Revieve unveils ChatGPT tool for beauty brands amid AI discovery shift

Revieve has launched a tool that lets beauty brands and retailers guide how consumers discover skin care products inside generative AI platforms, with its AI Skin Advisor for ChatGPT. 

Consumers’ beauty discovery journeys are rapidly evolving beyond traditional channels like web search and social media. As beauty shoppers increasingly demand personalized routines, tools such as ChatGPT have gained increased attention. However, generative AI tools often provide generic answers, leaving distinct brand voices out of the discovery journey.

The AI Skin Advisor for ChatGPT aims to enable beauty brands to meet consumers where they look for products — on AI platforms — and deliver tailored skin analysis, education, and recommendations in their own voice.

“Consumers are already turning to AI assistants with very specific, intent-driven questions, often earlier in the journey than they would traditionally engage with a brand or retailer. That positions AI conversations as a potential new entry point into discovery,” Irina Mazur, chief commercial and marketing officer at Revieve, tells Personal Care Insights.

“What’s different is that this ‘front door’ is conversational and dynamic, rather than navigational. Instead of browsing or searching, users are asking for guidance.”

AI Skin Advisor for ChatGPT works by combining Revieve’s proprietary skin analysis engine with a brand-led recommendation layer that plugs directly into generative AI environments.

It uses skin assessment based on computer vision, a product and ingredient catalog with a global overview, and customizable brand logic to generate tailored skin care insights inside ChatGPT.

Brands can control the tone, product mapping, educational content, and personalization rules inside the AI interface.

Consumers inform brand decisions

As beauty buyers spend more time on generative AI platforms for skin care and product advice, the environment opens up a layer of insight into their purchase patterns that brands can use to inform business decisions.

Behind the scenes, the tool captures interaction data from consumers, such as their concerns, skin care routine preferences, and their product exploration patterns.

“AI-led consultations provide a much more nuanced view of consumer intent compared to traditional channels. Instead of just tracking clicks or purchases, brands can understand how consumers think — the specific concerns they describe (e.g., redness vs sensitivity), the language they use, the routines they are trying to build, and the questions they ask before making a decision,” Mazur says.

Consumers are increasingly using ChatGPT to ask personalized skin care questions and receive tailored recommendations.She explains that brands can use the data to inform product development through identifying unmet needs or emerging concerns. Moreover, brands can adapt their messaging, education, and how to explain ingredients or routines to consumers more clearly.

“Over time, this type of interaction data can help brands move from reactive marketing to more proactive, insight-driven engagement,” says Mazur.

Blending brand, retailer, and advisor

According to Mazur, it is unlikely that generative AI platforms will fully replace existing channels for product discovery, but she says it may become “an important first layer” of discovery — particularly for education-heavy categories like skin care.

“Generative AI introduces a new intermediary into the relationship,” Mazur says. “Historically, brands and retailers controlled most of the discovery experience: through stores, websites, and content.”

However, she explains that with AI, part of that interaction shifts into a third-party environment where recommendations are generated dynamically.

“This creates both challenges and opportunities. On one hand, there’s a risk of generic or unbranded guidance if brands aren’t actively participating in these environments. On the other hand, it opens up the possibility for more accessible, personalized, and conversational experiences at scale.”

Mazur says that AI’s involvement in consumers’ beauty purchases also blurs the traditional boundaries between brand, retailer, and advisor, as the environment combines consultation, education, and product discovery into a single interaction.

“Overall, we see this as a shift toward more intent-driven, personalized discovery, with AI becoming an additional layer between consumers and existing beauty ecosystems,” she says.