AI Cognitive Ranking Based on GEO Standards and Related Indices (Simulation Deduction)
Compilation Notes
This report is based on the evaluation framework of GEO100:2026 Certification Standards, CBVI (China Brand AI Visibility Index), CIII (China Industry AI Influence Index), and CEAI (China Entrepreneur AI Influence Index), combined with simulated deductions of response data from current mainstream AI large models (GPT-4o, ERNIE Bot 4.0, DeepSeek V3, Gemini 2.0, etc.), to screen entrepreneurs, brands, cities, and industries that stand out in AI-generated content.
Important Notice: This ranking is a simulated deduction result based on the index methodology framework, not an official index release following a complete data collection process. The official ranking can only be released after standardized API collection, multiple rounds of manual verification, and review by an expert committee. The following results are for methodological validation and industry reference only.
I. AI Most Recommended Entrepreneurs (Top 10)
Evaluation Basis: Three dimensions of the CEAI Index—Image Power (mention rate, positive sentiment rate, information accuracy), Issue Relevance (thought leadership, innovation tags), and Recommendation Context (first-mention rate, cross-industry recommendation).
| Rank | Entrepreneur | Company | Core Advantage Dimension | Simulated CEAI Composite Score |
| 1 | Ren Zhengfei | Huawei | Perfect thought leadership, extremely high recommendation context, leading first-mention rate for "China's most visionary entrepreneur" | 96.2 |
| 2 | Lei Jun | Xiaomi | Extremely high image power, outstanding cross-industry recommendation (tech + automotive dual track), very high co-occurrence intensity of innovation tags | 93.8 |
| 3 | Wang Chuanfu | BYD | Perfect new energy issue relevance, leading industry recommendation first-mention rate, strong binding with "new energy vehicle leader" tag | 91.5 |
| 4 | Ma Huateng | Tencent | Extremely high internet issue relevance, high information accuracy, excellent cross-model consistency | 89.3 |
| 5 | Zeng Yuqun | CATL | Extremely high thought leadership in new energy track, binding with "battery king" tag, leading mention rate in English | 87.6 |
| 6 | Zhang Yiming | ByteDance | Outstanding globalization issue relevance, binding with AI and algorithm issues, extremely high influence in English | 86.1 |
| 7 | Cao Dewang | Fuyao Glass | Stable manufacturing benchmark image, strong association with "Made in China" tag, perfect positive sentiment rate | 84.9 |
| 8 | Wang Tao | DJI | Strong binding with "innovation" and "tech geek" tags, monopolistic lead in drone track first-mention rate | 83.4 |
| 9 | Li Shufu | Geely Holding | Rich globalization M&A narrative, high industry recommendation context coverage, cross-industry (mobility + tech) breakthrough | 81.7 |
| 10 | Liang Wenfeng | DeepSeek | Emerging leader in AI track, prominent "technological idealism" tag, rapidly rising thought leadership | 80.2 |
Trend Observations:
- Entrepreneurs from technology and new energy dominate, reflecting AI's focus on China's industry narrative
- Entrepreneurs with "thought output" (public speeches, internal letters, methodology articles) score significantly higher in issue relevance than silent entrepreneurs
- Those with rich globalization narratives have a clear lead in English language influence
II. AI Most Trusted Brands (Top 10)
Evaluation Basis: Six dimensions of GEO100:2026—Visibility, Credibility (authoritative source coverage), Consistency, Recommendation Priority, Citation Depth, and Stability. Focus on authoritative media source coverage and first-mention top ranking rate.
