Hallucination is the phenomenon where AI generates content that is not true but presents it as plausible fact. Common examples include statistics that do not exist, incorrect citations, and company information that differs from reality.
Why does AI make up facts that do not exist
Generative AI does not retrieve correct answers. It predicts the next word based on probability. Because sentences flow smoothly even in areas where evidence is thin, incorrect content comes out in a natural-sounding form.
- Recent information not in the training data
- Niche topics where information is sparse
- Brands whose naming is scattered, making the entity hard to pin down
What problems does this cause for our brand
In GEO, hallucination is not someone else's problem.
- Your company information may be answered incorrectly.
- You may be described as offering services you do not provide.
- Your information may get mixed up with competitors'.
The less information available, the more AI fills the gaps with guesses. Keeping official information well organized is itself a defense.
How do you reduce hallucination
- Put factual information clearly on official pages and mark it up with structured data.
- Keep entity naming consistent to reduce confusion about who is who.
- Present evidence alongside claims so grounding is possible.
- Check actual AI answers regularly to catch errors.
Notes
When measuring AI answers, 238LAB looks not only at whether a citation happens but also at whether the information is accurate. An incorrect citation is not exposure. It is risk.