Hallucination Inventory
The systematic record of what AI systems say about a brand today: what is missing, what is wrong, and whose text the errors come from. The starting point of any serious visibility work.
Hallucination Inventory
A hallucination inventory uses a frozen question set and repetitions to answer three questions across ChatGPT, Gemini, Claude and DeepSeek: What do the systems say about the company today? What do they not know? And from whose text did they learn what is wrong?
Why it matters
Not appearing in the answer is not a neutral outcome: the gap is filled by someone else's text, often a directory entry or a third-party list, and its errors speak in the brand's name. Only the inventory makes this proxy representation visible and correctable; without a zero line, no later change can be honestly demonstrated either.
The TYS view
The inventory is the first measurement step before any production: first document what the machines believe, then displace the faulty representation with verifiable first-hand information, then re-measure with the identical protocol.