First Insight | “CAAC Brand Globalization Handbook 2.0” Released — GIMC Accelerates Global Expansion with AI Innovation

  • Corporate Dynamics

Recently, the “CAAC Brand Going Global Manual 2.0” (hereinafter referred to as “Manual 2.0”), which was compiled under the leadership of the Brand Going Global Ecosystem Working Committee of the China Business Advertising Association (hereinafter referred to as “Going Global Committee”) and with the participation of Guangdong Advertising Group, was officially released at the 2025 China Digital Marketing Summit.

2Insight | CAAC Brand Globalization Handbook 2.0: AI-Powered Strategies for the Next Phase of Global Expansion

The “CAAC Brand Globalization Handbook 1.0,” released in 2024, provided a panoramic perspective to help enterprises answer a fundamental question: how to go global.

This year, the Handbook 2.0 takes “AI-empowered global branding” as its core theme, addressing 20 key questions—from macro trends to practical execution. It offers a comprehensive framework that spans awareness, strategy, execution, and optimization, equipping businesses to navigate a new era shaped by AI.

GIMC’s Contribution: Driving AI-Powered Global Growth

As one of China’s earliest marketing groups to expand globally—and a council member of the CAAC Globalization Committee—GIMC played a key role in the development of both editions.

In Handbook 2.0, GIMC contributed strategic insights and practical solutions across key topics such as:

  • AI-powered brand globalization
  • AI-driven content production transformation

Drawing on extensive real-world experience and forward-looking technological capabilities, GIMC supports Chinese enterprises in building future-ready global competitiveness.

I. From “Price-Driven Expansion” to “Value-Driven Growth”

Handbook 2.0 highlights several challenges currently facing global expansion:

  • Rising global trade uncertainty
  • Increased tariffs in certain markets impacting profitability
  • Stricter platform compliance raising operational complexity

These pressures have led some companies to temporarily scale back investment. At the same time, they are accelerating transformation—expanding into diversified markets such as Southeast Asia and the Middle East, while prioritizing brand upgrading and digital intelligence as key growth drivers.

GIMC supports this transition through proprietary AI tools such as Lingxi Global, Lingxi AI, and Lingxi Business Management, enabling:

  • Automated media buying across Meta, Google, and TikTok
  • Cost optimization through data-driven execution
  • Localization across content, teams, and services

This helps brands move beyond price competition toward value-driven growth, strengthening both brand influence and consumer perception.

Strategic Recommendations for Future Growth

GIMC outlines three key directions for global expansion:

  1. Shift from product export to brand globalization, emphasizing cultural expression
  2. Leverage AI to enhance marketing intelligence and content efficiency
  3. Expand into diversified markets while strengthening localized operations
II. AI as the Core Driver of Global Creative Systems

Artificial intelligence is fundamentally reshaping the creative production landscape for global brands.

With the maturity of AIGC technologies, AI has evolved from a supporting tool into a core production engine—enabling:

  • Scalable generation of text, images, and video
  • Cross-cultural content adaptation
  • Continuous optimization through feedback loops

Today, AI is primarily applied in:

  • Multi-language content generation
  • Cross-cultural visual creativity
  • Data-driven creative optimization

Key Challenges in AI-Driven Creativity

Despite its potential, AI still faces several limitations in global marketing:

1. Limited Cultural Understanding

AI models are largely trained on English-language data and may lack sensitivity to local cultures, religious norms, and aesthetic preferences.

2. Risk of Content Homogenization

Template-driven outputs can lead to repetitive content, weakening brand differentiation.

3. Misalignment with Brand Strategy

Without a unified strategic framework, AI tools may be used in isolation—hindering cohesive brand storytelling and long-term asset building.

From Tool-Driven to Strategy-Led AI

These challenges highlight the need to shift from tool-driven usage to strategy-led AI integration, combining human creativity with machine intelligence to align content with brand value.

Lingxi AI: Powering Intelligent Content Production

GIMC’s proprietary Lingxi AI is designed specifically for advertising and creative workflows, covering:

  • Text, image, and video generation
  • Data analysis and optimization

In 2025, Lingxi AI achieved:

  • 100% adoption across internal workflows
  • 191% improvement in creative efficiency
  • 62.5% asset adoption rate

It has also successfully empowered clients across multiple industries to scale content production and improve marketing performance.

III. How AIGC is Reshaping Brand Content Production

In a global marketing environment defined by multi-market and multi-language demands, traditional content production is often costly, time-consuming, and difficult to scale.

Powered by large AI models, AIGC enables rapid, large-scale production of text, visuals, and video, while forming an intelligent closed loop of creation, testing, and optimization.

Its core value lies in three key areas:

  • Cost reduction and efficiency improvement
  • Scalable content production
  • Rapid localization across markets

Key AIGC Application Scenarios in Global Marketing

1. Advertising Creative Production

In programmatic and performance advertising, AIGC can automatically generate and adapt ad copy, key visuals, and video assets based on different markets, languages, and audience profiles—enhancing both relevance and efficiency.

2. Social Media Content Operations

For platforms such as Facebook, Instagram, TikTok, and YouTube, AIGC enables large-scale content creation, including:

  • Short-form video scripts
  • Cover visuals
  • Hashtags and captions
  • Engagement-driven comment responses

This significantly increases content output frequency and interaction efficiency.

3. Creative Validation & A/B Testing

By generating multiple creative variations at scale, brands can rapidly conduct A/B testing on key metrics such as CTR and conversion rate.

This iterative approach:

  • Shortens validation cycles
  • Reduces testing costs
  • Improves targeting precision and campaign performance
4. Asset Management & Content Accumulation

AI-generated content is not only used for immediate campaigns, but also contributes to a reusable content asset library.

Through tagging systems, data feedback loops, and version management, brands can systematically organize creative assets—enabling cross-project and cross-market reuse and optimization.

GIMC Practice: Building an Intelligent Creative Ecosystem

As a leading application of AIGC in marketing, GIMC integrates text, image, and video generation into a unified creative workflow through Lingxi AI, combined with data-driven optimization capabilities.

This creates a full-cycle intelligent system of:
creation → deployment → iteration → regeneration

In practice, Lingxi AI has successfully supported multiple global campaigns.
For example, in North America, it enabled brands such as Enerjoy and Xingchuang to rapidly generate and validate creative assets—significantly improving both campaign efficiency and localization performance.

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