Research Foundation

AIVO Edge is built on two years of independent AI governance research.

Every assessment, methodology, and evidence framework we use commercially was developed and validated through AIVO Standard — a non-commercial research programme with peer-reviewed publications, open-source tools, and active regulatory engagement.

From research programme to commercial intelligence

AIVO Standard was founded to answer a question no one was systematically investigating: what happens when AI systems make commercial decisions about brands, products, and companies — and get it wrong?

01
Research Foundation
AIVO Standard — the research programme
Non-commercial, independent AI governance research. Developed the methodologies, conducted the primary research across 50+ enterprises, published open-source frameworks, and submitted findings to regulatory bodies including the UK Government, SEC, and EU AI Act enforcement.
02
Commercial Application
AIVO Edge — commercial intelligence for brands
The commercial arm applying AIVO Standard's validated methodologies to help brands understand and respond to AI-mediated competitive displacement. Same research rigour, same evidence standards, applied to your specific competitive category.

The evidence base behind every assessment

3,780+
Pages of primary
research evidence
1,280
Prompt–response
pairs analysed
320
Four-turn drift
conversations
50+
Enterprises
researched

This is not a product built on assumptions. Every drift pattern, severity classification, and remediation framework used by AIVO Edge has been validated against real-world, multi-model empirical data collected over two years of continuous testing.

Proprietary frameworks developed through primary research

All methodologies are published open-source and available for independent verification.

Testing
Four-Turn Drift Sequence
Standardised multi-turn stress test mirroring real consumer and investor decision pathways. Framing → Competitor Expansion → Criteria Ranking → Final Recommendation.
Measurement
TCSA™
Temporal Claim Stability Analysis. Measures how AI-generated claims about a brand change over time across repeated testing cycles.
Detection
SCASA™
Structural Claim Absence & Suppression Analysis. Identifies what AI models systematically fail to say about a brand — the gaps that drive displacement.
Scoring
PSOS™
Prompt Space Occupancy Score. Quantifies a brand's competitive visibility across AI recommendation spaces — like a credit score for AI presence.
Risk
ERI™
External Risk Indicator. Executive-level scoring system that translates AI drift severity into commercial risk exposure for leadership reporting.
Governance
CAL™
Correction & Assurance Ledger. Immutable, audit-grade documentation system recording AI-generated claims and corrections over time.

Transparent by design

All research methodologies, frameworks, and primary evidence are published openly. We don't ask you to trust a black box — we invite you to verify our work.

Where the research has reached

Media Coverage
Fortune
AdAge
Business Insider
Sustained coverage over 6+ months
Regulatory Engagement
UK Government — research submitted and acknowledged
SEC — disclosure research submitted
EU AI Act enforcement bodies
Active engagement with regulatory frameworks
Industry Scope
Beauty & Skincare CPG & FMCG Pharmaceuticals Banking & Financial Services Consumer Electronics Adhesives & Industrial Travel & Hospitality Investor Disclosures

AIVO Edge applies this research to your competitive category.

When we assess your brand, we're not starting from scratch. We're applying two years of validated, peer-published methodology — the same frameworks submitted to regulators and covered by major media — to your specific products, competitors, and market position. The research is independent. The intelligence is yours.