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Pinterest Explores Conversational Commerce with Experimental “Ask Pinterest” App
Pinterest has launched “Ask Pinterest,” an experimental application designed to test a more interactive, conversational approach to product discovery and shopping. This initiative signals Pinterest’s strategic move towards integrating AI-driven dialogue into its platform, potentially evolving how users engage with the service for inspiration and purchasing decisions.
Leveraging the “Taste Graph” for Personalized Discovery
The “Ask Pinterest” application is built upon the company’s proprietary “Taste Graph,” a sophisticated internal data framework that maps user interests and aesthetic preferences. By offering a chatbot-like interface, the app allows consumers to utilize natural language queries for more nuanced and personalized recommendations, extending Pinterest’s well-established visual discovery capabilities into a more dynamic conversational format.
This development arrives at a critical juncture for online commerce, as AI-powered chatbots increasingly vie with traditional search engines for consumer attention. Platforms like Google, ChatGPT, Meta, and Shopify are all exploring AI integrations to enhance shopping experiences, track prices, and streamline checkout processes. Pinterest’s approach, however, focuses on leveraging its unique data assets rather than relying on third-party AI services or licensing deals.
Operating “Ask Pinterest” as a standalone application allows Pinterest to innovate and refine its AI capabilities without impacting the core user experience of its main platform. This experimental approach is particularly suited for handling complex or multi-step user queries, such as planning a dinner party or furnishing a room over time, scenarios that extend beyond simple keyword searches.
The application can also draw upon a user’s saved Pins and Boards to provide highly personalized responses, aiming to maintain user context across interactions and thereby enhance the overall shopping journey. Pinterest anticipates that insights gained from this experimental app will inform the development of future AI-powered features for its flagship product.
AI Enhancements for Advertisers
In parallel with its consumer-facing AI explorations, Pinterest also unveiled several AI-driven initiatives for advertisers. These include a beta AI assistant within its Ads Manager in the U.S. and a global AI model for its Performance+ offering. This model is designed to optimize ad creative selection by predicting which creative is most likely to perform best for each ad impression.
Furthermore, Pinterest introduced the Pinterest Model Context Protocol (MCP), an infrastructural layer enabling advertisers to manage and monitor campaigns using third-party agentic tools in a standardized manner. Lee Brown, Pinterest’s chief business officer, highlighted the evolving search landscape, stating, “the future of discovery won’t be driven by keywords alone. It will be shaped by context, taste, and trusted recommendations”—an area where Pinterest believes it holds a distinct advantage.
The “Ask Pinterest” app is currently accessible to a select group of users via the web on both mobile and desktop platforms.
Business Style Takeaway: Pinterest’s dual strategy of enhancing consumer discovery through conversational AI and empowering advertisers with AI-driven campaign optimization underscores the platform’s commitment to leveraging AI for deeper user engagement and revenue growth. This approach positions Pinterest to capitalize on the shift from keyword-based search to contextually rich, personalized discovery, a trend that could reshape the future of e-commerce and digital advertising.
Based on materials from : techcrunch.com