PAI Global AI Cognitive Index Model Framework PAI Global AI Index

Publish On:
14 Aug, 2026

PAI Global AI Cognitive Index Framework

PAI Global AI Index


Version: GAI 2.0

Release Date: 2026

Compiling Institution: AI Index Research Institute / CIVC New Vision GEO Research Institute / WICOWEB Global AI Cognitive Research Center

Theoretical Founder: Pang Pei

I. Index Positioning

1.1 Core Definition

The PAI Global AI Index (referred to as the PAI Composite Index) is the main gateway and flagship index of the PAI Global AI Cognitive Competitiveness Index System. It is not a brand-new index created from scratch, but rather a scientifically weighted composite of the seven core indices already released under the PAI Index System, as well as subsequent industry-specific and domain-specific indices, forming a top-level indicator that measures a subject's comprehensive cognitive competitiveness in the AI era.

The core value of the PAI Composite Index lies in its "one-stop cognitive competitiveness profile" — whether for a country, city, enterprise, brand, or individual, the PAI Composite Index provides a comprehensive cognitive score and global ranking within the AI knowledge network. It serves as the data hub, publishing platform, and flagship brand of the PAI Index System.

1.2 Strategic Positioning

Within the PAI Index System, the PAI Composite Index fulfills three core functions.

First, the main gateway. All data queries, report downloads, trend analyses, and certification services of PAI indices use the PAI Composite Index as the unified entry point. Users can access data across the entire system through the main gateway without visiting each vertical index website separately.

Second, the system-wide data hub. The PAI Composite Index integrates the assessment results of each vertical index, providing a cross-domain, cross-dimensional comprehensive cognitive competitiveness profile. It does not answer single questions such as "How does this brand perform in AI?" or "What is this city's ranking in AI?" but rather the top-level question: "How strong is this subject's comprehensive cognitive competitiveness in the AI era?"

Third, the flagship publishing platform. The PAI Composite Index is the flagship platform through which the PAI Index System releases annual reports, quarterly tracking, rankings, and certification results to the public, serving as the core channel for all PAI index dissemination.

1.3 Brand Attribution

The PAI Composite Index is the flagship product of the PAI Global AI Cognitive Competitiveness Index System. The PAI Index System was founded by Pang Pei, adopting the PAI framework as its unified methodology and relying solely on real output data from mainstream global AI large models as the evaluation basis, committed to providing an open, transparent, and verifiable measurement benchmark for global competitiveness in the AI era.

1.4 Theoretical Foundations

  1. PAI Framework: The synthesis methodology of the PAI Composite Index follows the unified methodology of the PAI framework
  2. AI Cognitive Competition Theory: The PAI Composite Index is the top-level application of AI cognitive competition theory in the comprehensive measurement dimension
  3. AI Cognitive Sovereignty Theory: The PAI Composite Index provides a comprehensive quantitative benchmark for national cognitive sovereignty assessment
  4. AI Brand Equity Theory (AIBE): The PAI Composite Index extends brand equity from consumer minds to the AI knowledge network

II. System Architecture

2.1 Index Matrix

The PAI Index System has formed a complete matrix covering multiple fields and levels:

LevelIndex NameAbbreviationEvaluation TargetStatus
Overall PortalPAI Global AI Cognitive IndexPAI Overall IndexComprehensive Cognitive CompetitivenessFlagship Product
Country LevelPAI National AI Influence IndexGAINational Comprehensive AI CognitionPublished

PAI National Brand AI IndexPNBAINational BrandPublished
Regional LevelPAI Regional Economic AI IndexREAIRegional EconomiesPublished
City LevelPAI City AI Competitiveness IndexWACICity Cognitive CompetitivenessPublished

