Meta tests AI shopping search feature in Meta AI chatbot to compete with ChatGPT, Gemini

Meta is testing a shopping research feature in its Meta AI chatbot, marking the company's latest effort to compete with e-commerce capabilities being rolled out by OpenAI and Google.

The feature, currently in testing, enables Meta AI users to research and compare products within the chatbot interface. This positions Meta's AI assistant alongside ChatGPT and Google's Gemini, both of which have introduced shopping-focused tools in recent months.

The shopping research capability allows users to ask natural language questions about products, compare options, and receive recommendations directly within the Meta AI chat interface. The feature is designed to integrate with Meta's existing ecosystem, potentially leveraging product information from Facebook Marketplace and Instagram Shopping.

Competitive Landscape

This move follows similar launches from rivals. OpenAI added shopping capabilities to ChatGPT through partnerships with e-commerce platforms, while Google integrated Gemini with its Shopping Graph and merchant networks. Amazon has also pushed shopping features through its Alexa AI assistant.

Meta's approach leverages its existing infrastructure: Instagram and Facebook already host millions of product listings and merchant accounts. A shopping research feature in Meta AI could drive commerce engagement while reducing friction for users discovering products.

Implementation Details

The current test phase suggests Meta is evaluating user adoption rates, result quality, and merchant integration requirements. Meta has not disclosed which product categories are included in testing or when a full rollout might occur.

Meta AI, powered by Llama 2 and later open-source Llama models, already offers web search, code generation, and image creation. Adding commerce capabilities extends its utility to transactional workflows.

Market Implications

The shopping search feature reflects a broader trend of AI chatbots evolving from conversation tools into commerce enablers. This vertical integration—combining chat interface with product discovery and purchasing—could become a significant revenue driver if successful.

For Meta, which generates most revenue from digital advertising, an AI-powered shopping search could supplement ad revenue by capturing commercial intent directly within the chatbot. Merchants selling on Instagram and Facebook could gain visibility in search results, while Meta collects valuable commerce intent data.

What This Means

Meta's shopping research test signals that e-commerce integration is becoming table-stakes for consumer AI assistants. If the feature gains traction, it could accelerate the shift from search engines to AI chatbots as primary discovery channels for products. The outcome will likely depend on result quality, merchant participation, and whether users adopt the feature as a genuine shopping tool rather than a novelty.