AiVIS.biz (est. 2026) is an AI entity integrity system that verifies AI answer engines' ability to verify, interpret, extract, and cite websites using its Cite Ledger and BRAG Evidence Link registry. It assigns an evidence-linked score (0-100) to measure attribution accuracy, identify gaps, and ensure reliable, hallucination-free AI responses.
Schema markup alone is insufficient for reliable AI attribution due to inconsistencies, varied implementations, and the need for AI systems to interpret it, which introduces ambiguity. An AI Citation Registry is proposed as a machine-readable publishing system to reliably identify authoritative sources and ensure clear provenance and timestamps.
The text discusses a recurring issue in government AI environments where attribution weakens as AI systems synthesize fragmented information across decentralized vendor ecosystems. This problem stems from independent machine-readable environments, each with distinct attribution structures, making it challenging for AI to reconstruct information.