PAI AI City Friendliness IndexPAFCICity AI EnvironmentPublishedIndustry LayerPAI Industry AI Influence IndexCIIIIndustry Discourse PowerPublished
PAI Artificial Intelligence Industry IndexAIIAI IndustryPublished
PAI Smart Manufacturing IndexPSMIManufacturingPublished
PAI Chip Industry IndexPCISemiconductorsPublished
PAI Robotics IndexPRIRoboticsPublished
PAI Autonomous Driving IndexPADISmart VehiclesPublished
PAI Medical AI IndexPHAIMedical TechnologyReleased
PAI Education AI IndexPEAIEducation TechnologyReleased
PAI Financial AI IndexPFAIFinancial TechnologyReleased
PAI Culture and Tourism AI IndexPCTAICulture and Tourism IndustryReleased
PAI Agricultural AI IndexPAAISmart AgricultureReleased
PAI Green Industry IndexPGIIGreen IndustryReleased
PAI Future Industry IndexPFIIFuture IndustryReleased
PAI Large Model Ecosystem IndexLMEILarge Model EcosystemReleasedEnterprise LayerPAI Enterprise AI Awareness IndexEAIEnterprise Comprehensive AwarenessReleased
PAI Brand AI Visibility IndexCBVI/WBVIBrand AwarenessReleased
PAI Enterprise Globalization IndexPGIEnterprise Going GlobalReleased
PAI Digital Asset IndexPDAIDigital Brand AssetsReleasedPeople LayerPAI Entrepreneur AI Influence IndexCEAI/WEAIEntrepreneur InfluenceReleased
PAI AI Talent Influence IndexPATITalent EvaluationPublishedInvestment LayerPAI Investment AI Influence IndexIAICapital SectorPublishedInnovation LayerPAI AI Innovation IndexPIIInnovation CapabilityPublishedGovernance LayerPAI AI Governance IndexWAIGGovernance CapabilityPublishedMedia LayerPAI AI Media Influence IndexPMAIMedia CommunicationPublishedSearch LayerPAI AI Search IndexPASIAI Search EcosystemPublishedMethod LayerPAI GEO IndexGEO IndexGenerative Search OptimizationPublished

2.2 Composite Index Aggregation Logic

The PAI Overall Index employs a "layered weighted synthesis" method. First, each vertical index operates independently to produce standardized scores for various entities. Then, the PAI Overall Index extracts the corresponding scores for each entity from the vertical indices based on entity type (country, city, enterprise, brand, individual, etc.). Finally, the PAI composite score for the entity is calculated through weighted synthesis according to an entity-type-specific weighting scheme.

Country PAI Overall Index Composite Weights:

Component IndexWeightDescription
PAI Country AI Influence Index30%Comprehensive AI awareness of the country
PAI Country Brand AI Index25%Country brand awareness
PAI Industry AI Influence Index (CIII)20%Industry discourse power (average of the country's advantageous industries)
PAI Enterprise AI Awareness Index (EAI)15%Enterprise awareness (average of representative enterprises in the country)
PAI AI Innovation Index (PII)10%Innovation capability

City PAI Overall Index Composite Weights:

Component IndexWeightDescription
PAI City AI Competitiveness Index (WACI)40%City cognitive competitiveness
PAI AI City Friendliness Index (PAFCI)25%City AI environment
PAI Enterprise AI Awareness Index (EAI)20%Enterprise awareness (average of representative enterprises in the city)
PAI AI Talent Influence Index (PATI)15%Talent attractiveness

Enterprise PAI Composite Index Weights:

Component IndexWeightDescription
PAI Enterprise AI Awareness Index (EAI)35%Enterprise comprehensive awareness
PAI Brand AI Visibility Index (CBVI/WBVI)25%Brand awareness
PAI Digital Asset Index (PDAI)15%Digital asset value
PAI GEO Index (GEO Index)15%GEO construction capability
PAI Enterprise Globalization Index (PGI)10%Degree of globalization

Individual PAI Composite Index Weights:

Component IndexWeightDescription
PAI Entrepreneur AI Influence Index (CEAI/WEAI)40%Entrepreneur influence
PAI AI Talent Influence Index (PATI)30%Talent recognition
PAI AI Innovation Index (PII)20%Innovation capability
PAI Digital Asset Index (PDAI)10%Personal digital assets

III. Core Functions of the Main Portal

3.1 Data Query and Visualization

The PAI Main Index Portal provides multi-dimensional data query functions: users can search for the PAI comprehensive score and ranking of any evaluated entity by subject type, region, industry, and other dimensions; it offers various visualization tools such as radar charts, trend charts, heat maps, and ranking change charts; it supports multi-subject comparative analysis—selecting multiple subjects to generate overlay radar charts for an intuitive presentation of competitiveness differences.

3.2 Report and White Paper Publication

The PAI Main Index Portal is the official publishing platform for all annual reports, quarterly tracking reports, white papers, and rankings within the PAI index system. Published content covers the PAI Global AI Cognitive Competitiveness Annual Report, annual in-depth reports for each vertical index, quarterly dynamic tracking briefings, industry-specific white papers, and customized diagnostic reports for cities/enterprises/brands.

3.3 Certification and Rating Inquiry

The PAI Main Index Portal provides certification and rating inquiry services: GEO100 certification inquiry—enter the name of the evaluated entity to query its GEO100 certification level; PAI cognitive level inquiry—query the PAI comprehensive level of any evaluated entity; certification logo download—certified entities can download the official certification logo for brand promotion.

