Social media giant Meta is accelerating the transformation of its AI assistant, Meta AI, into a powerful e-commerce engine. According to the latest news from Bloomberg, Meta is secretly testing an "AI Shopping Research" feature in its chatbot, aiming to directly compete with OpenAI's ChatGPT and Google's Gemini, vying for the consumer interface in the AI era.
Currently, this feature has been launched for some Meta AI web users in specific regions of the United States. When users ask the AI for product recommendations, Meta AI no longer provides only text descriptions but instead displays product images in an intuitive "carousel" format, with detailed labels for brand, official website links, and prices. Additionally, the AI will explain the reasons for the recommendations in a structured bullet-point format.
Notably, the shopping guidance provided by Meta AI demonstrates a strong "personalization" feature. Testing shows that the feature customizes recommendations based on the user's location, gender preferences, and social browsing history. For example, when a user in New York looks for a down jacket, the AI will precisely recommend a women's style suitable for the local climate. Although Meta currently does not support direct checkout within the chat interface, users can click on the link to jump to the merchant's official website to complete the purchase.
Meta CEO Mark Zuckerberg has clearly stated that the company's goal is to build a "personal super intelligence." He believes that compared to competitors, Meta's core advantage lies in providing an extremely personalized experience based on users' long-term content preferences and social relationships. This test of the shopping function is not only a way for Meta to increase user engagement but is also seen as a key step in using AI technology to reshape its advertising business and explore commercial monetization potential.
Key Points:
🛒 AI Shopping Launch: Meta AI has started testing a shopping recommendation feature, supporting carousel display of product details, prices, and reasons for recommendations.
🎯 Extreme Personalization: The recommended content combines location, gender, and social history to achieve more accurate "planting grass" than traditional search.
⚔️ Intensified Competition in Large Models: Meta is entering the e-commerce market through this, directly competing with ChatGPT and Gemini for the consumption decision-making power of existing users.
