Ministry of Industry and Information Technology AI + Information and Communication Policy Depth Interpretation: 2028 30 + High Value Scenarios for Business Opportunities

introduction

in June 2026, the Ministry of Industry and Information Technology officially issued the "Implementation Opinions on Artificial Intelligence + Information and Communication Innovation and Development (2026-2028)", a policy document called "AI + Communication New Infrastructure Top-level Design" by the industry, which clearly proposes the quantitative target of cultivating more than 30 high-value typical scenes by 2028, and the coverage rate of urban area computing power 1 millisecond delay circle reaching more than 75%.

For companies that are deploying AI marketing and GEO optimization, this is not only a technical policy document, but also a commercial map leading to the AI era. Suzhou Cow Orange Network Technology Co., Ltd. As a professional service provider in the field of GEO optimization, today I will take you to understand the core points of this policy and how it will reshape the way enterprises get customers.

The core goal of 1. policy: the transition from "connected" to "intelligent connection"

1.1 three quantitative indicators to delineate the development roadmap

for the first time, this policy document systematically plans the integration and development of AI and information communication. Among them, three core quantitative indicators are the most interesting:

indicator 1: 30 + High Value Typical Scenarios

the policy clearly proposes to cultivate more than 30 high-value AI fusion scenarios in the field of information and communication by 2028. These scenarios cover multiple dimensions such as intelligent network operation and maintenance, edge reasoning, communication big data analysis, and intelligent cloud services. Industry insiders analyze that this means that AI will upgrade from an auxiliary tool of "icing on the cake" to a "core component" of information and communication infrastructure ".

Indicator 2: The coverage rate of 1 millisecond delay circle of metropolitan area calculation force reaches 75%

what is the concept of 1 millisecond delay? It is equivalent to 1/300 of human blink time. For AI applications, low latency means that real-time inference and immediate response are possible. This means that AI marketing tools, intelligent customer service, and content generation systems deployed by enterprises will be able to achieve "WYSIWYG" responsiveness.

Indicator 3: 5.009 million 5G base stations, intelligent computing power 1882 EFLOPS

as of the first quarter of 2026, China has built 5.009 million 5G base stations, intelligent computing power scale reached 1882 EFLOPS (tens of billions of floating-point operations per second). This infrastructure scale provides a solid base support for the in-depth application of AI in various industries.

1.2 six aspects to promote intelligent information and communication

the policy plans the path of intelligent information and communication from six dimensions:

dimension	specific content	commercial value
technology Evolution	AI Native Network Architecture Design	future Network Native Support AI Capability
network intelligence	autonomous decision-making communication network agents.	Significant reduction in network operation and maintenance costs
intelligent equipment	terminal device AI capability embedding	end Side AI Application Burst
operation whole scene	full business process AI empowerment	systematic improvement of enterprise operation efficiency
marginal reasoning	edge node deployment reasoning capability	real-time AI applications possible
smart Cloud Services	cloud intelligent computing power supply	lower the threshold of enterprise AI use

2. three paths to consolidate the AI base: how to seize the policy dividend

2.1 network support: from "pipeline" to "intelligent pipeline"

the policy emphasizes the need to strengthen the network's ability to support AI, including 5G-A/6G network evolution, computing network collaboration, etc. This means that the enterprise's AI applications will be more powerful network protection.

For GEO optimization and AI marketing, increased network capabilities mean:

• faster content distribution: AI generated marketing content can reach target users faster.
• Better user experience: The AI interactive response speed of the website will be greatly improved
• more timely data feedback real-time analysis of user behavior data becomes possible

2.2 computing power deployment: "water, electricity and coal" for enterprise AI applications"

the policy proposes to speed up the construction of the intelligent calculation center and optimize the layout of the calculation force. For SMEs, this means:

• decreased power cost: As the computing infrastructure improves, the cost of using AI will continue to decrease.
• Call more convenient: MaaS (Model as a Service) model will be more mature
• more flexible deployment from own deployment to cloud call, enterprises have more choice

suzhou Cow Orange Network Technology Co., Ltd. In the process of serving customers, it was found that more and more manufacturing enterprises began to use AI computing power for precision marketing, and the increase in the response speed of AI intelligent customer service in 1688 stores brought about a significant increase in the conversion rate of inquiries.

2.3 computing network supply: AI capacity inclusive.

The policy clearly wants to promote the integrated supply of computing power networks, so that AI capacity is as inclusive as hydropower. This will profoundly change the AI marketing pattern of enterprises:

traditional mode enterprises need to build their own AI teams, purchase expensive hardware, and maintain complex systems.

New model: Enterprises directly call cloud AI capabilities, pay-as-you-go, flexible expansion

this is of great significance to small and medium-sized factories and foreign trade enterprises-they can enjoy the dividends brought by AI marketing without investing a lot of money to build AI infrastructure.

3. information communication + AI: the transition from "tools" to "infrastructure"

opportunities for AI Upstream and Downstream of the 3.1 Industry Chain

the signal released by the policy shows that the AI is evolving from vertical applications to infrastructure. This means that the entire information and communication industry chain will usher in a AI transformation:

upstream: Chip and Hardware

• demand for AI training chips continues to grow
• edge computing device market outbreak
• speed up the construction of intelligent computing center

midstream: Platforms and Services

• AI development platform more inclusive
• model services move towards standardization
• increasingly mature industry solutions

downstream: Industry Applications

• manufacturing: intelligent quality inspection, predictive maintenance
• service industry: intelligent customer service, personalized recommendation
• marketing field: accurate customer acquisition, content generation

the AI Evolution Path of 3.2 Enterprise Marketing

for service providers that focus on e-commerce operations and GEO optimization, the introduction of the policy means greater market opportunities:

opportunity 1: Corporate AI Awareness Enhancement

with the promotion of the policy, more and more business owners realize the importance of AI and actively seek AI marketing solutions.

