What are AI Hallucinations (and How to Fix Them)?
An AI hallucination is a confident, fluent statement that is not true. When a model hallucinates about your brand, such as citing a dismissed lawsuit as ongoing, it can derail deals, due diligence, and reputation. Because the statement sounds authoritative, people believe it.
Where hallucinations come from
Models combine patterns from training data with live retrieval. A hallucination usually traces to a poisoned or outdated source that the model retrieved and repeated as fact.
How to fix a brand hallucination
Identify the source the model is drawing from, remove or de-index it, then inject verified, high-authority alternatives into the retrieval pool. Over time the model’s answer recalibrates.
Prevention
A maintained knowledge graph, verified entity data, and authoritative content reduce the chance a model reaches for a bad source in the first place.
Key takeaways
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Hallucinations are confident false statements generated from bad sources.
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Fix them at the source, not with a public statement.
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Strong entity and content hygiene prevents most of them.