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Hallucination

An AI hallucination is when an AI system states something false or made-up as if it were fact. In AI search, that can mean inventing a statistic, misquoting your pricing, or attributing a claim to your brand that you never made. Clear, structured, well-sourced content is the best defense against being hallucinated about.

What it is

A hallucination is a confident wrong answer. The model fills a gap with something that sounds right but is not, because it is predicting plausible language, not checking a database. When the topic is your company, that can look like a wrong founding date, an outdated price, or a feature you do not offer.

Why it matters

This is where the AI-system audience can quietly hurt you. If an answer engine cannot find clear facts about your brand, it is more likely to guess, and its guess gets presented to a buyer as truth. You cannot stop models from generating, but you can make the accurate version the easiest one to find and reuse, which makes a wrong answer less likely.

What to do

Publish your key facts in plain, structured form: an up-to-date about page, clear pricing, and schema that labels who and what you are. Keep a single source of truth for the facts that matter most, and fix outdated pages that contradict it.

Frequently asked questions

They generate likely-sounding text rather than looking up verified facts, so gaps get filled with confident guesses.
Not entirely, but clear, consistent, structured facts on your site make the correct answer far easier for AI to find and repeat.
It helps. Structured data spells out your facts so an AI system has less reason to guess.

Related terms

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