Will AI-made images, avatars and content look fake?
It looks fake when it's generic: invented people, warped hands, a clinic that isn't yours. It doesn't when it's built from your real photos and your real space. We start from your own pictures, train on your face and your clinic, check every image by hand before it runs, and use talking-head video from you when trust matters most.
Why patients notice
People have seen enough AI images to spot the tells: extra fingers, plastic skin, a gym that doesn't exist, a smile nobody has. In a clinic ad that costs you trust at the exact moment you're asking for it. "That's AI" is a real comment we've seen under ads.
How we keep it real
- Start from your photos. Your face, your team, your treatment room. The AI extends what's real; it doesn't invent a clinic.
- Check every image. Hands, text, background objects. Anything off gets regenerated or cut. Nothing goes live unreviewed.
- Know when not to use it. For the ad that has to earn trust, a 30-second phone video of you explaining one thing beats any generated image.
What it's good for
Volume and testing. Ten variations of an ad image in an afternoon instead of a photo shoot, so the ads can test which angle works before you spend on the expensive version.
Questions around the fire
Do I have to be on camera?
No, but it helps. One short video from the owner usually outperforms every generated image for the first ad someone sees.
Will Meta reject AI images?
Not for being AI. Ads get rejected for claims and before-and-after rules, which we write around either way.
Can you make it hyper-realistic?
You don't need hyper-real. You need it to look like your clinic. Realistic and recognizable beats polished.