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Pang Pei Releases CBVI Annual Observation: When Brands Become "Invisible" in AI Answers, Market Positions Are Being Quietly Redrawn

A household name in the real world may be nonexistent in AI-generated answers.

This is not a hypothesis but a reality unfolding now. Pang Pei, member of the Cultural Committee of the Central Committee of the China Zhi Gong Party, Dean of the CCTV New Pictures GEO Research Institute, and Chief Designer of the AI Cognitive Index (AICI) Evaluation System, recently revealed a "cognitive gap" overlooked by most brands in the annual observation of the "China Brand AI Visibility Index (CBVI)" released by his team: a significant number of brands with considerable market share in traditional markets are either marginalized or simply "invisible" in the generated content of mainstream AI large models.

"Your brand may be big, but AI doesn't know you at all—this is no joke, but the most insidious business risk in the AI era," said Pang Pei.

I. Brand "Invisibility": An Unfolding Business Reality

The first CBVI panoramic ranking covers approximately 2,100 representative Chinese brands across 14 major industries, with data collected from 15 mainstream global AI large models. The evaluation results reveal a disparity that cannot be ignored.

In several consumer goods categories, brands that lead in sales volume through offline channels and traditional e-commerce have a much lower appearance rate in AI recommendations compared to their market share. When users ask AI questions like "Recommend a good domestic skincare product" or "Which air conditioner brand offers the best value for money," the recommendation lists provided by AI show a significant deviation from the actual market landscape.

"This isn't AI 'deliberately' ignoring anyone, but rather the Retrieval-Augmented Generation (RAG) architecture of AI inherently favors authoritative, structured, and continuously updated content," explained Pang Pei. "If a brand's information isn't fed into high-weight sources in a way AI prefers—such as reports from national media, citations in industry white papers, or data from authoritative third-party evaluations—then no matter how high its offline awareness is, it may be 'nonexistent' in the world of AI."

He further pointed out that this phenomenon had already shown signs in the "search era," but its consequences are far more severe in the "AI era." "In the search era, a brand might rank lower but still exist; users could find you by flipping through a few pages. In the AI era, answers only push a few options. If you're not on the recommendation list, you simply don't exist at the most convenient cognitive entry point for users."

II. The Remembered and the Forgotten: A New Brand Divide Is Forming

CBVI evaluation data reveals a clear pattern of "cognitive stratification":

First Tier: Cognitively Parasitic Brands. In sectors like new energy vehicles, 5G communications, consumer electronics, and home appliances, some leading brands have formed a "cognitive parasitic" effect within their core categories—AI-generated answers would seem incomplete without referencing these brands. They are not only widely mentioned but also cited as industry benchmarks.

Second Tier: Stably Present Brands. These brands have stable visibility and citation rates in AI. Their core information is accurately described, and they are included in recommendations for specific scenarios. However, they have not yet established an "unavoidable" cognitive advantage and face the risk of being squeezed by competitors.

Third Tier: Cognitively Marginal Brands. A large number of brands are in a state of "insufficient AI presence"—low mention rates in mainstream AI models, generalized or even erroneous descriptions of core brand information, and almost never appearing in priority positions for recommendation-type questions. This group constitutes the main segment "forgotten by AI."

"The most dangerous is the third scenario," said Pang Pei. "These brands are still operating normally in reality, but in the cognitive world of AI, they are being 'overwritten' by competitors. And this process is insidious—you can't see that AI didn't recommend you; you only notice that traffic and conversions from AI channels are quietly declining."

III. Why Doesn't AI Know You?

Pang Pei attributes the "invisibility" of brands in AI to three key deficiencies:

First, Lack of Authoritative Sources. AI's trust mechanism makes it more inclined to cite sources with institutional backing—national media, industry white papers, authoritative third-party evaluations, and academic papers. If a brand's core information exists only in its own official website statements and self-media communications, these sources naturally carry lower weight in AI's trust evaluation system.

Second, Lack of Structured Content. AI prefers content that is semantically clear, information-dense, and well-formatted. Many brands' official websites and product information lack structured data markup, making it difficult for AI to accurately extract core information during retrieval. This results in generalized descriptions rather than precise recommendations when the brand is mentioned.

Third, Lack of Multilingual Coverage. Existing only in Chinese AI models means a brand's visibility is nearly zero among the nearly 2 billion AI users worldwide. For brands aiming to go global or attract international consumers, building a presence in English and other major languages is a threshold that must be crossed before stepping abroad.

IV. The Value of CBVI: Making "Invisibility" Visible

"The value of CBVI lies first in making 'invisibility' visible," said Pang Pei. "A brand's presence in AI is not a metaphysical concept but a set of data that can be quantified, tracked, and improved."

Based on the CBVI evaluation framework, brands can diagnose their presence in AI through three key questions: Breadth—How frequently are they mentioned in multilingual, multi-scenario AI Q&A? Quality—When mentioned, is the information accurate, backed by authoritative sources, and prioritized in recommendations? Stability—Does the brand's AI presence fluctuate over time, rising and falling dramatically with model updates?

Behind each score lies a specific direction for improvement. Insufficient breadth calls for strengthening multilingual content supply; insufficient quality requires reinforcing authoritative source backing; insufficient stability necessitates establishing a continuous content publishing mechanism.

V. Conclusion

In the industrial era, brands relied on channel coverage. In the internet era, brands relied on search rankings. In the AI era, brands rely on "cognitive presence"—being seen by AI, trusted by AI, and recommended by AI.

"Future brand competition will take place not only on shelves or search engine results pages but also within AI's answers," said Pang Pei. "Your brand may be big, but if AI doesn't know you, the new generation of consumers won't know you either. Because being seen by AI is the prerequisite for being found by users."

About Pang Pei

Pang Pei is a member of the Cultural Committee of the Central Committee of the China Zhi Gong Party, Dean of the CCTV New Pictures GEO Research Institute, and initiator of the WICOWEB Global AI Cognitive Research Center. He is the first proponent of the "Media-type GEO" theory, the "AI Brand Equity (AIBE)" theory, the "AI Influence Model," and the concept of "AI Cognitive Authority." He is the founder of the PAI Framework (Pangpei AI Index Framework) and the Chief Designer of the AI Cognitive Index (AICI) Evaluation System. His academic paper, "Deepseek-like AI Empowering the International Communication of Chinese Civilization," was published in China Development. He has long been dedicated to research on cognitive competitiveness and brand equity evaluation in the AI era.