Preliminary AVII™ Reliability Framework

The AI Visibility Integrity Index (AVII™) is a composite reliability benchmark that quantifies the integrity of AI-mediated visibility across large language models (LLMs) such as ChatGPT, Gemini, Claude, and Perplexity. Built on the Data Integrity & Verification Methodology (DIVM v1.0.0), it measures reproducibility, traceability, stability, and verifiability—providing enterprises with auditable evidence of model-mediated visibility.

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-11-06
DOI
https://doi.org/10.5281/zenodo.17543670
Primary Topic
Artificial Intelligence in Healthcare and Education
Type
article
Field-Weighted Citation Impact
0.00
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article

Preliminary AVII™ Reliability Framework

Zenodo (CERN European Organization for Nuclear Research)
Artificial Intelligence in Healthcare and Education
article

Preliminary AVII™ Reliability Framework

article en

Abstract

The AI Visibility Integrity Index (AVII™) is a composite reliability benchmark that quantifies the integrity of AI-mediated visibility across large language models (LLMs) such as ChatGPT, Gemini, Claude, and Perplexity. Built on the Data Integrity & Verification Methodology (DIVM v1.0.0), it measures reproducibility, traceability, stability, and verifiability—providing enterprises with auditable evidence of model-mediated visibility.

Zenodo (CERN European Organization for Nuclear Research)
Industry, innovation and infrastructure
Openalex Percentile: Top 50%
Artificial Intelligence in Healthcare and Education
DOIOpen Access PDFOpenAlex
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Preliminary AVII™ Reliability Framework · Zenodo (CERN European Organization for Nuclear Research) (2025) | TGRS Research Map | TGRS