Meituan's GN06 Launches Public Beta of AI-Native Browser Tabbit

Meituan has launched the public beta of Tabbit, an AI-native browser that unifies search, chat, and task automation in one intelligent workspace. The browser represents a significant evolution in how users interact with the internet, moving beyond traditional tab-based browsing to create what Meituan calls an "intelligent work companion."

Unlike conventional browsers that require constant switching between tabs, office software, and standalone AI tools, Tabbit enables human–AI parallel collaboration within a unified workspace. This approach addresses a fundamental friction point in modern digital workflows: the cognitive overhead of managing multiple applications and contexts simultaneously.

For professionals, the browser can handle tasks such as web data extraction, information structuring, and drafting report outlines without leaving the browser environment. Students can leverage integrated search and AI dialogue functions to quickly distill key points from study materials and resolve academic questions. Content creators can use AI assistance for idea generation and content refinement, streamlining the creative process.

The launch reflects Meituan's broader AI strategy, which in 2024 outlined a three-layer framework: AI at Work (boosting internal efficiency), AI in Products (upgrading existing offerings and building native AI applications), and Building LLM (developing proprietary foundation models). Tabbit falls squarely into the "AI in Products" category, signaling that Meituan's large-model capabilities are expanding into consumer-facing scenarios.

GN06, the team behind Tabbit, previously introduced the AI creation tool Miaoshua. The browser's public beta marks a key milestone in Meituan's AI strategy, demonstrating the company's commitment to bringing AI capabilities directly to end users rather than limiting them to internal operations or enterprise customers.

The Competitive Landscape

The AI browser market has quickly become one of tech's most competitive arenas. 360 has rolled out AI upgrades across its browser portfolio, while global players such as OpenAI and Perplexity AI have introduced their own browser products in efforts to challenge Google's dominance with Google Chrome. Meanwhile, Microsoft has deeply integrated Copilot into Microsoft Edge, accelerating the rollout of AI-powered browsing experiences.

This rapid deployment wave highlights both the enormous market potential and intensifying competition in AI-native browsing. The fundamental question these products are trying to answer is whether AI can fundamentally reshape how people interact with the web, or whether it will remain a supplementary feature within existing browsing paradigms.

Meituan's Differentiation Strategy

Meituan's differentiation may lie in its local services ecosystem. With its extensive user base and strong scenario advantages, the company could accelerate Tabbit's adoption. Over time, deeper integration between AI task execution and Meituan's local services—such as restaurant recommendations or group-buy deals—could create a distinctive "AI browsing + local services" closed-loop model.

This ecosystem advantage could prove crucial. While global AI browsers compete primarily on model capabilities and interface design, Tabbit could leverage Meituan's existing infrastructure to provide contextually relevant local information and services. For instance, a user researching restaurants could seamlessly transition from information gathering to booking reservations or placing orders without leaving the browser.

Technical Architecture and Capabilities

While specific technical details remain limited, Tabbit appears to integrate multiple AI capabilities directly into the browsing experience. The browser likely leverages Meituan's proprietary large language models, though it's unclear whether it uses third-party models for certain tasks or maintains a hybrid approach.

The browser's ability to handle "complex task execution" suggests it goes beyond simple chat interfaces, potentially incorporating agent-like capabilities that can navigate websites, fill forms, and perform multi-step workflows autonomously. This represents a significant technical challenge, as it requires robust error handling, context management, and security considerations.

Market Implications

The launch of Tabbit signals a broader trend in the tech industry: the convergence of AI capabilities with traditional software categories. Just as AI has transformed productivity tools, creative applications, and operating systems, browsers are becoming the next frontier for AI integration.

For Meituan, this represents both an opportunity and a strategic imperative. As AI becomes increasingly central to digital experiences, companies that fail to integrate these capabilities risk becoming obsolete. By launching Tabbit, Meituan is positioning itself at the forefront of this transition rather than playing catch-up.

Challenges Ahead

However, Tabbit faces significant challenges. User adoption of new browsers remains difficult, as most users are deeply entrenched in existing ecosystems. Google Chrome's market dominance, combined with the network effects of browser extensions and integrations, creates substantial barriers to entry.

Additionally, privacy concerns around AI-powered browsing could limit adoption, particularly in markets sensitive to data collection and surveillance. Tabbit will need to clearly communicate its data handling practices and potentially offer local processing options to address these concerns.

The success of Tabbit will ultimately depend on whether it can deliver tangible productivity improvements that justify the friction of switching browsers. If Meituan can demonstrate clear advantages for its target user base—office professionals, students, and content creators—it may find a sustainable niche in an otherwise crowded market.

As the public beta rolls out, the tech industry will be watching closely to see whether Tabbit represents a genuine evolution in browsing or another AI feature that fails to fundamentally change user behavior. The answer could have implications far beyond Meituan, potentially signaling the future direction of human-computer interaction in an AI-native world.