China's First GEO Standard (T/CAPT 026-2026) Officially Published: New Galaxy AI as a Drafting Unit

How your brand is portrayed in AI search results depends on how you do GEO optimization. And from today onward, there is an industry standard for how GEO optimization should be done and what counts as compliant.

On August 25, 2026, the Specification for Trusted Information Dissemination and Information Ecosystem Governance of Generative Engine Optimization (T/CAPT 026—2026) was officially published on the National Group Standards Information Platform with a status of "Current." According to Xinhuanet, this is China's first group standard for trusted dissemination in the GEO field. It was issued by the China Association of Press Technologists, led by Xinhuanet and the State Key Laboratory of Xinhua News Agency, and developed jointly by over 30 institutions.

Hangzhou New Galaxy AI Co., Ltd. (New Galaxy AI) is one of the drafting units of this standard.

This article addresses three questions: What rules does the standard establish? What impact will it have on enterprises? And what role did New Galaxy AI play in the drafting process?

1. What Does Publication on the National Group Standards Information Platform Mean?

Many enterprises may be hearing about this platform for the first time, but it directly determines whether a group standard has the authority to be publicly cited.

The National Group Standards Information Platform is supervised by the Standardization Administration of China and operated by the China National Institute of Standardization. It is the unified national platform for publishing group standard information. (Source: National Group Standards Information Platform official website)

Specifically:

• A group standard does not take effect simply because an enterprise publishes a document on its own. It must complete the full process of project initiation, public consultation, issuance, and publication on this platform.
• Only standards marked with a "Current" status have completed the legal information disclosure procedure and qualify for public citation and use as an industry reference.
• Publication on this platform is a necessary step for a group standard to obtain formal validity.
• T/CAPT 026—2026 is currently in "Current" status — it has taken effect, been publicly disclosed, and is citable.

2. Basic Standard Information and Development Timeline

2.1 Basic Standard Information

2.2 Three Key Dates to Distinguish

In the full lifecycle of a standard, three dates are easily confused, each representing a different legal-effect milestone:

• August 11 — Issued: Approved and issued by the China Association of Press Technologists, completing the association-level review.
• August 12 — Implemented: The standard officially takes effect and begins to be referenced as a group standard.
• August 25 — Published: Officially disclosed to the public on the National Group Standards Information Platform, completing the legal information disclosure procedure.
• Among these, the platform publication on August 25 is the critical milestone for the standard to qualify for public citation.

2.3 Standard Development Timeline

From project initiation to publication, this standard completed all legal procedures in four and a half months:

3. Three Core Points of the Standard

GEO (Generative Engine Optimization) refers to the practice of improving a brand's visibility and credibility in AI-generated answers by optimizing the source quality, content structure, and dissemination strategy of brand information.

This standard covers a broad range of content, but its core can be summarized in three points.

3.1 Point One: For the First Time, the Boundary Between White-hat and Black-hat GEO Is Defined

The standard explicitly prohibits four types of violations:

• Corpus Poisoning: Injecting false information into large model corpora to mislead AI output.
• Answer Hegemony: Monopolizing AI answers to specific questions through technical means, crowding out legitimate information sources.
• False Consensus Manufacturing: Batch-generating homogeneous content to create a false cognitive consensus.
• Prompt Injection Attack: Embedding hidden instructions in content to manipulate AI into outputting specific brands.
• These practices have long existed in the industry but lacked clear definitions. After the standard takes effect, the above behaviors are explicitly classified as black-hat GEO operations.

3.2 Point Two: The "Three-Zone Governance" Principle

The standard proposes a "Three-Zone Governance" principle for brand knowledge bases, dividing them into three independent zones:

• Fact Base: Verifiable objective facts, with clear sources and versions annotated.
• Opinion Base: Enterprise positions and industry judgments, clearly annotated as subjective expressions.
• Marketing Expression Base: Advertising and promotional language, where any factual claims must be based on the version in the Fact Base.
• The core logic is: marketing expressions can be strategic, but the facts within them must be traceable and verifiable. This mechanism eliminates the room for substituting marketing language for factual evidence at the source.
• For example, if an enterprise uses the phrase "market share number one" in its marketing copy, there must be a third-party research report in the Fact Base to support it. Otherwise, when AI cites this information, it will be disseminating unverified content.