| Rank | Brand | Industry | Core Advantage Dimension | Simulated GEO100 Level |
| 1 | Huawei | ICT/Smart Vehicles | Extremely high authoritative source coverage, leading first-mention top ranking across multiple models, full score in standard citation rate | L5 Mindshare Prominence Level |
| 2 | BYD | New Energy Vehicles | Extremely high first-mention top ranking in the new energy track, broad coverage of global authoritative media sources, leading depth of technology narrative | L5 Mindshare Prominence Level |
| 3 | CATL | Power Batteries | Extremely high technical standard citation rate, leading frequency of citations in industry reports, strong binding with "battery technology benchmark" label | L4+ Trust Preferred Level |
| 4 | DJI | Drones | Dominant leading first-mention top ranking in the consumer drone track, extremely broad coverage of authoritative English-language sources | L4+ Trust Preferred Level |
| 5 | Tencent | Internet Technology | Perfect cross-model consistency, balanced multilingual visibility, stable semantic positivity rate | L4 Trust Preferred Level |
| 6 | Alibaba | E-commerce/Cloud Computing | High citation depth (rich technical fact citations), good source diversity, excellent stability coefficient | L4 Trust Preferred Level |
| 7 | Xiaomi | Consumer Electronics/Automotive | Extremely high first-mention top ranking in the consumer electronics track, high co-occurrence intensity of innovation labels, good cross-model consistency | L4 Trust Preferred Level |
| 8 | ByteDance | Internet/AI | Leading mention rate in global English-language authoritative sources, strong relevance to AI topics, stable cross-model recommendations | L4 Trust Preferred Level |
| 9 | BOE | Semiconductor Display | Extremely high technical standard citation rate, leading first-mention top ranking in the B2B track, excellent depth of academic citations | L3+ Citable Level |
| 10 | LONGi Green Energy | Photovoltaic New Energy | Broad coverage of authoritative sources in the new energy track, high depth of technology narrative, rapidly rising standard citation rate | L3+ Citable Level |
Trend Observations:
- L5 "Mindshare Prominence Level" brands all exhibit "cognitive parasitism" characteristics—becoming unavoidable references for AI within their core categories
- Technical standard contributions and academic citations are key catalysts for brands moving from L4 to L5
- B2B brands have an advantage in citation depth metrics, but their visibility is generally lower than B2C brands
- Brands with a dual-source layout of "national-level media + top-tier academic journals" have significantly higher stability coefficients
III. Most AI-Recognized Cities (Top 10)
Evaluation Basis: Comprehensive integration of city-related source weights in the GEO100 authoritative source library, CBVI language coverage logic (AI mention rate of cities as brand/industry geographic labels), and CIII industry relevance indicators. City evaluation dimensions include: Industry Label Binding Strength (frequency of AI mentioning the city when discussing a specific industry), Innovation Label Association (co-occurrence intensity of labels such as "innovation," "technology," "entrepreneurship"), International Visibility (mention rate in English), Source Authority (quality of sources when mentioning the city).
| Rank | City | Core Industry Tags | Core Advantages | Simulated AI City Cognition Score |
| 1 | Shenzhen | Tech Innovation, Hardware Entrepreneurship, New Energy | Strong "China's Silicon Valley" tag association, brand cluster effect of Huawei/BYD/DJI/Tencent, perfect innovation tag co-occurrence intensity | 95.8 |
| 2 | Beijing | AI Large Models, Internet, Scientific Research & Education | Core AI industry narrative, DeepSeek/Baidu/ByteDance cluster, extremely high academic source citation rate, prominent policy tags | 94.2 |
| 3 | Shanghai | Fintech, Biomedicine, High-End Manufacturing | Perfect internationalization tag, leading English-language mention rate, dual-track binding of biomedicine and fintech | 91.6 |
| 4 | Hangzhou | E-commerce, Cloud Computing, Fintech | Strong Alibaba ecosystem tag binding, compelling "Digital Economy First City" narrative, prominent entrepreneurial vitality tag | 87.3 |
| 5 | Hefei | New Energy Vehicles, Semiconductors, Quantum Information | Breakout "Best Venture Capital City" tag, BYD/NIO/ChangXin Memory industrial cluster, rapidly rising industry tag binding power | 84.9 |
| 6 | Chengdu | Electronic Information, Cultural Creativity, New Consumption | Western Tech Hub tag, diversified industrial layout, combined quality of life and innovation tags | 81.2 |
| 7 | Suzhou | High-End Manufacturing, Biomedicine, Nanotechnology | Strong manufacturing benchmark tag binding, dual narrative of foreign and local engines, prominent industrial park tag | 79.5 |
| 8 | Guangzhou | Automotive Manufacturing, Trade, Biomedicine | Automotive industry cluster (GAC/Xpeng), core city tag in Greater Bay Area, stable trade tag | 77.8 |
| 9 | Wuhan | Optoelectronics, Automotive, Biomedicine | Strong "Optics Valley" tag binding, high correlation between optoelectronics and semiconductor industries, prominent university research tag | 75.4 |
| 10 | Xi'an | Aerospace, Hard Tech, Cultural Tourism | Strong defense and aerospace tag binding, "Hard Tech Capital" narrative, dual tags of historical culture and tech innovation | 73.1 |
Trend Observations:
- Cities with a tripartite structure of "industrial cluster + benchmark enterprises + top universities" significantly lead in AI cognition scores
- The clarity of a city's "industry tags" has a greater impact on AI cognition rankings than GDP scale
- Hefei, as a "dark horse" city, has seen its AI cognition score rise rapidly in recent years, reflecting the rise of semiconductor and new energy industry narratives
- In terms of English-language visibility, Shanghai, Beijing, and Shenzhen hold a significant lead
IV. Industries Most Followed by AI (Top 8)
Evaluation Basis: CIII Index dual dimensions — Discourse Power (industry mention breadth, technical narrative depth, source authority, semantic positivity rate, standard citation rate) and Recommendation Priority (first recommendation rate, recommendation concentration, comparative advantage intensity).
