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AI hallucination
AI hallucination
Definition
An AI hallucination is the production of a factually false piece of information presented with confidence by a generative AI model. LLMs do not distinguish true from false: they statistically predict the next token without systematic access to a reliable source.
Why it is a brand risk
- Wrong information about products, prices, features
- Mentions of fictional partnerships or non-existent people
- Fake quotes attributed to executives
- Reputational risk when users treat AI output as truth
- Legal exposure in case of unintended defamation
Notable examples
Lawyers sanctioned for citing case law invented by ChatGPT, products described with fictional features by e-commerce chatbots, fake biographies generated about public figures.
How to protect yourself
- Actively monitor what AI says about your brand (AI citations)
- Strengthen EEAT signals and knowledge graph presence
- Publish official structured information through Schema.org markup
- Document and report critical hallucinations to vendors (OpenAI, Anthropic, Google)
- Prepare an internal AI crisis management workflow