I recently came across AI agents that can create product videos almost on their own, and it made me curious. Has anyone here tried using AI agents to generate videos for their Shopify store or other ecommerce business? How was the quality, and did it actually help with sales or save you time? I’d love to hear your experience, which tools you used, and whether you’d recommend them to someone just getting started.
The one I’ve seen that works best is Higgsfield, but it’s pretty expensive
Generally, the quality isn’t so great, and you might need to work with a lot of editing, short clips cut together, to try to minimised the time of a viewer to focus on the Uncanny Valley and other artefacts which currently appear in most ai generated video.
In a confusing online world, where you want a potential customer to trust your brand, I would steer clear of using it for most tasks. Maybe animating some graphics, or take a still image and making an element move will keep everything in tact. More than that should be avoided or you risk damaging the brand.
Hey @Aliece ,
I’ve found that AI video tools can be a real time saver especially for creating content for social media and product promotions. The quality has improved a lot but the best results usually come from combining AI with your own product photos or video clips rather than relying entirely on AI generated content.
For someone just getting started I’d use AI to speed up the editing process then add your own branding and messaging to make the videos feel more authentic.
Thank You !
Yes, it’s pretty common practice.
It’s very interesting 'cause you can generate many different actors and scenario at scale for quite low price.
We also tried generating short adv in the form of music videos using the auto ai music video generation feature of One More Shot AI and uploading an ai song made with Suno.
It seems that people really like them w.r.t. normal adv.
Hi, @Aliece
Hope this message finds you in good spirit.
For this purpose you should check out Visually AI. It helps generate AI powered product images and videos from your product catalog, making it much faster to create marketing content for your store.
Go and check here: Visually A/B Testing & CRO - A/B testing & CRO: simply AB test & personalize with... | Shopify App Store
Controversial take: the issue that keeps coming up about the uncanny valley problem isn’t an AI video problem; it’s a brand data problem.
Higgsfield and others produce high quality raw footage, but they have no idea what they are doing no logo placement rules, no brand voice rules, no product information except for the prompt. And that’s why the content looks weird despite the perfect visuals.
Solution that hasn’t been considered yet: agents that will understand the brand assets before they do any kind of generation process. For example, Monica from ShopOS extracts structured brand information (brand tone, colors, product specifications) during the generation process and takes care of logo/end card placement. Not post-factum, as it happens now, leading to Frankenstein’s videos.
Generation quality wasn’t an issue anyway.
Ever tried a tool that understands the brand before rendering?
Wow! That’s a whole lot of cut and paste sections of a sentence that doesn’t seem to make much sense.
Uncanny Valley doesn’t have anything to do with a brand, read here (if you’re not a bot): Uncanny valley - Wikipedia
I’ve seen the best results when AI handles editing, not the actual product demo. Fully generated clips often change packaging, colors, or small product details, which can hurt trust.
A practical test:
- Shoot 5 to 10 real phone clips, each 3 to 5 seconds, showing the product, scale, and use.
- Use AI for captions, background removal, voiceover, resizing, and cutting 3 different hooks.
- Keep videos around 15 to 25 seconds and check every frame for altered labels or features.
- Run the AI-assisted version against a basic customer-style edit with the same offer. Compare hold rate, product-page clicks, and purchases, not just views.
It definitely saves editing time. I would not expect it to create convincing sales footage from only a product photo, especially for clothing, beauty, or anything where accurate details matter.
The core issue is that fully AI generated video cannot guarantee pixel accurate product representation. Diffusion and video generation models don’t understand your product as fixed data, they reconstruct it frame by frame from a learned pattern, which is exactly why packaging, labels, stitching, or color shift between frames or shots. For ecommerce specifically, that’s a legal and trust risk, not just a quality issue, since a customer receiving a product that doesn’t match the ad has grounds for a chargeback or complaint.
The correct technical split is this: use real footage for anything that shows the product itself, and use AI only for the layers that sit around the product. That means AI for background generation or removal, AI for voiceover and script to speech, AI for auto captions and hook variations, and AI for resizing one clip into 9:16, 1:1, and 16:9 without reshooting. None of those layers touch the actual pixels of your product, so there’s no accuracy risk.
If you want AI to generate the product itself moving or in a scene, the safer method is image to video from your own real product photo rather than text to video from a prompt, since it anchors the generation to a real reference frame and reduces drift, though it still isn’t guaranteed pixel perfect and you should review every output frame by frame before publishing.
For measuring whether it’s working, track hold rate in the first 3 seconds, click through to the product page, and actual purchase conversion, not raw views or likes, since AI generated hooks can inflate watch time without moving the metric that pays your bills.