Large language models cannot reliably distinguish between factual data and corporate lies. This vulnerability allows bad actors to poison training sets with false brand claims. Forbes warns that businesses now face systemic reputation risks. Practitioners must implement stricter data verification pipelines to prevent LLMs from hallucinating or amplifying deceptive marketing as objective truth.