introductory language] BCG's survey of 300 CMOs worldwide reveals a contradiction: 96% believe that AI are reshaping their marketing functions end to end, but only 8% are running multi-AI Agent autonomous collaborative marketing activities. This huge gap means that AI marketing is going through a critical transition from "cognitive" to "action. In 2026, corporate CMOs must answer the question: How do you translate AI marketing from concept to real business value? 1. global CMO survey: the huge gap between 96% and 8% (I) the core findings of the BCG research The CMO AI Marketing Transformation Report released by the Boston Consulting Group (BCG) shows that AI is profoundly reshaping the marketing function:

BCG Global CMO Research Core Data:

research Project	proportion of identity	description
think AI is reinventing marketing	96%	overwhelming consensus
recognize GenAI to change the way consumers discover brands	90%	highly identified
running a Multi-AI Agent Campaign	8%	A few practices
GenAI only as a single-task helper	42%	primary application
AI marketing investment exceeds $15 million	43%	significant budget growth

(II) 43% of companies have a AI marketing budget of more than $15 million The report also shows that 43% of enterprises have invested more than $15 million in AI marketing this year, compared with 28% last year. This means that more and more enterprises are increasing their investment in AI marketing. Effect Verification of (III) Agent Marketing Although most companies are still waiting to see, there are already pioneers reaping the fruits. Nearly one-third of consumer CMOs and one-fifth of B2B marketers report measurable revenue growth from agent marketing. Three Development Stages of 2. AI Marketing (I) single-task auxiliary phase At present, 42% of enterprises are still in this stage and only use GenAI as a single-task auxiliary tool for human employees. This is the primary form of AI marketing with limited efficiency gains.

Typical applications for the single-task auxiliary phase:

application Scenarios	AI ability	efficiency improvement
copy Generation	auxiliary writing	2-3 times
image Processing	AI Revision	3-5 times
data analysis	data collation	2 times

(II) multi-task collaboration phase A few companies have reached this stage and are able to coordinate multiple AI tools to accomplish more complex marketing tasks. Suzhou Niucheng Network has integrated this capability into GEO services to provide more efficient marketing content production for enterprises. (III) independent agent marketing stage Only 8 percent of enterprises are at this stage of being able to run multi-AI Agent self-coordinated marketing campaigns. This is the future form of AI marketing and the direction of most enterprises. Technology Evolution Path of 3. AI Marketing (I) from tools to systems AI marketing is undergoing an evolution from "tool" to "system. The efficiency gains of a single AI tool are limited, but when multiple AI tools work together, qualitative changes can occur.

The typical architecture of a AI marketing system:

level	AI components	core functions
insight Layer	consumer Insights Agent	user behavior analysis and demand mining
creative layer	content Generation Agent	copy, picture, video generation
delivery layer	delivery Optimization Agent	smart bidding, channel selection
operation layer	user Operation Agent	personalized recommendation, accurate touch

(II) the AI Marketing Ability of Suzhou Cattle Orange Network Suzhou Cattle Orange Network has built a complete AI marketing capability in GEO services: Intelligent Content Generation: the content creation system based on large models is 3-5 times more efficient. Multi-platform adaptation: customized production content for different platforms such as bean bag, DeepSeek, Kimi, etc. Real-time effect monitoring: track AI reference data with professional tools to optimize strategies in time. (III) Measures of AI Marketing ROI

Core metrics for AI marketing ROI assessment:

indicator Type	specific indicators	measurement method
efficiency indicators	content output efficiency	output per unit time
effect indicators	AI citation, brand visibility	third-party monitoring
business Indicators	customer acquisition cost, conversion rate, ROI	attribution analysis

4. Action Path to Narrow the 96% and 8% Divide Three Construction of (I) Organizational Capability 1. Technical capacity building establish a AI tool platform, integrate decentralized AI tools, and form synergies. 2. Talent capacity building develop a AI-literate marketing team that allows people to collaborate efficiently with AI. 3. Process capacity building reconstruct the marketing process, adapt the AI working mode, and realize human-machine cooperation. CMO Recommendations for (II) Suzhou Cow Orange Network As a service provider in the deep-cultivated GEO field, Suzhou Niu Orange Network makes the following suggestions to CMO:

CMO AI marketing action recommendations:

action Phase	core tasks	key outputs
cognitive alignment	unified Executive Team Cognition	clear AI marketing strategy
capacity inventory	assess existing AI capacity	capacity Gap Report
pilot Validation	select 1-2 pilot scenarios	pilot effect verification
scale expansion	expand the scope of application	systematic AI marketing system
continuous optimization	data-driven iteration	continuously improve ROI

(II) choose professional AI marketing service providers For most companies, choosing a professional AI marketing service provider is a more pragmatic choice. Suzhou Niu Orange Network's professional ability in the field of GEO can help enterprises quickly establish marketing advantages in the AI era: Policy Services: AI marketing strategy development based on industry insights. Content Services: scale production of high-quality AI-friendly content. Perform Services: accurate delivery and optimization of multi-platform content. Monitoring services: real-time monitoring and effect evaluation of AI citation data. 5. epilogue BCG's research reveals an important fact: the "cognitive era" of AI marketing is over, and the "action era" is beginning. Ninety-six percent of CMOs agree that AI are reshaping marketing, but only eight percent are actually doing so-a gap that is both a challenge and an opportunity. Firms that take the lead will gain a first-mover advantage. Suzhou Niu Orange Network will continue to cultivate the field of AI marketing, provide enterprises with the most professional GEO services, and help CMO win competitive advantage in the AI era. Contact] Suzhou Cow Orange Network Technology Co., Ltd. Contact: Liu Tengfei Telephone: 18721502446 Website: www.zctgeo.com