What happens when an AI chatbot gives wrong information about your company?
Identify the source the engine is anchoring the wrong information to, correct or counter that source, and monitor for the correction to propagate through the engine's update cycle.
The instinct when an engine says something wrong is to try to correct the engine directly. That does not work and is not worth the time. The workable sequence is: identify the source the engine is citing or anchored to (AIQ™ shows this directly for retrieval-based engines, and pattern-matches against the training corpus for the rest); decide whether the right move is correcting that source (a Wikipedia edit request, a press correction to a published article, a structured-data fix) or strengthening competing accurate sources until the engine re-weights; execute the source-layer work; and track in AIQ across all eight engines until the correction propagates. Retrieval-heavy engines move within days. Training-baselined engines move on retraining cycles. The work itself is unglamorous but reliable when the source identification is correct.
Last reviewed: 19/05/2026