DEEPZERO(2723.HK) Co-Drafts China's First GEO Group Standards: Building Industry Norms with Enterprise AI Decision-Making Practice

On October 16, 2026, the release conference for the Generative Engine Optimization (GEO) group standards, proposed and administered by the China Advertising Association of Commerce (CAAC) and organized by its AI Marketing Application Working Committee, was held at the Shanghai Digital Advertising Park. DEEPZERO (2723.HK), a core participating unit of the series of standards, attended the conference, witnessed the launch of China's first GEO group standards together with industry experts and a number of technology and marketing companies, and received the participating unit certificate.

Image source: DEEPZERO

The Generative Engine Optimization (GEO) series comprises five group standards, officially published on September 14, 2026, and jointly drafted by 41 participating units and 75 experts, covering the full chain from basic definitions, service provider evaluation, pricing and effect measurement, and trustworthy corpus to service process compliance and security, providing systematic norms for GEO services. According to DEEPZERO's participating unit certificate, the company participated in drafting three of them — Part 2: Service Provider Evaluation Specification (T/CAACCHINA 002—2026), Part 3: Pricing, Evaluation and Measurement Specification (T/CAACCHINA 003—2026), and Part 5: Service Process Compliance and Security Requirements (T/CAACCHINA 005—2026) — contributing enterprise-level AI marketing practices in the discussions, validation and text refinement.

Generative AI is changing how consumers obtain brand information and choose products, and GEO has become an important direction of brand marketing. Leveraging its self-developed DeepAgent multi-agent platform, DEEPZERO has built the DeepGEO intelligent decision system, conducting analysis on brand perception, competitor performance and model information sources across different AI platforms, identifying brand perception gaps and recommendation opportunities, and verifying optimization results through continuous monitoring of AI answers, citations and recommendation performance, forming a closed loop of "insight — decision — execution — feedback". The capabilities have been applied in practice: in a GEO project for an international premium skincare brand, the company optimized professional content and information source strategies around core consumption scenarios such as anti-aging cream; after implementation, the brand's share of voice (SOV) across platforms increased by more than 33%, and the AI recommendation TOP3 rate increased by more than 50%.

As the "first stock of enterprise decision-making AI agents", DEEPZERO (2723.HK) stated that it will continue to leverage its advantages in multi-agent technology, industry algorithms and business practices, participate in GEO standard building and industrial implementation, and push AI-driven recommended marketing toward a more accurate, credible and measurable direction.