Meta is reportedly experimenting with a new feature in its artificial intelligence assistant that could transform how users research and shop for products online. The company is testing personalized shopping recommendations inside Meta AI, allowing users to discover products, compare options, and explore suggestions directly through the chatbot interface.
The move signals Meta’s growing effort to compete with other AI platforms such as ChatGPT and Google Gemini, both of which have recently introduced AI-driven browsing and shopping capabilities.
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Meta AI May Soon Help Users Discover Products
According to reports, the new feature is currently being tested with a limited number of users in the United States who access Meta AI through its web interface.
With this tool, users can ask the AI assistant for recommendations on various products, including clothing, electronics, and accessories. Instead of directing users to a search engine or separate website, the assistant presents results directly inside the chat.
The results reportedly appear in a carousel format that includes product images along with essential information.
Each product suggestion may include:
- Brand name
- Estimated price
- Website source
- Product images
- Key features and highlights
The assistant also provides brief explanations outlining why certain products were recommended.
AI-Powered Product Research
The system is designed to support natural language queries. Users could ask questions such as:
- Compare two smartphones
- Suggest budget laptops
- Recommend winter jackets
- Find the best wireless headphones
The AI assistant then generates comparisons, feature summaries, and price ranges to help users make decisions more quickly.
Instead of browsing multiple websites, users can view summarized insights within the chat interface.
Personalization Based on User Data
One of the key elements of this experiment is personalization. Meta AI may tailor product recommendations based on information it already knows about the user.
This could include factors such as:
- Location
- Account information
- Interests inferred from activity
For example, when searching for clothing items, the assistant might suggest options relevant to the user’s location or style preferences.
Personalized recommendations could make the shopping experience more relevant and efficient.
Possible Future Monetization
Although the feature is still being tested, it may eventually open the door for new revenue opportunities.
Potential future developments could include:
- Direct links to online retailers
- Affiliate partnerships
- Sponsored product placements
These features could allow Meta to monetize shopping recommendations while keeping users inside the AI interface.
However, the company has not confirmed any specific plans for how the system might generate revenue.
Rising Competition in AI Shopping Tools
The development reflects increasing competition among AI platforms to become more than just conversational assistants.
Several companies are already moving in this direction:
- ChatGPT has introduced shopping-focused experiences that help users explore products and complete purchases through partner integrations.
- Google is expanding AI-powered shopping tools within search and the Gemini app.
By adding product discovery capabilities, AI assistants are evolving into full-service research and recommendation tools.
Why This Matters
If widely released, AI-powered shopping inside Meta AI could simplify product discovery for users.
Instead of searching across multiple sites, people could ask the AI assistant for recommendations, comparisons, and insights within a single conversation.
For Meta, integrating shopping into its AI ecosystem could also increase engagement and open new monetization opportunities.
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Final Thoughts
Meta’s reported testing of personalized shopping recommendations highlights how rapidly AI assistants are evolving. Companies are no longer focusing only on conversation but are expanding into areas like research, product discovery, and online shopping.
While the feature is currently limited to testing with select users, it demonstrates Meta’s ambition to compete directly with other leading AI platforms. If the experiment proves successful, AI-powered shopping could become a major part of how users discover products in the future.