CanWin AI Founder Xie Kangli Shares Practical GEO Experience at Dark Horse AI Planet's Chengdu Closed-Door Salon

Background

On July 11, 2026, the “How to Use AI to Unlock 10x Growth” closed-door event, hosted by Dark Horse AI Planet, was held in Chengdu. CanWin AI founder Xie Kangli was invited as a guest speaker and presented on traffic shifts in the AI search era, brand representation and practical Generative Engine Optimization (GEO), an approach to improving brand visibility in generative AI answers.

The event brought together three practitioners in enterprise AI growth. In addition to Xie Kangli, Kidswant CTO Wang Hailong shared how the large retail company uses AI for membership marketing, targeted outreach and customer operations. AIlpha Aike founder and CEO He Jianxing, who has seven years of experience at Alibaba, explained how AI can rebuild customer acquisition and conversion through public-platform content matrices, always-on livestreaming, and customer operations and sales through owned channels.

According to the on-site presentation, Kidswant has 50 million registered members and more than 1,000 stores, making it a representative example of AI transformation in Chinese retail. By placing large-scale retail AI practice, AI marketing-system reconstruction and GEO-driven customer acquisition on one agenda, the event presented a complete growth chain from internal efficiency to external traffic acquisition and visibility in AI-generated recommendations.

During “Deploy GEO: Build Visibility in AI-Driven Customer Discovery,” Xie Kangli stated: AI search is changing not only search tools, but also how users make decisions.

In the past, consumers used search engines to find information and compared multiple web pages. Today, more users ask Doubao, DeepSeek, Qwen, Yuanbao, Kimi and other AI platforms directly, allowing AI to organize information, compare options and recommend products.

As AI becomes connected with e-commerce, maps and local-services ecosystems, its role is moving from providing information to supporting decisions, with growing influence on transactions. Companies will therefore compete not only for search rankings, but for inclusion in AI-generated recommendations for specific people and needs.

Xie views GEO not as publishing a few articles or pursuing a short-term traffic tactic, but as a structured approach to managing how AI systems understand and represent a brand. Companies need to organize their brand positioning, product information, customer cases, professional capabilities and credible evidence into a brand knowledge system that AI can understand, cite, trust and recommend.

AI recommendations are also highly personalized. Different users asking questions in different situations may receive different answers. The real objective is to secure a recommendation position for a specific target audience in a specific decision scenario, rather than demand identical answers on every device.

For B2B companies, GEO should focus on professional trust, case evidence and competitor comparisons. For B2C companies, as AI platforms connect with e-commerce and local services, product information, store data, user reviews and content structure will affect whether a brand is recommended and can support downstream conversion.

With GEO services currently priced from several thousand yuan to more than one million yuan, Xie cautioned that companies should not expect a complete GEO system from the budget for a low-cost press-release service. Professional GEO requires diagnosis, brand knowledge construction, content production, coverage in authoritative sources, channel distribution, and continuous monitoring and optimization.

Thirty days can show whether AI answers have changed, but cannot directly demonstrate a revenue change. Business outcomes still depend on products, channels, sales follow-through and organizational execution.

Companies seeking a systematic understanding of GEO customer acquisition can attend the CanWin AI GEO Bootcamp: Build Visibility in AI-Driven Customer Discovery. Xie Kangli leads founders and senior executives through practical work designed to clarify AI-era business change, seize customer-acquisition opportunities and work toward a 10x efficiency leap.

When this article was published, the announced offline session was scheduled for July 18–19, 2026. Details: July 18–19 Course Preview | GEO Bootcamp: Build Visibility in AI-Driven Customer Discovery

CanWin AI

CanWin AI focuses on restructuring enterprise AI + marketing operations. With deep experience in food, FMCG, chains and other consumer sectors, it helps companies rebuild marketing growth systems with AI. Its proprietary CanWin AI Cloud Marketing Department supports enterprise AI strategy, GEO systems, AI content marketing systems—including Xiaohongshu matrices, batch short-video production and WeChat content automation—and digital employee training. Through AI training, AI tools and AI transformation consulting, CanWin AI helps companies rebuild growth with the goal of achieving a 10x efficiency leap in the AI era.

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