Pinterest is expanding its artificial intelligence ambitions with the launch of ‘Ask Pinterest,’ a new standalone shopping and discovery app designed to help users find products through natural language conversations.
According to Pinterest, the app allows users to describe what they are looking for in everyday language, enabling Pinterest’s AI systems to generate personalized recommendations based on preferences, aesthetics, occasions, and lifestyle needs. The move marks the company’s latest effort to blend visual discovery with conversational AI.
Rolling out in the US, Ask Pinterest is a new experimental app for exploring more conversational, visual-first and agentic shopping experiences.
Unlike conventional e-commerce search experiences that rely on keywords and filters, Ask Pinterest is designed around conversational prompts.
Users can ask questions such as what to wear for a summer wedding, how to decorate a small apartment, or what gift ideas suit a particular occasion. The app then generates personalized suggestions while drawing on Pinterest’s vast catalogue of images, products, and visual inspiration.
The experience is intended to make product discovery feel more intuitive, especially for users who know what they want conceptually but may struggle to describe it through traditional search terms.
Pinterest has long positioned itself as a platform where users discover ideas across fashion, beauty, home décor, food, travel, and lifestyle categories.
With Ask Pinterest, the company is extending that discovery experience through AI-powered conversations. The app combines Pinterest’s understanding of visual trends with generative AI capabilities to surface products and ideas tailored to individual tastes.
The launch reflects a broader shift across the technology and retail industries, where companies are increasingly integrating AI assistants into shopping experiences to help consumers navigate overwhelming amounts of choice.
Rather than browsing endless product listings, AI-powered commerce tools aim to help users move from inspiration to purchase through more personalized recommendations and contextual conversations.
