The Problem
Usually, global brands use the same photo everywhere. A winter coat ad shot in New York gets shown in Tokyo. It's cheap, but it feels disconnected. AI lets you change the visual context to match the viewer.
Visual Translation
It's about adapting the world of the ad:
- Place: Swap a Parisian street for a Kyoto alleyway or a Brazilian beach.
- People: Change the models to look like the people who actually live there.
- Culture: Make sure the food, home decor, and habits shown in the background make sense for that country.
Example: Dinner Time
A food delivery app can generate 50 versions of their "Dinner Time" ad. In the US, it shows pizza on a coffee table. In France, wine and cheese. In India, a family sharing curry. The message is the same, but the photo feels like home.
How to do it
- Base Asset: Create your main product shot.
- Localize: Create a list of prompts for each region (e.g., "Region: Japan, Background: Tatami room, Lighting: Soft").
- Check It: Have someone from that culture check it to avoid mistakes.
This moves marketing from "Global" to "Multi-Local," which simply works better.
