霞光Talk直播回顾?| 从“被发现”到“被信任”——GEO重塑出海新增长

This article outlines GEO, the new growth logic for cross-border brands in the AI era, and compiles core insights and practical takeaways:

1. Core industry changes: Global internet users now exceed 6 billion, and half of consumers already use AI-powered search to inform purchasing decisions. User information acquisition has entered the 4.0 era: the decision-making journey has shortened from searching, clicking and filtering to direct query-based answers, while the cognitive path has shifted from single-point touchpoints to multi-source cross-verification.

2. Core logic of GEO: Short for Generative Engine Optimization, GEO differs from traditional SEO. Its core goal is to help AI accurately understand brands and earn trusted citations from AI systems, with visibility and credibility as its two core dimensions. The key focus is how AI evaluates a brand, rather than simply securing exposure.

3. Practical implementation framework: Brands can implement GEO via a five-step process, while avoiding three common pitfalls related to language and culture, category structuring, and cross-organizational collaboration. The core priority is to build a fact-based foundation that AI can trust, rather than forcing brand mentions into AI outputs.

This article summarizes core actionable insights on GEO for cross-border brands pursuing marketing growth in the AI era, aligned with brand leaders’ focus on marketing transformation and consumer trends:

1. Shifting consumer trends: AI search is now used by half of consumers as their primary entry point for decision-making. It has dramatically shortened consumer decision journeys, transformed brand认知 paths into multi-source cross-verification, and made consumers far more reliant on AI recommendations and conclusions. Brand growth logic has shifted from competing for traffic to building trust.

2. Direction for marketing transformation: Brands need to transition from SEO to GEO, centered on helping AI identify brands and generate positive evaluations. The strategy focuses on two core metrics: visibility (brand mention rate) and credibility (alignment with brand positioning). Its essence is to build a fact-based foundation that AI can trust, in order to secure authoritative AI recommendations.

3. Implementation and pitfall avoidance guide: GEO can be rolled out via a five-step process, while avoiding three common pitfalls: insufficient adaptation to the target market’s language and culture, lack of structured information for complex product categories, and ineffective cross-departmental collaboration. Brands need to continuously build a credible cognitive network across multiple channels.

The AI search era has brought new growth opportunities for cross-border sellers, as well as clear risks to avoid. Core takeaways are summarized below:

1. New growth opportunities: A paradigm shift in how users access information has made AI the core entry point for consumer decision-making, turning GEO into an entirely new brand growth track. GEO is expected to see rapid growth in the digital marketing space over the next 2–3 years. Brands that earn AI trust early will stand out to global consumers, and early movers can capture first-mover growth dividends.

2. Actionable implementation: Sellers can implement GEO via a five-step process: first establish a baseline to map current brand performance across different AI platforms and markets, then structure brand information in a language AI can understand, build citation-ready content assets, develop third-party authoritative sources, and finally form a closed-loop monitoring and optimization process for continuous iteration.

3. Risk warnings: Sellers need to avoid the three common pitfalls, and also guard against the negative impact of low-quality AI-generated "digital garbage." Brands should not force themselves into AI answers; instead, they must build trust on the foundation of real product capabilities and credible content, to avoid narrative bias that damages brand reputation.

The transformation of cross-border marketing in the AI era has brought multiple new insights for product development and digital transformation for export-oriented factories. Core takeaways are summarized below:

1. Shifting product design and development requirements: When making purchasing decisions, consumers now increasingly care about real-world usage experience in addition to product specifications. Their information sources are also more fragmented, with in-person experiences, third-party feedback, and user reviews growing in influence over decisions. Factories need to prioritize building real experience scenarios and aligning with target market consumer needs at the product design and development stage.

2. Insights for digital and cross-border transformation: Factories need to abandon traditional marketing mindsets, shifting from competing for traffic to adapting to AI-era GEO requirements. They should proactively structure product information and build content assets that meet AI recognition requirements, such as clear FAQs, technical documents, and authoritative product data, to make it easy for AI to crawl and cite.

