The Traffic Code in the AI Search Era: Becoming the Preferred Brand for Large Models | Mati Club AI/GEO Deep Dive

[Ebrun Original] With the explosive evolution of large language model (LLM) technology, the fundamental logic of global commercial reach is undergoing a transformation unseen in a decade.

According to predictions by the authoritative international institution Gartner, by 2028, a staggering 50% of traditional search engine traffic will be eroded by AI search. Under this irreversible trend, the user's transaction journey of "query-recommendation-decision-payment" is being compressed to its limits. For brands, the chatbot has become the "new prime real estate" that must be seized, while prompts have evolved into the "new shelf" for displaying core products.

However, faced with this entirely new AI traffic landscape, the vast majority of enterprises find themselves in strategic confusion. On one hand, the trust mechanism of large models is an ultimate "black box," rendering traditional SEO tactics based on keyword stuffing completely ineffective. On the other hand, the market is flooded with black/gray hat operations that profit from methods like mass publishing and automated content feeding, which not only fail to deliver substantive conversions but also risk long-term repercussions such as model de-ranking and damage to brand equity. In the AI era, brands not prioritized by large model recommendations face an extremely high risk of being relegated to obscurity or even experiencing a form of "digital demise."

To help brands break through this traffic anxiety, Mati Club has partnered with leading technology pioneers in the domestic Generative Engine Optimization (GEO) field—Google and Pureblue AI—to launch this in-depth, closed-door deep dive session to decode the scientific black box of GEO.

In this session, we will completely deconstruct the black box of large model recommendations behind closed doors, moving away from ineffective execution based on blind probability bets. Through cutting-edge scientific "model-driven" methodologies and the dissection of practical case studies, we aim to help Mati Club brand decision-makers reconstruct their marketing cognition for the GEO era and build an unbreakable new brand moat in the AI age.

Date: June 12, 2026

Location: Hangzhou (to be notified upon registration)

Participants: Member companies of Mati Club

Agenda

09:00- 09:30 Registration

09:301- 10:00 Ice-breaking and self-introductions

Self-introduction: Who am I? What is my core focus area? What is the absolute differentiation of my product?

Ice-breaking topic: In the AI era, what is the one question you most hope your consumers would type into a dialog box to precisely lead them to your brand?

10:00- 11:30 Closed-door exclusive session

"AI in Google Search"

Guest Speaker: Google Marketing Expert

11:30- 12:00 Q&A and interactive discussion

13:30- 15:00 Closed-door exclusive session

"The Underlying Logic of Brands Being 'Preferred' in Large Model Search"

Guest Speaker: Lu Yang, Founder and CEO of Pureblue AI

15:00- 15:30 Q&A and interactive discussion

15:30- 16:30

"Dissection of Practical Case Diagnosis Reports"

Guest Speaker: Lu Yang, Founder and CEO of Pureblue AI

16:30- 17:00 Q&A and interactive discussion

Keynote Speaker

Lu Yang

Founder and CEO of Pureblue AI

A graduate of the Chinese Department at Tsinghua University, with 20 years of deep experience in the technology sector. Formerly served as the General Manager of Volcano Engine Marketing at ByteDance and the Head of Marketing for the Doubao Large Model, having personally witnessed the evolution of the underlying commercial logic of large models. Previously acted as a consulting expert for IBM's "Huawei MTL Project."

As one of China's first MarTech practitioners, Lu Yang astutely entered the GEO field during the investment winter. He innovatively introduced the "factor mining" approach from quantitative investing into AI marketing, using proprietary algorithms to decrypt large model algorithms, thereby pushing the industry from traditional SEO based on blind probability bets towards a scientific, precise, model-driven GEO approach. He has been honored as one of China's Top 10 Chief Brand Officers in 2023 and the Annual Figure of the 15th Golden Rooster Awards, serves as a judge for authoritative marketing awards such as the Golden Rooster Awards and the Golden Craftsman Awards, and is a co-editor of industry monographs like "To B Growth in Practice."

For registration details, please consult Mati Club staff.