3.4 Trend Tracking and Dynamic Monitoring

The PAI Main Index Portal provides trend tracking services: annual trends—historical changes in the PAI comprehensive scores of each subject; quarterly fluctuations—monitoring of quarterly fluctuations in core indicators; model impact monitoring—analysis of the impact effects of AI large model version updates on evaluation results.

3.5 API Interface and Data Openness

The PAI Main Index Portal opens standardized API interfaces to academic research institutions, media, and partners, providing basic data queries, batch data export, customized data push, and third-party application integration services.

IV. Rating System

The PAI Main Index uniformly adopts a six-level certification rating system:

LevelScore RangeLevel NameCore Characteristics
AAA+90-100PAI Global Cognitive LeaderComprehensive multi-dimensional leadership with irreplaceable cognitive weight in the global AI knowledge network
AAA85-89PAI Global Cognitive ExcellenceOutstanding performance across multiple dimensions with global cognitive advantages in core areas
AA80-84PAI Global Cognitive FrontrunnerStrong comprehensive cognitive competitiveness with prominent cognitive labels in several dimensions
A70-79PAI Cognitive GrowerProminent cognitive weight in specific dimensions with systematic cognitive asset development in progress
BBB60-69PAI Cognitive BuilderPossesses basic cognitive visibility with core labels currently taking shape
BB50-59PAI Cognitive BeginnerRelatively low cognitive visibility with urgent need to strengthen cognitive asset accumulation

V. Publication and Application

5.1 Publication Cycle

The PAI Overall Index adopts a two-tier publication system of "Annual Flagship Report + Quarterly Dynamic Tracking." The annual flagship report is released in the first quarter of each year, comprehensively presenting the PAI composite scores, global rankings, and in-depth analysis of each entity; quarterly dynamic tracking covers fluctuations in core indicators and is delivered to subscribed users on a targeted basis.

5.2 Annual Flagship Publication Content

  1. PAI Global Comprehensive Competitiveness Annual Report: The flagship annual publication of the PAI index system
  2. PAI National Cognitive Competitiveness Ranking: Comprehensive PAI rankings of major countries worldwide
  3. PAI City Cognitive Competitiveness Ranking: Comprehensive PAI rankings of major cities worldwide
  4. PAI Enterprise Cognitive Competitiveness Ranking: Comprehensive PAI rankings of representative global enterprises
  5. PAI Brand Cognitive Competitiveness Ranking: Comprehensive PAI rankings of representative global brands
  6. PAI Entrepreneur/Talent Influence Ranking: Comprehensive PAI rankings of global entrepreneurs and AI talents
  7. Annual Trend Deep Analysis: Evolution of the global cognitive competitiveness landscape and trend assessment

5.3 Core Application Scenarios

  1. National Strategic Decision-Makers: One-stop access to their country's comprehensive positioning within the global AI cognitive system
  2. City Administrators: Understand their city's comprehensive position in the global AI cognitive competitiveness landscape
  3. Enterprise and Brand Managers: Obtain comprehensive cognitive competitiveness diagnostics for their enterprise/brand in the AI era
  4. Investment and Financial Institutions: Use PAI comprehensive scores as a reference dimension in investment decision-making
  5. Academic and Research Institutions: Access the full PAI index dataset for AI cognitive competitiveness research
  6. International Organizations and Think Tanks: Conduct global AI development landscape analysis based on the PAI overall index
  7. Media and the Public: Look up cognitive competitiveness rankings of countries, cities, and enterprises in the AI era

VI. Independence Statement

The index compilation institution is independent of any evaluated entity and AI model provider. It does not accept targeted funding to influence the rankings of specific subjects. Compilation funding comes from the institution's own resources and public distribution revenue. An independence statement and funding source report are publicly released each year.

"The PAI Global AI Cognition Index is the flagship of the PAI Index System. Its mission is not to replace any vertical index, but to ensure that data from all PAI indices is seen, understood, and utilized on a unified platform. On this platform, every country, every city, every enterprise, and every brand can find its coordinates in the cognitive competitiveness landscape of the AI era."

— Pang Pei, Founder of the PAI Global AI Cognitive Competitiveness Index System


Appendices

Appendix A: Comprehensive Methodology for PAI Composite Index Compilation

Appendix B: Detailed Weighting Schemes by Entity Type

Appendix C: Complete Matrix Diagram of the PAI Index System

Appendix D: Functional Architecture and Technical Specifications of the Main Portal

Appendix E: Data Sources and Disclaimer


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