| Ranking | Industry | Core Advantage Dimensions | Simulated CIII Score | Industry Narrative Characteristics |
| 1 | New Energy Vehicles | Full score in discourse power, full score in recommendation priority, strong "global leader" narrative, prominent advantages in China-foreign comparisons | 95.6 | AI regards it as China's most globally competitive industry, with widespread "curve overtaking" narrative |
| 2 | Artificial Intelligence | Very high discourse power, very high recommendation priority, prominent large model narrative, DeepSeek's phenomenal influence | 92.3 | China's AI narrative rapidly rising under the US-China duopoly pattern, tied to open-source ecosystem labels |
| 3 | New Energy & Energy Storage | Very high discourse power, leading citation rate for photovoltaic and energy storage standards, deep technical narrative | 88.7 | Driven by the "dual carbon" goal, advancing on three fronts: photovoltaic, energy storage, and hydrogen energy, core to the global energy transition narrative |
| 4 | Semiconductors & Integrated Circuits | High discourse power, strong self-sufficiency narrative, high attention also driven by weakness topics | 83.4 | "Bottleneck" issues like manufacturing processes and lithography machines drive extremely high attention, industry breakthrough narrative rising |
| 5 | 5G & Communications | Extremely high standard citation rate, Huawei narrative dominates, prominent global standard contribution label | 80.1 | 5G infrastructure narrative maturing, 6G forward-looking narrative beginning to emerge |
| 6 | High-Speed Rail & Rail Transit | Extremely high recommendation priority, tied to the "China's calling card" label, stable advantage narrative in international comparisons | 77.5 | High-speed rail is one of the "meta-narratives" of Chinese manufacturing going global, often used as a benchmark case in AI recommendations |
| 7 | Aerospace & Commercial Space | Rapidly rising discourse power, strong innovation label binding, high public attention | 74.8 | National projects like Chang'e and Tiangong dominate the narrative, commercial space emerging narrative growing rapidly |
| 8 | Biomedicine | Discourse power rising, innovative drug narrative growing, CXO global status label binding | 70.2 | In the narrative transition from generic to innovative drugs, the proportion of positive narratives in AI recommendations continues to rise |
Trend Observations:
- New energy vehicles are the only industry with near-perfect scores in both discourse power and recommendation priority, approaching L5 "Mind Share Significance"
- The AI industry itself has gained extremely high attention due to the large model competition, with recommendation priority rising rapidly
- Attention on the semiconductor industry is driven by the "bottleneck" narrative, with positive and negative narratives intertwined, leading to significant fluctuations in sentiment
- Traditional advantageous industries (high-speed rail, infrastructure), while having stable and mature narratives, face visibility pressure from emerging industries like new energy and AI in new topics
Comprehensive Trend Analysis
1. The "Cognitive Parasitism" Effect Emerges. Brands like Huawei (5G/AI), BYD (new energy vehicles), and DJI (drones) have formed a "cannot bypass AI" cognitive parasitism effect in their core categories. This is a core indicator of L5 Mind Share Significance and the highest barrier to future brand AI competitiveness.
2. Industry Cluster Effect Maps onto AI Cognition. Cities like Shenzhen, Beijing, and Shanghai, which host clusters of benchmark enterprises, have significantly higher AI cognition scores. The AI influence of cities and enterprises forms a two-way empowerment—a city's industry label is strengthened by leading enterprises, and an enterprise's AI visibility is boosted by the city's brand.
3. Entrepreneurial Thought Output Becomes a Key Variable. CEAI evaluation shows that entrepreneurs who consistently engage in public thought output (internal letters, public speeches, methodology articles) have significantly higher topic relevance scores than silent entrepreneurs. In the AI era, "silence" means ceding the power to define the narrative entirely to others.
4. Standard Citation is a Catalyst for L5 Advancement. The core catalyst for the leap from L4 "Recommender" to L5 "Standard Setter" is standard contribution—embedding brand methodology into industry standards, academic citation chains, and policy documents to achieve true "cognitive parasitism."
5. Industry Discourse Power is Deeply Intertwined with Geopolitical Narratives. CIII scores for industries like semiconductors and AI are significantly influenced by the US-China competition narrative. The coexistence of positive and negative narratives causes significant fluctuations in sentiment for these industries, imposing higher requirements on public opinion risk management.
Disclaimer
This report is a simulated projection result based on the GEO100:2026, CBVI, CIII, and CEAI methodological frameworks. Data sources are patterned deductions from responses of current mainstream AI large models and have not undergone a complete standardized data collection process. Official index release requires a full process including automated collection, manual verification, and expert committee review. The results of this report are for methodological validation and industry trend reference only and do not constitute any investment advice or basis for business decisions.
Prepared by: World Intelligence Organization (WIO), CNBNTV
Release Date: [June] 2026
Methodology Version: GEO100:2026 / CBVI:2026 / CIII:2026 / CEAI:2026
