That difference matters more than any feature table. A lot of merchants searching "SkinGPT" are really asking whether a simulation will sell product better than an analysis. There's no honest universal answer, but there is a clear way to decide, and it starts with what each tool actually does.
Key terms
- Skin simulation: a generated image showing a predicted or illustrated change to a face, such as aging or a product's effect.
- Skin analysis: a reading of what's visible in a real photo now, such as pores, redness or dark circles.
- Effect and level (SkinGPT): in Haut.AI's API docs, an effect is a transformation category like aging or pigmentation, and a level is one stage of it.
- Product mapping (Face Age): linking each product to the concerns and severity levels it suits, so results show the right items.
What does SkinGPT do?
I'm going only by Haut.AI's public product page, developer docs and announcements (checked November 11, 2026). Haut.AI describes SkinGPT as a platform for photorealistic skin simulations built on generative AI. The listed capabilities are aging progression, product effects over time and environmental effect simulations. Haut.AI says it is trained on more than 3 million data points and designed for all skin tones and types.
The use cases Haut.AI lists for brands are virtual skincare try-ons, showing what an active ingredient may do, long-term effect previews, combined effects (for example, a product plus sun exposure) and synthetic data for research. Its "how it works" section describes three steps: create a SkinGPT app on Haut.AI's platform from your own study data or a template, install it on your site or in a store, then let customers take a photo and see the effect.
A July 2026 changelog says the Haut.AI Consumer App now uses SkinGPT for effect simulation, with optional Try-on and Add to cart buttons on results and product pages. Those product actions are off by default. The same note says SkinGPT needs an active SkinGPT subscription, arranged through an account manager. I didn't find public prices.
Public examples include an aging model launched in October 2025 that can show changes over periods of up to 40 years, and a collaboration with OLAY announced in June 2026 that projects how a recommended routine may look over 4 to 8 weeks on a matched "virtual companion" face.
What does Face Age do?
Face Age is an AI skin analysis app for skincare and beauty stores, sold on the Shopify App Store and as an API/custom-code product with the same features. A shopper takes one photo. The analysis reads 13 visible concerns across 250+ attributes and gives a Skin Age estimate, then shows products you've mapped to those concerns. Not a medical diagnosis; does not replace a dermatologist.
The parts merchants actually spend time on are:
- The Quiz Builder. Sections with Select and Multi Select questions, hide conditions and an Email element, ending at the Skin Analyzer step. Details on the quiz feature page.
- Product matching. Each product gets concerns and severity levels (low, medium, high). Quiz answers can include or exclude products, and excludes always win.
- Storefront placement. A floating Modal or an in-page Section, plus optional blocks like Product Insight on product pages and a Recommended Products carousel.
- Returning shoppers (Plus and above). Analysis history, two-scan comparison with Improved, Regressed and Stable tags, branded PDF reports, AM/PM routines and Klaviyo or Mailchimp sync.
There's no simulation. Face Age doesn't generate an image of what someone's skin will look like in eight weeks. If a shopper scans again later, the Compare tab sets two real photos side by side.
SkinGPT vs Face Age at a glance
| Haut.AI SkinGPT | Face Age | |
|---|---|---|
| Core output | Generated images of possible future skin | Reading of visible concerns in today's photo, plus product picks |
| Main question answered | "What could this product or habit do over time?" | "What does my skin show now, and what should I buy?" |
| Setup | SaaS platform and API; build an app from study data or templates | Shopify App Store install, or API/custom code |
| Store connection | Optional Try-on and Add to cart on results (off by default) | Product mapping to your catalog is the core step |
| Pricing | Subscription via account manager (no public prices found) | Shopify: Start $59, Plus $129, Growth $249, Scale $499 |
| Repeat visits | Simulations can be re-run | Real history and two-scan comparison on Plus+ |
Where simulation helps, and where it's risky
Simulation is powerful for storytelling. A brand launching a new active ingredient can show it on the shopper's own face, which is far more personal than a stock before-and-after. Haut.AI's Givaudan demo at in-cosmetics Global 2026 is exactly that kind of use.
The catch is expectation. A generated "after" image is an illustration, and a shopper may read it as a promise. If your product claims are modest, or you sell many brands you don't make, you'd need to be careful that each simulated effect matches what you can back up. Haut.AI's own setup step, building an app from study data, tells you this tool is aimed at brands with their own product research. A multi-brand retailer usually doesn't have that for every SKU.
Analysis has the opposite profile. It's less dramatic, because it describes what's already there. But it's easier to keep honest: the shopper sees "medium dryness" on their own photo and a moisturizer mapped to medium dryness. Nothing about the future is implied. Our post on what a store can honestly promise from skin analysis goes into that framing.
Which one fits your store?
Lean toward SkinGPT if you're a brand with your own formulas and study data, you want marketing visuals or an ingredient story, and you have the team and budget for an enterprise-style setup with an account manager.
Lean toward Face Age if you run a Shopify store (single or multi-brand), you want shoppers to get a short list of products from your catalog, and you want to install and edit it yourself. Start at $59 covers the scan, quiz, Skin Age and recommendations. History, comparison and PDF reports start on Plus at $129. See pricing.
Some brands could use both. An analysis to pick the routine, and a simulation to illustrate a hero product. That's a bigger build, and you'd want to be sure the two experiences don't confuse shoppers with two different "results" screens.
How I'd test it before committing
- Write down the one question your shopper is asking at the moment the tool appears. "Will this work for me?" is different from "Where do I start?"
- For SkinGPT, ask Haut.AI which effects you can configure without your own study data, and what the shopper sees when they tap Try-on.
- For Face Age, install the trial, map ten real products, and run the scan on your own phone in normal room light.
- Show both flows to two or three staff who answer customer questions. Ask which result they'd be comfortable explaining.
If you're comparing more tools, our 2026 roundup of AI skin analysis tools for ecommerce covers Haut.AI's analysis product alongside Perfect Corp and Revieve.
Sources (checked November 11, 2026): haut.ai/product/skingpt; docs.saas.haut.ai SkinGPT API overview and changelog version 2026-30; Haut.AI's OLAY announcement (June 11, 2026); Haut.AI press release on PR Newswire (October 13, 2026).
FAQ
What is SkinGPT? Haut.AI's generative AI product for skin simulations: aging, product effects over time and environmental effects, per its public pages.
Is Face Age a SkinGPT alternative? Only partly. Face Age analyzes today's photo and recommends your products. It doesn't generate future-skin images.
Can I install SkinGPT from the Shopify App Store? Haut.AI describes it through its SaaS platform and API with a subscription via an account manager. Face Age installs from the Shopify App Store.
How much does Face Age cost? Start $59, Plus $129, Growth $249 and Scale $499 a month on Shopify, with a 7-day trial.
