Hallucination (AI)
By the Pickgap team · Updated Oct 15, 2026 · 1 min read
A hallucination is when an AI model states something false or unsupported as if it were fact, such as wrong opening hours, a service a business doesn't offer, or an invented review. It happens when the model fills gaps with plausible-sounding text. For businesses, the best defense is clear, consistent information on the sources AI reads, which gives the model solid facts to use.
Why it happens
Language models generate likely text, word by word. When they have good sources, likely text is usually accurate. When information is missing, outdated or contradictory, the most likely-sounding text can be wrong, and the model doesn't always signal uncertainty.
Grounding answers in live search (see grounding) reduces hallucinations, but doesn't remove them: the model can still misread a source, mix up two similar businesses, or fill a gap.
How it shows up for local businesses
- Wrong hours or an old address.
- Services you don't offer, often borrowed from a similar business.
- Confusing your business with another of a similar name.
- Misattributed reviews or complaints.
How to reduce the risk
- Consistent facts everywhere, so there's nothing to contradict. See NAP consistency.
- Plain, complete information on your website: services, hours, areas, prices or insurance.
- A distinctive, consistently used business name.
- Fix outdated sources when you find them.
When you spot an error, report it through the AI product's feedback option and correct the source. See how to fix wrong information about your business in AI.