Meta is testing a new AI‑powered shopping research feature in its Meta AI web browser, a rollout that began on March 2, 2026 and is currently available to a subset of U.S. users. The feature presents users with a carousel of product images, brand names, prices and links to merchant sites, allowing shoppers to browse options directly from the browser.
The tool does not yet support checkout or payment; users must click the merchant links to continue shopping. Meta has not disclosed how it will monetize the feature, but industry observers expect the company to explore referral commissions or other revenue models.
The launch is part of Meta’s broader AI strategy to monetize its platform and compete with OpenAI’s ChatGPT and Google Gemini, both of which have integrated e‑commerce capabilities. CEO Mark Zuckerberg said the tool is a step toward building “personal superintelligence” and delivering a uniquely personal shopping experience based on users’ history, interests and relationships.
Meta’s AI infrastructure investment is substantial, with projected capital expenditures of $115 billion to $135 billion for 2026, covering data centers, computation power and research capacity. The company’s December 2025 acquisition of Manus, an AI agent developer, is expected to enhance conversational AI and scale social commerce.
The competitive landscape includes OpenAI’s shopping feature launched in November 2025 and Google’s Universal Commerce Protocol introduced in January 2026, which enable Gemini to compare products and facilitate purchases. Meta’s advantage lies in its vast user data from Facebook and Instagram, enabling highly personalized recommendations.
While the tool is still in testing and not yet monetized, it signals Meta’s intent to create new revenue streams beyond advertising and to capture high‑intent traffic early in the shopping journey. The rollout to U.S. users is a first step; broader deployment and monetization plans remain to be announced.
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