Pinterest launches an experimental AI shopping app called ‘Ask Pinterest’

2026-06-17 · Source: AI News & Artificial Intelligence | TechCrunch · Field: Technology & Digital — Artificial Intelligence & Machine Learning, E-commerce & Digital Commerce, Marketing, Branding & Advertising · Depth: Fundamental Awareness, quick

Summary

Pinterest has launched "Ask Pinterest," an experimental AI shopping app designed to explore conversational product discovery, potentially integrating into its main platform later. This new online application leverages Pinterest's "Taste Graph" to offer personalized recommendations through a chatbot-like interface, handling complex queries like planning events or furnishing rooms. Initially available in limited access, "Ask Pinterest" allows the company to test AI without impacting its core experience, competing with similar AI shopping initiatives from Google, ChatGPT, and Meta. Concurrently, Pinterest introduced AI tools for advertisers, including an AI assistant in Ads Manager (beta, U.S.), the global Performance+ creative model for ad selection, and the Pinterest Model Context Protocol (MCP) for standardized campaign management with third-party agentic tools. These announcements precede Cannes Lions, highlighting Pinterest's focus on AI-driven discovery and advertising.

Key takeaway

For AI Product Managers developing discovery platforms, Pinterest's "Ask Pinterest" launch signals a critical shift towards conversational AI and personalized experiences. You should evaluate integrating chatbot-like interfaces for complex, multi-step user queries, leveraging your own proprietary data for model training. Consider deploying experimental features as standalone applications to gather user feedback and iterate without disrupting your core product, informing future flagship app enhancements. This approach allows for agile development in the competitive AI shopping landscape.

Key insights

Pinterest is expanding AI-driven discovery and advertising through a new conversational shopping app and marketer tools.

Principles

• AI experimentation benefits from standalone applications.
• Proprietary data fuels specialized AI model training.

In practice

• Test new AI features in separate, experimental apps.
• Integrate conversational AI for complex user queries.

Topics

• AI Shopping
• Conversational AI
• Product Discovery
• AdTech
• Pinterest
• Machine Learning Models

Best for: CTO, Product Manager, Marketing Professional, AI Product Manager, Director of AI/ML

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Editorial summary, takeaway, and curation by AIssential. Original article published by AI News & Artificial Intelligence | TechCrunch.