No. Virtual try-on adds a visualization layer on top of a product; it doesn't replace accurate product data or existing imagery. In a quality-checked pipeline, the brand's existing product photo is actually the foundation the result is built from.

It places the brand's real 2D catalog photo of the item onto a hand, wrist, or ear from a reference photo, rather than generating a new image of the product from scratch. The item's proportions and details come from the actual product photo; the AI handles scale, angle, and blending onto the shopper's photo. This is different from older try-on technology, which mapped a manually built 3D or 2D asset onto the shopper using fixed geometric rules, and different from generic AI image generators, which typically synthesize the product rather than place a real photo of it.

We recommend supporting the launch with a dedicated email announcing the new feature, ideally featuring an animated GIF that demonstrates the experience in action and links to a category page with VTO-enabled products.
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To build broader awareness, homepage visibility is also important. Banners or other prominent placements can help introduce the feature to more visitors and encourage trial.
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We also suggest adding a short explanation of how the feature works. Even when the experience is simple, some shoppers may benefit from a little extra guidance before they feel comfortable using it.
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Finally, we recommend promoting the new capability across social media and user-generated-style content so that more of your audience is exposed to it and encouraged to engage.