How Beauty Brands Can Win the AI Recommendation Engine

Prompting Beauty: How Beauty & Grooming Brands Can Map Consumer Behavior and Win the AI Recommendation Engine

AI chatbots like Gemini, ChatGPT and Claude are rapidly becoming the front door to product discovery and evaluation as people shift toward conversational AI to synthesize reviews, evaluate ingredients, and receive personalized recommendations. For brands, winning in the AI age requires activating across the entire ecosystem, ensuring that when consumers turn to AI chatbots for relevant intel, your brand is the inescapable output.

M Booth conducted research to uncover how AI is reshaping the consumer beauty discovery journey. Combining a survey of 2,000 AI beauty searchers with data from GenIQ—M Booth’s proprietary Generative Engine Optimization (GEO) platform, which analyzed nearly 10,000 consumer-style prompts across major AI chatbots—the study maps how consumers prompt AI and measures how brands compete and gain recommendations across these emerging digital gatekeepers.

Among our top findings: 

  • Consumers view AI chatbots as objective advisors and trust them almost as much as dermatologists.
  • AI chatbot recommendations have led consumers to purchase products and spurred brand-switching away from legacy favorites.
  • While consumers largely view AI chatbot recommendations as an objective source, AI outputs remain overwhelmingly positive toward major beauty brands.
  • Read the full report for more insights and actions!

48%

of all users have purchased a specific beauty product online because a chatbot suggested it

38%

of consumers report that an AI chatbot recommendation successfully prompted them to switch from their "usual" beauty brand to a new one

60%

of consumers asked AI to compare beauty products or services

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