Meta is reportedly experimenting with new shopping features for its artificial intelligence assistant, Meta AI. The update could allow users to search for products, compare options, and receive shopping recommendations directly inside the chatbot.
The development appears to be part of Meta’s broader strategy to strengthen its AI ecosystem and compete with other major AI assistants such as ChatGPT and Google Gemini, which have recently expanded their tools for browsing and product discovery.
AI Shopping Research Built Into the Chat Interface
According to recent reports, the company is currently testing this feature with a small group of users in the United States through the Meta AI web interface.
With the new system, users can ask the AI assistant questions about products in natural language. Instead of sending users to search engines or external websites, the chatbot may present suggestions directly within the conversation.
For example, users might ask the assistant to:
- Recommend the best budget smartphones
- Compare laptops under a specific price range
- Suggest winter jackets or fashion items
- Find popular wireless headphones
The assistant then generates product suggestions along with important information to help users make decisions.
Product Cards With Images and Key Details
When a user searches for products, Meta AI may display results in a visual format. Early testing suggests the chatbot can show a carousel of product cards containing:
- Product images
- Brand names
- Price estimates
- Website sources
- Key product features
In addition to these details, the assistant also provides short summaries explaining why certain items were recommended.
This approach allows users to review multiple product options quickly without browsing through multiple websites.
Personalized Recommendations Based on User Data
Meta’s AI assistant may also use information already connected to a user’s account to personalize suggestions.
The system could consider factors such as:
- User location
- Account details
- Previously inferred interests
For instance, when searching for clothing items, the assistant may recommend products suited to the user’s location or preferences.
Personalization could make the shopping experience more relevant while helping users find products faster.
Possible Future Integration With Retail Platforms
Although the feature is still being tested, it could eventually expand into a larger shopping ecosystem.
Future updates might include:
- Direct links to online stores
- Affiliate partnerships with retailers
- Sponsored product placements
These integrations could turn Meta AI into a product discovery platform while creating new revenue opportunities for the company.
However, Meta has not officially confirmed how or when these features might be rolled out to all users.
Growing Competition Among AI Assistants
The race to build advanced AI assistants is becoming increasingly competitive. Several companies are expanding their tools beyond simple chat functionality.
For example:
- Some AI assistants now provide shopping comparisons and purchasing options.
- AI search tools are being integrated into browsing platforms.
- Product discovery features are becoming more common across AI systems.
Meta’s experiment with AI-powered shopping suggestions reflects this broader trend of transforming AI assistants into everyday research and recommendation tools.
Also read: Instagram Expands Teen Safety: Parents to Be Notified of Repeated Harm-Related Searches
Final Thoughts
Meta’s reported testing of AI-driven shopping recommendations highlights how quickly artificial intelligence assistants are evolving. By allowing users to research and compare products directly inside a conversation, Meta AI could simplify the online shopping experience.
While the feature is currently limited to testing, it shows that Meta is actively working to expand the capabilities of its AI assistant. If successful, AI-powered product discovery could become a key part of how people explore and choose products online.