Snap Inc. has announced a sweeping partnership with Perplexity AI valued at approximately 400 million dollars, combining cash and equity over one year. The deal will integrate Perplexity’s conversational AI answer engine into Snapchat’s chat interface starting in early 2026, giving users the ability to ask natural-language questions and receive sourced answers without leaving the app. The move comes as Snap reported its Q3 earnings with revenue of 1.51 billion dollars, up 10 percent year-over-year, and a narrowing net loss of 104 million dollars.
Through this integration, Snapchat users in the U.S. and other eligible markets will access Perplexity’s engine when they ask questions such as “What’s the best sushi spot nearby?” or “How many moons does Mars have?”
The answer engine will provide responses drawn from verifiable sources and link directly to details—all within Snapchat’s existing chat flow. The company says it will also reuse messages to personalize results, though it clarified Snapchat user data will not be used to train Perplexity’s models. This layering of AI into chat marks a strategic pivot for Snapchat, which until now focused primarily on images, short video, and augmented-reality experiences.
The deal places Snapchat in the middle of two major shifts, one in how social platforms engage users and another in how conversations with machines become seamless.
With more than 943 million monthly users globally, Snapchat now positions itself to compete not just with visual-based rivals like TikTok and Instagram but also with platforms that provide utility and search, including Meta and Microsoft. Advertisers may get access to new formats built around real-time queries and AI-driven discovery, offering deeper engagement and better targeting potential.
Despite the hype, integration won’t be without hurdles. First, the rollout is slated for early 2026 and limited to certain regions and English-language users, meaning many markets will wait. Snap also warned that user growth may slow in Q4, especially given regulatory headwinds like age-verification laws in countries such as Australia.
Next, accuracy and trust matter: AI-generated answers must be reliable and contextual, especially when monetization depends on user trust. Finally, monetization itself is still unproven, whether creators, advertisers, and users will embrace this new layer remains to be seen.