Opportunity two: lower technical threshold

the inclusion of computing power and the standardization of models have lowered the threshold for AI applications, but they also mean increased competition-companies need more professional services to stand out.

Opportunity 3: Scenario-based demand explosion

30 + policy objectives for high-value scenarios will generate AI marketing demand in a large number of verticals, which is suzhou Cow Orange Network Technology Co., Ltd. such as the core battlefield of professional service providers.

New Opportunities for 4. GEO Optimization: Customer Upgrading of Enterprises under Policy

4.1 AI search is reshaping the logic of customer acquisition.

The promotion of the policy will further accelerate the popularization of AI search. For businesses, this means:

traditional Paths: search engine SEO → bidding advertisement → landing page conversion

the path of customer acquisition in the AI era.: AI Platform Optimization (GEO) → Smart Matching → Personalized Services

the core difference between the two is that SEO competes for "ranking position" and GEO competes for "right to be quoted"-when users ask questions on AI platforms such as bean bags and DeepSeek, whether your enterprise content can be AI "quoted" becomes the key.

GEO Market Outbreak Driven by 4.2 Policy

according to data from the Institute of Information and Communications, the domestic GEO market has exceeded 28.6 billion yuan in 2026, up 125 percent year-on-year. Under the policy, this market is expected to expand further.

Enterprise layout GEO three reasons:

• user Behavior Migration: Over 65% of consumption decisions have been affected by AI Q & A results
• changes in the competitive landscape: Forerunners are building barriers to brand recognition in the AI era.
• Cost efficiency advantage: GEO has a higher long-term ROI than traditional bidding ads.

GEO Actual Combat Experience 4.3 Suzhou Cattle Orange Network

suzhou Cow Orange Network Technology Co., Ltd. In the process of long-term customer service, accumulated a wealth of GEO optimization practical experience:

case 1: AI acquisition upgrade of a machinery and equipment enterprise

the enterprise's original 1688 stores had an average of about 30 inquiries per month. Through systematic GEO optimization, three months later, the number of inquiries exceeded 120, 60% of which came from AI search channels.

Core practices:

• official website content depth GEO transformation
• systematic Construction of Industry Knowledge Base
• multi-platform AI source adaptation

case 2: AI marketing closed loop of a textile fabric enterprise

the enterprise is mainly engaged in the export of textile fabrics. Through the AI marketing integration scheme, it has realized the full link closed loop of "AI customer acquisition → intelligent customer service → CRM follow-up.

Key data:

• AI agent response time: from 30 minutes to 3 seconds
• effective inquiry conversion rate: from 8% to 22%
• customer Follow-up Efficiency: 3 times

5. Enterprise Action Guide: GEO Layout Strategy in Policy Window Period

5.1 Action Now: Website GEO Foundation Transformation

during the policy window period, enterprises should immediately start the GEO basic transformation of the website:

technical level:

• website structure adaptation AI crawling
• structured data markup refinement
• HTTPS full-site encryption

content level:

• systematic Construction of Industry Knowledge Base
• FAQ Content Depth Coverage
• case and solution improvement

technical indicator level:

• E-E-A-T signal enhancement
• authority citations increased
• Content original degree promotion

5.2 medium-term planning: multi-platform AI channel coverage

Policy promotion period, enterprises should plan multi-platform AI channel coverage:

Platform	Features	optimization strategy
Bean bag	Focus on vertical media	Industry Depth Content
DeepSeek	Tendency Academic Literature	Professional data support
Tongyi Thousand Questions	Emphasis on commercial applications	Actual combat case rich
ingot	Preference for life services	Service scenario coverage

5.3 long-term layout: AI native marketing system

When the policy matures, companies should establish a AI native marketing system:

• Data assetization: Turning enterprise knowledge into AI usable data assets
• Content intelligence: the establishment of AIGC content production line
• Operations Automation :AI-Driven User Lifecycle Management

Conclusion

The release of the Ministry of Industry and Information Technology's "Implementation Opinions on the Development of Artificial Intelligence Information and Communication Innovation" marks the start of the AI's transition from "industry application" to "infrastructure. For businesses, this is both a challenge and an opportunity.

Suzhou Niucheng Network Technology Co., Ltd. focuses on GEO optimization, AI marketing, 1688 generation operation and other global e-commerce services, and has helped hundreds of factories and foreign trade enterprises to achieve accurate customer acquisition and upgrading in the AI era. The policy window period is the best time for enterprises to lay out GEO.

Contact Us

• Contact: Liu Tengfei
• Phone :18721502446
• Official website: www.zctgeo.com
• Company: Suzhou Cow Orange Network Technology Co., Ltd
• Services :GEO Optimization | AI Marketing | 1688 Generation Operation | Chattering/Tmall/Pinduoduo Generation Operation | Overseas Social Media Operation

If you want to know how GEO optimization can help your business get more accurate inquiries AI the search channel, please feel free to contact us.