn't faithfully follow the script. The model frequently skips words, paraphrases sentences, or omits parts of the script entirely, even when I explicitly provide the exact wording.

I'm wondering:

1. Are there prompt engineering techniques that improve script adherence?
2. Is this simply a current limitation of Gemini Pro's video generation model?
3. Has anyone had better success with other AI video platforms that can generate talking-head UGC videos while following the script almost word-for-word?

I'm happy to pay for a service if it produces significantly better results.

I'd especially appreciate recommendations from people who have actually compared multiple platforms for this use case (e.g. realistic talking avatars, UGC-style ads, TikTok creatives, etc.).

I'm running a supplement brand. I want a bunch of AI generated UGC style creative, testimonial vibes, before/after hooks, day in the life stuff, before we scale spend back up.

If you’ve actually done this for real brands (not just made a cool demo reel) and know how to turn out a bunch of variations fast so we can test hooks, drop some examples below or dm me. bonus points if you’ve touched health/wellness/supplements before but not required.

I'm not looking for a one off, want someone i can keep working with as we ramp this up. happy to jump on a call if it seems like a fit.

DM me..

A lot of ecommerce brands seem to be moving from “can we make UGC?” to “can we make enough UGC fast enough to keep testing?”

But after working on batch UGC / product-demo / TVC-style ad variants for about a year, I think the harder problem is not volume by itself.

The harder problem is making sure a batch of 30–50 videos is not just the same ad wearing 30 different outfits.

A few things I keep noticing:

1. If every video starts with the same product shot, the platform often treats the batch like one creative family, not 50 real tests.

2. A new script is not always a new angle. Sometimes it is just the same belief, rewritten.

3. The most useful batches are built around different buyer doubts: “will this work for me,” “is it worth the price,” “can I trust this,” “how fast do I see it,” “what makes it different.”

4. AI UGC works better when the variation plan is designed before generation. If you generate first and organize later, the batch usually becomes messy.

5. A good 50-video batch might only need 8–10 core hypotheses, but each hypothesis needs enough visual / creator / hook variation to survive testing.

My current workflow is to plan the batch around proof moments first, then build hooks, creators, voiceovers, scenes, and CTAs around those proof moments.

Not pitching anything — I’m trying to compare notes with people making or testing AI UGC ads.

When you build a batch of AI UGC ads, do you organize it by creator style, hook type, product feature, buyer objection, or something else?

So I’ve been testing AI UGC for mobile app ads, and the biggest improvement came when I stopped asking the video model to explain the whole app. My early prompts were basically full creator briefs: open the app, tap through the UI, show the feature, react, explain the benefit, and end with a CTA. It sounded fine on paper, but the renders usually came out rushed, fake, or unstable.

The problem is that app UGC is less forgiving than physical-product UGC. If someone is selling a skincare bottle or gadget, the model has a clear object to show. With apps, the UI is the product, so if the screen changes, invents buttons, or shows unreadable text, the whole ad loses trust even if the creator looks realistic.

What worked better was narrowing the generated clip to one user pain, one app moment, and one reaction. First-reaction angles and “I used to do this manually, now I use this” angles worked better than full walkthroughs. The AI video should create belief and curiosity, not explain every feature.

I still show the app properly, but I do it in the edit. Real screenshots, screen recordings, captions, overlays, and cuts are easier to control after generation. The AI handles the creator moment, and the edit handles the product truth.

I also started running prompts through UGCWiz before generating because most bad renders were already visible in the prompt. It catches things like overloaded timing, vague app-screen instructions, fake creator delivery, and UI/text risks before spending credits.

Curious if others doing AI UGC for apps are seeing the same thing: are you getting reliable app walkthroughs from AI video yet, or are you also keeping the generated clip simpler and adding the exact UI later?

Is AI good enough that I would be able to generate a clone of myself and then using ai generated videos to post to tik tok. They would be about prescription glasses, informative and educational and promoting my online prescription glasses business. It would require a lot of trust would the ai kill it. Appreciate your help.

I was wodnering whats software i should use and also what paltforms pay to to advertize their products and stuff like that. I want to be able to have some sort ofside income from this for uni.

Also Iw as wodnering is it better to dropship usign ai ugc, affliate market or join creator/company advertising campigns. also what niches are the best?