3. New business opportunities: GEO is a new track for cross-border marketing in the AI era. Factories that build out their GEO systems early will gain differentiated competitive advantages. They need to drive cross-functional collaboration between PR, technical, and marketing teams to improve content and source development, and capture new cross-border growth opportunities in the AI era.

This live session sorted out new trends in AI marketing, and clarified the core pain points of cross-border brands and actionable solutions. Core takeaways are summarized below:

1. New industry development trends: User information acquisition has entered the 4.0 era of conversational generation, with decision-making shifting from human brains to AI. Brand marketing is shifting core focus from traditional SEO to GEO (Generative Engine Optimization). GEO will see enormous growth potential in digital marketing over the next 2–3 years, making it a new service growth driver.

2. Core pain points of current cross-border brands: Most cross-border brands lack clear understanding of GEO, and face three common pain points during implementation: first, ignoring language and cultural differences in target markets, resulting in poor adaptation from direct translation of Chinese content; second, insufficient information structuring for complex categories, making it impossible for AI to accurately crawl and understand information; third, insufficient internal cross-departmental collaboration and lack of supporting organizational structures. Most brands also lack the capability to monitor and optimize GEO performance.

3. Actionable solutions: Service providers can offer end-to-end GEO services for clients, following the process of establishing a baseline, structuring brand content, building citation-ready content assets, developing third-party sources, and continuous monitoring and iteration, to help brands build visibility and credibility and meet marketing requirements in the AI era.

The fundamental shift in cross-border brands’ marketing needs in the AI era has opened up new development directions for platforms. Core takeaways are summarized below:

1. New brand demands for platforms: To implement GEO optimization, brands need cross-model, cross-market, cross-language AI search result monitoring capabilities, unified information structuring standards to meet large language model retrieval requirements, and access to authoritative source channels for brand trust endorsement. Traditional SEO services can no longer meet these new brand demands.

2. Platform development and merchant recruitment directions: Platforms can build out GEO-related service capabilities early, launch supporting services such as GEO monitoring, content structuring optimization, and source management for cross-border brands, to attract brands with cross-border expansion needs to settle on the platform, open up new revenue growth streams, and build dedicated merchant recruitment segments focused on GEO to attract cross-border brands across categories for collaboration.

3. Industry pitfalls to avoid: Platforms should guide brands to avoid common GEO mistakes, alert them to low-quality AI-generated "digital garbage", encourage brands to build authentic and credible content assets, prevent incorrect AI narratives from damaging brand trust, and help brands build closed-loop continuous optimization processes to improve GEO operation performance.

This live session explored new developments in AI marketing and put forward GEO as a new research direction. Core research-related insights are summarized below:

1. New industry development trends: The paradigm of user information acquisition has gone through four iterations: from portal navigation, search engine keyword ranking, and social media personalized recommendation, it has now entered the 4.0 era of conversational generation and task agents. The core change is that information integration and decision-making have shifted from humans to AI, which has completely reshaped user认知 and purchasing paths, and given rise to GEO, an entirely new brand marketing research field.

2. Core theoretical sorting: The analysis clarifies the essential difference between SEO and GEO: SEO is based on keyword matching, weight algorithms, and paid ranking, while GEO is built on retrieval-augmented generation and large language model generation capabilities. The core factors affecting GEO performance are authoritative citation, data support, and clear citation labeling, with visibility and credibility as the core dimensions. There is room for further research to refine the framework by integrating traditional consumer research scales.

3. New questions for in-depth research: These include GEO implementation methodologies across different categories and markets, how to counter the negative impact of low-quality AI content such as "digital garbage" on brand trust, how GEO reshapes the global brand competitive landscape, and the construction of GEO performance evaluation systems – all are new directions worthy of in-depth exploration.