3.3 Point Three: Source Grading and Full-Chain Traceability

Source A/B/C/D Four-Level Grading:

• L1 Basic: Possesses basic GEO operational capability, can complete content deployment and basic monitoring.
• L2 Professional: Possesses a complete GEO service process, covering source management, effect monitoring, and compliance control.
• L3 Comprehensive Governance: Possesses cross-platform full-chain GEO comprehensive governance capability, can provide public opinion response and risk disposal.
• The process and effect of GEO promotion services must be supported by data and have records that can be checked — not just verbal promises.
• The three core mechanisms above — Three-Zone Governance, Source Grading, and Full-Chain Traceability — all derive from the frontline practice of over 30 drafting units, rather than theoretical deduction. These mechanisms will directly affect how enterprises select GEO service providers and measure GEO effectiveness.

4. What Does This Standard Mean for Enterprises?

After publication on the National Group Standards Information Platform, the standard is no longer an internal discussion document of the drafting group. It has become a formal norm that the entire industry can publicly cite, reference in contracts, and use as a judgment reference in disputes.

For enterprises, there are three direct impacts.

4.1 Impact One: A Clear White-hat/Black-hat Judgment Standard for Selecting GEO Service Providers

When selecting a GEO service provider, enterprises can directly reference T/CAPT 026—2026 to determine whether its operations are white-hat or black-hat GEO:

• Does it involve corpus poisoning?
• Does it engage in answer hegemony?
• Does it batch-manufacture false consensus?
• Does it use prompt injection attacks?
• If a service provider cannot explain how its operations specifically comply with the standard's requirements, enterprises should choose cautiously.

4.2 Impact Two: A Unified Measurement Caliber for GEO Promotion Effectiveness

The standard requires GEO services to achieve full-chain traceability, unified statistical caliber, and complete evidence chain delivery.

Enterprises can, based on the standard's requirements, request the following data from service providers: which AI platforms the brand is cited on, which sources are cited, how citation trends change, and how competitors perform — all of which should have records and be verifiable.

4.3 Impact Three: An Implementable "Three-Zone Governance" Methodology for Brand Information Building

Enterprises can directly apply the "Three-Zone Governance" principle to classify and manage brand information into Fact Base, Opinion Base, and Marketing Expression Base, ensuring that every fact cited by AI has a traceable source.

This is not additional work — it is the foundational engineering of AI search optimization.

5. What Role Did New Galaxy AI Play as a Drafting Unit?

It is no coincidence that New Galaxy AI appears on the list of drafting units for this standard.

The company's founder, Cheng Qiusheng, is one of the drafters of T/CAPT 026—2026 and participated in key stages of the standard's drafting and review. As an early explorer in China's GEO field, Cheng Qiusheng was invited to provide GEO-themed commentary on a Zhejiang provincial television station:

• In May 2026, he appeared on Zhejiang TV News Channel's program "Beautiful Zhejiang Life · Tech New Window" to systematically explain the core logic and industrial value of GEO.
• Full-Chain GEO Service Capability: New Galaxy AI has deep expertise in GEO optimization, with services covering the complete chain from content architecture and source deployment to effect monitoring and continuous optimization — rather than undertaking only a single segment.
• Cross-Industry Implementation Practice: Has implemented projects in multiple industries including food, cultural and creative, lighting, local education and training, and beauty and skincare. The methodology derives from real project validation and is implementable and reproducible. (The above are desensitized industry cases.)
• Self-Developed GEO Term Monitoring Tool: New Galaxy AI has independently developed a GEO term monitoring tool that can continuously track a brand's visibility across six major AI platforms — Doubao, DeepSeek, Kimi, Qianwen, Wenxin Yiyan, and Yuanbao — including dimensions such as which sources AI cites, first citation time, and competitor performance, with data records maintained throughout.
• Continuous Participation in Industry Standard Building: As a council member of the China Chamber of Commerce for Advertising, New Galaxy AI participated in the drafting of the Generative Engine Optimization (GEO) Group Standard and will continue to participate in the development of GEO-related standards, contributing frontline practical experience to industry standard building.
• The core mechanisms in the standard — "Three-Zone Governance," "Source Grading," and "Full-Chain Traceability" — are highly consistent with the methodology New Galaxy AI uses in its daily services, and multiple mechanisms have already been implemented and validated in client projects.
• For New Galaxy AI, participating in drafting the standard is not about gaining a title — it is about transforming methodology validated in frontline practice into rules that the industry can reference.
• For clients, this means: New Galaxy AI deeply participated in the entire development process of T/CAPT 026—2026, has first-hand understanding of the standard's requirements, and can provide clients with GEO optimization services that align with the standard.

