The Global AI TRUST STANDARD™
A new independent framework for the AI-first economy.
Measuring how Artificial Intelligence perceives, interprets,
and ultimately recommends brands and organizations - before your customers do.
Why this matters now
Artificial Intelligence systems are becoming the default layer of trust and recommendation.
Yet, there is currently no neutral, cross-model standard to measure how companies are perceived, validated, and recommended by Artificial Intelligence.
Standard & Trust is building that standard — before AI perception becomes opaque, fragmented, and irreversible.
Early Research Phase
Standard & Trust is currently inviting a limited number of organizations to participate in the early research phase.
Organizations interested in understanding how Artificial Intelligence perceives their presence — and in contributing to the development of a global AI trust standard — may request participation below.
What Standard & Trust is
Standard & Trust is an independent research initiative focused on defining a standardized framework for evaluating organizations' credibility through the lens of artificial intelligence.
Rather than optimizing for visibility or performance, Standard & Trust measures how AI systems interpret, validate, and contextualize organizations across the digital landscape.
This work aims to establish a neutral reference point for AI-driven trust evaluation expressed with the AI Trust Score™ rating.
The Global AI Trust Standard™ defines the framework.The AI Trust Score™ is its applied measurement.
What Standard & Trust measures
Standard & Trust evaluates organizational credibility across four foundational dimensions of AI trust:
•
Identifiability
• Verifiability
• Informational Authority
• Contextual Alignment
Together, these dimensions form the basis of the AI Trust Score™, a structured measurement of how AI systems recognize and assess brands and organizations.
Why this is different
Standard & Trust does not provide optimization services, rankings, or competitive scoring.
It exists to define and measure a neutral, reproducible standard — independent of marketing tactics, advertising spend, or platform-specific optimization.
The goal is not to influence AI systems, but to understand how they currently operate.
Selection Process
Participation is not first-come, first-served.
Organizations are selected based on relevance, sector representation, and contribution to the development of a meaningful AI trust standard.
What selected organizations receive
Selected organizations will receive their Official AI Trust Score™, including:
• A
structured AI Trust Assessment snapshot
• Cross-model AI perception insights (non-comparative)
• Early access to the evolving AI Trust Score™ framework
• Priority consideration for future research phases
Participation is research-oriented and non-promotional.
Governance & Structure
Standard & Trust operates through a European-led research structure combining AI perception analysis, semantic modeling, and independent evaluation methodologies.
The initiative is designed to remain neutral, methodologically rigorous, and independent from commercial optimization activities.
Standard & Trust operates as an independent, founder-led initiative focused on the study and standardization of AI-mediated trust, and was initiated by a founder with a background in strategic analysis and digital ecosystems, driven by the need for transparency in AI-mediated trust.
The project is intentionally lean at this stage, with research direction, framework design, and strategic oversight centralized to ensure coherence and methodological consistency.
External expertise is engaged selectively across technical, analytical, and legal domains as required by each development phase.
This structure allows Standard & Trust to remain independent, adaptive, and methodologically rigorous during its formative stages.
