Questions to ask on Pinterest: the AI chatbot that knows your tastes

Pinterest has just launched Ask Pinterest, a new experimental app that revolutionizes the way products are discovered, integrating a conversational approach based on artificial intelligence. This standalone app simulates a chatbot assistant, using natural language to offer personalized answers, taking the shopping and discovery experience beyond classic Pinterest search.

Key points

• Ask Pinterest is a standalone app that uses AI to provide personalized answers about products and inspiration through natural language questions.
• The app is based on Pinterest’s “Taste Graph” and on users’ saved Pins and Boards to deliver tailored results.
• Pinterest has also introduced new AI solutions for advertisers, such as the Model Context Protocol and the Performance+ creative model.
• An AI assistant for Ads Manager is currently in beta and available in the United States.
• Pinterest’s vision aims to discover content in a more contextual way, through personal tastes and trustworthy recommendations rather than just keywords.

Pinterest unveils experimental app ‘Ask Pinterest’ for conversational shopping

With the introduction of Ask Pinterest, the company is exploring a conversational shopping interface that goes beyond the traditional visual experience. The app allows users to ask complex, multi-step questions that are difficult to handle with standard search, creating an intelligent and personalized dialogue. It can support, for example, requests such as a detailed schedule for organizing a dinner or furnishing a room over time, maintaining the user’s context across multiple sessions.

A chatbot experience to discover products more naturally

This AI assistant, independent from the main app, allows users to interact with Pinterest more spontaneously, using natural language without strict query limits. The approach aims to make the exploration of content and products more fluid and conversational, expanding the concept of discovery from a simple search engine to a true personal assistant.

Personalization thanks to the Taste Graph and user data

At the core of Ask Pinterest is the “Taste Graph,” Pinterest’s sophisticated internal map that connects users’ interests and aesthetic preferences, combined with the analysis of saved Pins and Boards. This makes it possible to provide answers that reflect not only immediate queries but also personal nuances of taste and context, ensuring a deep and relevant level of personalization.

How the app leverages save history for tailored answers

Ask Pinterest integrates users’ historical data to enrich answers, making them unique for each profile. This means that the same question can receive different answers depending on the preferences and interests already expressed, a personalization that goes beyond keywords and reflects a true understanding of individual tastes.

AI innovations for advertising and marketing

Alongside the launch of Ask Pinterest, the company announced several new features dedicated to digital marketing professionals. Among these is the Pinterest Model Context Protocol (MCP), a new infrastructure that allows advertisers to manage their campaigns using third-party AI tools, improving control and efficiency of promotional operations.

Performance+ creative and AI assistant for Ads Manager

The AI model Performance+ creative has also been launched globally, optimizing the choice of creative elements in ads by selecting in real time the best-performing versions to maximize effectiveness. In addition, an AI assistant dedicated to Ads Manager is available in beta in the United States, offering personalized support and advice to advertisers in managing their campaigns.

Pinterest’s AI strategy and the future of discovery

Pinterest has chosen to base its artificial intelligence models primarily on its own proprietary data, avoiding licensing to external AI services. This choice underscores the company’s commitment to maintaining a unique competitive advantage, feeding its systems with a vast amount of in-depth information on user behavior and preferences.

A new vision of search driven by context and trust

Lee Brown, Chief Business Officer at Pinterest, summed up this philosophy by emphasizing that “the future of discovery will no longer be driven only by keywords.” The search and discovery of products and content will be driven “by context, taste, and trustworthy recommendations,” elements in which Pinterest has a distinctive advantage thanks to its own ecosystem of data and users.

Ask Pinterest therefore represents a significant step toward a new mode of digital interaction, enriching the user experience with artificial intelligence that emphasizes personalization and conversation. For those wondering what questions to ask on Pinterest to make the most of this technology, the answer is that it will now be possible to interact more naturally, letting artificial intelligence stitch together tastes, contexts, and preferences into a new digital shopping experience.

FAQ

What is ‘Ask Pinterest’ and how is it different from the main Pinterest app?

‘Ask Pinterest’ is an experimental standalone app that works as an AI chatbot, designed to enable conversational shopping and personalized product discovery through natural language questions, compared to the traditional search system of the main app.

How does Ask Pinterest personalize its recommendations?

The app leverages Pinterest’s internal Taste Graph together with users’ saved Pins and Boards to offer answers and suggestions that reflect each profile’s personal tastes and interests.

What new AI technologies has Pinterest introduced for advertisers?

Pinterest has introduced the Pinterest Model Context Protocol (MCP) for campaign management with third-party AI tools, the Performance+ creative AI model to optimize ad creatives, and an AI assistant for Ads Manager that is currently in beta in the United States.

What is Pinterest’s vision for the future of online discovery?

According to Pinterest, the future of discovery will no longer be based solely on keywords, but will be shaped by context, personal taste, and trusted recommendations, offering a more authentic and personalized experience.

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