6. Frequently Asked Questions (FAQ)

Q1: What is T/CAPT 026—2026?

T/CAPT 026—2026, fully titled Specification for Trusted Information Dissemination and Information Ecosystem Governance of Generative Engine Optimization, was issued by the China Association of Press Technologists and led by Xinhuanet and the State Key Laboratory of Xinhua News Agency. According to Xinhuanet, it is China's first group standard for trusted dissemination in the GEO field. The standard was implemented on August 12, 2026, and officially published on the National Group Standards Information Platform on August 25, 2026.

Q2: What is the difference between a group standard and a national standard?

National standards are formulated by the administrative department of the State Council in charge of standardization and have legal effect. Group standards are independently formulated by social organizations and voluntarily adopted by enterprises.

After a group standard is published on the National Group Standards Information Platform, it completes the legal information disclosure procedure and can be publicly cited, written into contracts as a reference basis, and used as a judgment reference in disputes between parties.

Q3: How to distinguish white-hat GEO from black-hat GEO?

The judgment criterion is whether any of the following four red lines are crossed: corpus poisoning, answer hegemony, false consensus manufacturing, and prompt injection attack. Crossing any red line constitutes black-hat GEO.

Improving brand visibility in AI answers through legitimate content building, source quality management, and compliant dissemination strategies belongs to white-hat GEO; obtaining improper exposure through manipulating, deceiving, or polluting AI sources belongs to black-hat GEO.

Q4: How to implement "Three-Zone Governance" in practice?

Divide brand information into three bases: Fact Base, Opinion Base, and Marketing Expression Base.

Implementation follows four steps:

1. Inventory existing brand information and classify it into the three categories.
2. Annotate each piece of information in the Fact Base with a clear source and version.
3. Establish a marketing copy review mechanism to ensure that facts involved in the copy can be traced in the Fact Base.
4. Regularly update and maintain the three bases.

Q5: What should enterprises look for when selecting a GEO service provider?

Look at four dimensions:

1. Can it explain how its operations specifically comply with T/CAPT 026—2026 requirements?
2. Does it have full-chain monitoring capability and can it provide complete data with a unified statistical caliber?
3. Does the service provider's capability level (L1 Basic / L2 Professional / L3 Comprehensive Governance) match the enterprise's needs?
4. Does it have cross-industry implementation experience and verifiable cases?

Q6: What role did New Galaxy AI play in drafting the standard?

New Galaxy AI is one of the drafting units of T/CAPT 026—2026 and deeply participated in the entire standard development process.

As a frontline AI technology enterprise, New Galaxy AI brought the methodology, tool capabilities, and cross-industry experience accumulated in GEO optimization practice into the standard development. The core mechanisms in the standard — Three-Zone Governance, Source Grading, and Full-Chain Traceability — are highly consistent with New Galaxy AI's daily service methodology.

Q7: What should enterprises do after the standard takes effect?

Five things:

1. Self-audit existing GEO operations to check whether any of the four red lines are crossed.
2. Organize the brand information base according to the Three-Zone Governance principle.
3. When signing contracts with GEO service providers, stipulate that services be performed with reference to T/CAPT 026—2026.
4. Require service providers to provide full-chain monitoring data and a complete evidence chain.
5. Continuously monitor standard updates and industry compliance developments.

7. Action Guide

In the early stages of industry development, GEO optimization often competed on algorithm understanding and operational intensity. After the standard's publication, the core competitiveness of GEO promotion shifts toward trustworthiness, compliance, and content value.

The standard has been officially published on the National Group Standards Information Platform, and enterprises can choose an appropriate action path based on their own needs.

As a drafting unit of this standard, New Galaxy AI deeply participated in the standard's development process and will provide clients with GEO optimization, GEO promotion, and AI search optimization services that meet the standard's requirements.