AI shopping hits beauty
What happened
- Major beauty retailers are embedding AI assistants into shopping experiences to power product discovery. - Ulta announced a Google Gemini integration and Sephora launched an app inside ChatGPT as part of this race. - Brands will likely want decision-ready creative (shade matchers, FAQs, how-to clips) to feed AI shopping interfaces (forbes.com, pymnts.com).
Why it matters
Beauty shopping is moving into chatbots, with Ulta and Sephora racing to meet customers inside Google Gemini and ChatGPT. (ulta.com, newsroom.sephora.com) Ulta Beauty said on April 22 that it is rolling out “Ulta AI,” a shopping assistant built with Gemini Enterprise for Customer Experience on its site and app. It also said its product assortment will become shoppable across Google surfaces, including AI-powered discovery tools. (ulta.com, prnewswire.com) Sephora announced on March 24 that it had launched an app inside ChatGPT in a United States pilot. The company said shoppers can ask beauty questions in chat, get curated recommendations, and link Beauty Insider accounts to use rewards, samples, and free-shipping offers. (newsroom.sephora.com, retaildive.com) Both moves target the same part of the sale: product discovery, when a shopper is still deciding between shades, brands, or routines. Beauty retailers have long used quizzes, reviews, and virtual try-on tools, but chat interfaces collapse those steps into one back-and-forth conversation. (forbes.com, pymnts.com) The timing follows a broader push by OpenAI, Google, and retailers to turn artificial intelligence assistants into shopping surfaces, not just search boxes. Sephora said future updates will add payment and checkout inside ChatGPT, while Ulta said Google integrations will let shoppers discover and compare products across Google touchpoints. (newsroom.sephora.com, ulta.com) Beauty is a natural test case because shoppers often ask open-ended questions that are hard to answer with a keyword search, like which foundation matches dry skin or how to build a routine. Ulta said its assistant will answer beauty questions and support product discovery, while Sephora said its app will offer personalized advice based on stated preferences and linked loyalty data. (ulta.com, newsroom.sephora.com) That changes what brands need to hand retailers and platforms. PYMNTS reported that beauty brands will need decision-ready assets such as shade-match tools, frequently asked questions, and short how-to videos that an artificial intelligence interface can use to answer shopping questions quickly. (pymnts.com) The pitch from retailers is convenience, but the systems still depend on the quality of product data and the limits of the model answering the question. Sephora and Ulta both framed their launches around personalization and easier discovery, not around replacing in-store advice. (newsroom.sephora.com, ulta.com) For now, the contest is less about who has the flashiest chatbot than who gets asked first. In beauty, the first recommendation often shapes the basket. (forbes.com, pymnts.com)
Key numbers
- (ulta.com, newsroom.sephora.com) Ulta Beauty said on April 22 that it is rolling out “Ulta AI,” a shopping assistant built with Gemini Enterprise for Customer Experience on its site and app.
- (ulta.com, prnewswire.com) Sephora announced on March 24 that it had launched an app inside ChatGPT in a United States pilot.
What happens next
- It also said its product assortment will become shoppable across Google surfaces, including AI-powered discovery tools.
- (newsroom.sephora.com, retaildive.com) Both moves target the same part of the sale: product discovery, when a shopper is still deciding between shades, brands, or routines.
- Sephora said future updates will add payment and checkout inside ChatGPT, while Ulta said Google integrations will let shoppers discover and compare products across Google touchpoints.
Quick answers
What happened in AI shopping hits beauty?
Major beauty retailers are embedding AI assistants into shopping experiences to power product discovery. Ulta announced a Google Gemini integration and Sephora launched an app inside ChatGPT as part of this race. Brands will likely want decision-ready creative (shade matchers, FAQs, how-to clips) to feed AI shopping interfaces (forbes.com, pymnts.com).
Why does AI shopping hits beauty matter?
Beauty shopping is moving into chatbots, with Ulta and Sephora racing to meet customers inside Google Gemini and ChatGPT. (ulta.com, newsroom.sephora.com) Ulta Beauty said on April 22 that it is rolling out “Ulta AI,” a shopping assistant built with Gemini Enterprise for Customer Experience on its site and app. It also said its product assortment will become shoppable across Google surfaces, including AI-powered discovery tools. (ulta.com, prnewswire.com) Sephora announced on March 24 that it had launched an app inside ChatGPT in a United States pilot. The company said shoppers can ask beauty questions in chat, get curated recommendations, and link Beauty Insider accounts to use rewards, samples, and free-shipping offers. (newsroom.sephora.com, retaildive.com) Both moves target the same part of the sale: product discovery, when a shopper is still deciding between shades, brands, or routines. Beauty retailers have long used quizzes, reviews, and virtual try-on tools, but chat interfaces collapse those steps into one back-and-forth conversation. (forbes.com, pymnts.com) The timing follows a broader push by OpenAI, Google, and retailers to turn artificial intelligence assistants into shopping surfaces, not just search boxes. Sephora said future updates will add payment and checkout inside ChatGPT, while Ulta said Google integrations will let shoppers discover and compare products across Google touchpoints. (newsroom.sephora.com, ulta.com) Beauty is a natural test case because shoppers often ask open-ended questions that are hard to answer with a keyword search, like which foundation matches dry skin or how to build a routine. Ulta said its assistant will answer beauty questions and support product discovery, while Sephora said its app will offer personalized advice based on stated preferences and linked loyalty data. (ulta.com, newsroom.sephora.com) That changes what brands need to hand retailers and platforms. PYMNTS reported that beauty brands will need decision-ready assets such as shade-match tools, frequently asked questions, and short how-to videos that an artificial intelligence interface can use to answer shopping questions quickly. (pymnts.com) The pitch from retailers is convenience, but the systems still depend on the quality of product data and the limits of the model answering the question. Sephora and Ulta both framed their launches around personalization and easier discovery, not around replacing in-store advice. (newsroom.sephora.com, ulta.com) For now, the contest is less about who has the flashiest chatbot than who gets asked first. In beauty, the first recommendation often shapes the basket. (forbes.com, pymnts.com)
