The marketing unit of WEIMOB INC (HKG: 2013) has officially launched its Tianqi AI Intelligent Advertising System. This system is deeply integrated with four major media ecosystems: Tencent, Xiaohongshu, Kuaishou, and Douyin. It consolidates five core capabilities: data dashboards, intelligent monitoring, infrastructure management, automated reporting, and batch campaign setup. This creates a one-stop management system for multi-platform advertising, enabling seamless data integration across all channels and full-process control and management. It marks a shift away from the traditional model of manual monitoring and experience-based operations, propelling the advertising industry into a new stage of AI-driven intelligence.
Guo Weihua, Vice President of WEIMOB INC, stated: "The value of AI in marketing scenarios has evolved from assisting with efficiency gains to becoming a new engine for full-chain decision-making and execution. The traditional model of manual monitoring and experience-based forecasting is no longer suitable for today's rapidly evolving, intensely competitive marketing environment."
The launch of the Tianqi AI Intelligent Advertising System is a direct response to this insight. It is not only a key component of Weimob's full-chain AI marketing system encompassing "strategy, delivery, creative, operations, and risk control," but also drives three fundamental shifts in advertising: from experience-driven to data-driven, from manual operations to intelligent operations, and from single-platform optimization to cross-platform synergy. Against the backdrop of WEIMOB INC achieving its first annual profit in four years and its first positive operating cash flow, the implementation of this system adds a new layer of validation to the long-term value of its cash-generating business.
Integrating Multiple Platforms: AI Reconstructs Advertising Efficiency
Historically, multi-platform advertising has been hampered by three major bottlenecks: data silos, redundant operations, and delayed risk response. An operator would need to log into four or five different backends simultaneously, manually create campaigns, monitor spending, and compile reports. More clients meant larger teams, with profits being eroded by rising labor costs. An even greater challenge was the difficulty of standardizing expertise—changing the person managing an account could lead to vastly different results. The limitations of this model are clear: diseconomies of scale, inconsistent quality, and slow risk response.
The Tianqi AI Intelligent Advertising System addresses all three issues with a single technological solution.
First is multi-platform integration. Leveraging APIs and AI algorithms, the system aggregates key data—such as account information, campaign plans, creatives, and spending—from the four major platforms onto a unified dashboard. Operators no longer need to constantly switch between backends; cross-platform strategy formulation, budget allocation, and performance comparison can all be completed in one place. This is more than just operational convenience; it fundamentally changes the management paradigm for multi-platform advertising, shifting from "independent operation per platform" to "unified orchestration across all domains."
Second is full-process automation. Utilizing AI algorithms and intelligent analytics, the Tianqi system can reduce manual repetitive tasks by over 80%. Specifically, in the campaign setup phase, the system supports batch creation of advertising plans and creative content, boosting setup efficiency by 85%.
Simultaneously, Tianqi provides automated reporting capabilities, generating multi-dimensional daily, weekly, and monthly reports on a scheduled basis. It automatically pushes delivery data, performance comparisons, anomaly summaries, and optimization suggestions, enabling unattended automatic review. The AI-powered visual diagnostic function, built on large language models, machine learning models, and multi-dimensional data algorithms, deeply integrates daily data from all channels. This allows for intelligent health checks across the entire delivery chain, automatic identification of abnormal metrics, intelligent breakdown of problem root causes, and generation of actionable optimization suggestions, helping operators efficiently pinpoint issues and improve campaign effectiveness.
These capabilities mean an operations team of the same size can handle several times the previous campaign volume, with marginal costs dropping significantly.
Third is intelligent risk control and decision support. Tianqi's built-in AI anomaly detection mechanism can identify risks in real-time, such as abnormal spending, sudden drops in conversion rates, or creative review failures, and automatically output handling suggestions. All operational processes are traceable and reviewable, with infrastructure monitoring making team process management transparent and quantifiable. More importantly, based on deep analysis of historical campaign data, the system can provide data support for key decisions regarding budget allocation, bidding strategies, and creative iteration, forming a "delivery-data-optimization" closed loop.
Industry observers believe this system is upgrading the traditional advertising model with AI capabilities, driving the industry's comprehensive transition from "manual operations" to "intelligent-driven" operations.
The Marketing Entry Point for Weimob's AI-First Strategy and Its Financial Foundation
Tianqi is not an isolated technology product. Over the past two years, Weimob Marketing has built six AI systems around its core business: Tianshu (strategy), Tianqi (delivery), Tiangong (operations), Tianji (creative), Tianquan (risk control), and Tianxuan (influencer). These cover the entire chain from strategy formulation to ad execution, and from content production to compliance screening. Tianqi is the core component responsible for delivery execution within this system. Its launch signifies that Weimob Marketing's technological foundation has attained scalable, automated output capabilities.
The financial support for this technological layout is already in place. The 2025 financial report shows that WEIMOB INC achieved total revenue of 1.592 billion yuan, a year-on-year increase of 18.9%. Adjusted net profit reached 42 million yuan, marking its first annual profit since 2021. Operating cash flow also turned positive for the first time on an annual basis. Annual revenue related to AI surpassed 100 million yuan for the first time, accounting for 7.3% of total revenue, with a 137.5% sequential growth in the second half of the year. These figures indicate that AI technology is transitioning from concept to tangible revenue contribution.
Data indicates that Weimob Marketing is a significant revenue source within the group. In 2025, its merchant solutions revenue was approximately 695 million yuan, up 65.1% year-on-year. Gross profit reached 631 million yuan, a surge of 137.7% year-on-year, with the gross margin skyrocketing from 63.1% to 90.9%. While periodic factors like advertising platform rebate ratios contributed, the fundamental reason for this dramatic margin expansion is Weimob's proactive optimization of its client structure—focusing on high-value customers.
The implementation of the Tianqi AI Intelligent Advertising System precisely provides a sustainable technological foundation for this already-optimized profit model: serving more clients with fewer personnel, shifting the driver of profit growth from reliance on external rebates to endogenous efficiency gains. Traditional delivery relies on the personal experience of individual operators, which has a low ceiling and is not replicable. Tianqi transforms each campaign into a data asset, using algorithm iteration to replace accumulated experience and automation to replace manual monitoring. Once this mechanism matures, service quality and efficiency will no longer be constrained by team size or fluctuations in individual capability.
From a longer-term perspective, the Tianqi system also plays the role of a pathfinder for new growth avenues. In the future, this system could potentially allow Weimob Marketing's business to extend from "selling services" to "selling technology." Capital markets apply significantly different valuation logics to "marketing service providers" and "AI technology platforms"—the former is constrained by labor and project-based work, while the latter often commands higher valuations due to high scalability and low marginal costs.
More importantly, the launch of the Tianqi AI Intelligent Advertising System clarifies the role of Weimob Marketing: it is both the group's "cash cow," contributing substantial revenue and profit, and a testing ground for AI technology commercialization, validating AI's value in real business scenarios. The key points to watch next are the extent to which this system can boost per-capita efficiency and when its technological capabilities will be offered to the external market. The answers to these two questions will directly determine the substance of Weimob Marketing's new positioning as an "AI-powered marketing service provider."