AIVO Standard
AIVO Standard is an open research and measurement framework that tracks how AI systems represent, recommend, and decide between brands across major AI platforms. The organization publishes a CC BY 4.0-licensed methodology, a research corpus, and an evidence framework, with its commercial arm, AIVO Meridian, providing continuous measurement and remediation infrastructure. The standard has analyzed over 22,000 multi-turn live conversations, 380+ brands, and 5 AI platforms across 14 industry sectors over 17 months.
- Artificial Intelligence
- Data & Analytics
- Marketing Technology
- Software Only
Funding
Founders
Product
Problem
Brands lack transparent, standardized methods to understand how AI systems represent, recommend, and decide between them during user interactions. As AI platforms increasingly mediate consumer choices, businesses face a growing blind spot in measuring and managing their brand presence across these emerging channels without a common evidence framework.
Solution
AIVO Standard provides an open, independently verifiable methodology and research corpus for measuring AI brand representation and recommendation patterns. The organization publishes its framework under CC BY 4.0 with DOI assignment, aligning with ISO 42001 and NIST AI RMF 1.0 standards. Through continuous measurement across major AI platforms, AIVO Standard generates machine-readable standards like brand.context and dataset series like CitationMapper, enabling brands to understand their AI-mediated presence. The commercial arm, AIVO Meridian, offers continuous measurement and remediation infrastructure anchored to the open Standard, re-probed on a fixed cycle for ongoing monitoring.
Target Audience
Primary customers are brand managers, marketing executives, and analytics teams at consumer-facing companies who need to understand and manage their brand's representation across AI platforms, as well as researchers and agencies tracking AI-mediated brand perception.
Features
- Open research corpus with 22,000+ multi-turn live conversations and 380+ brands tested across 5 AI platforms
- Machine-readable brand.context standard (WP-2026-04) for agentic commerce applications
- CitationMapper dataset series tracking how AI systems cite and reference brands
- Prompt-Space Occupancy Score and Decision-Path Analysis for measuring brand visibility in AI responses
- Cross-platform reasoning-pattern taxonomies covering ChatGPT, Claude, Gemini, Grok, and Perplexity
- Methodology aligned with ISO 42001 and NIST AI RMF 1.0 frameworks
- Fixed-cycle re-probing infrastructure through AIVO Meridian for continuous monitoring