Wiki · citable explainer
Outdated data, name collisions, conflicting NAP, hallucination, and weak entity anchors cause misrepresentation.
Wrong answers usually reflect weak or conflicting entity evidence. Strengthen the canonical public record and reduce ambiguity.
Is wrong AI info always hallucination?
No. Often it is outdated or conflated evidence, not pure invention.
How do I correct it?
Publish a consistent canonical identity package and align major public surfaces to it.
Will one passport fix every model?
No single source controls all models. Stronger public evidence improves odds across systems.