Definition
An AI hallucination is a confident but false statement from a language model, such as an invented fact, quote, citation or product detail.
AI hallucination explained
Language models generate text that is plausible given their training and prompt. When they lack the right information, they can fill the gap with something that sounds right but isn't: a feature your product doesn't have, a price from years ago, a study that doesn't exist, or a mix of your company with a similarly named one.
Hallucinations matter for brands in two ways:
- In AI search, assistants can state wrong facts about your business to potential customers.
- In AI tools you build, wrong answers can reach customers or colleagues with your name on them.
To reduce them in AI search, publish clear, consistent, current facts about your company on your own site and the sources assistants rely on, and monitor what assistants say. In your own tools, ground answers in retrieved documents, require sources, limit the scope of questions the tool will answer, test with realistic questions, and keep a person reviewing anything high-stakes.
Example
A prospect tells your sales rep that ChatGPT said your software has no mobile app, though you launched one last year. Adding a clear, current features page and updating the review sites that assistants cite corrects the hallucination over time.
Why it matters
A hallucinated price, feature or policy can cost a sale or create a support problem, so accuracy needs active management.
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Related terms
- RAG (Retrieval-Augmented Generation)RAG (retrieval-augmented generation) is when an AI system first retrieves relevant documents, then has a language model write its answer from them.
- LLM (Large Language Model)An LLM (large language model) is an AI model trained on huge amounts of text to generate language, such as the models behind ChatGPT, Claude and Gemini.
- EntityAn entity is a distinct, well-defined thing, such as a company, person, product or place, that search engines and AI models recognize and connect to facts.
- AI visibilityAI visibility is how often and how favorably AI assistants mention, recommend or cite your brand when people ask questions related to what you sell.
- Human in the loopHuman in the loop is designing an AI system so a person reviews, approves or corrects its work at key points, instead of letting it act fully on its own.