AI-Generated Content – Definition

Product descriptions, campaign copy, or translation drafts produced by generative AI tools, typically as a starting draft rather than final published text.

AI-generated content needs the same approval status as any other draft, plus a connection to verified product data to avoid plausible-sounding but factually wrong claims. Volume, not risk type, is what makes governance more important, not less. The specific failure mode worth guarding against is content that sounds authoritative and well-written while being factually incorrect — a generative model can produce a fluent, confident description of a feature that doesn't exist, and that fluency makes the error harder for a reviewer to catch than an obviously garbled draft. Grounding generation in verified structured product data rather than letting the model generate facts freely significantly reduces this risk, though it doesn't eliminate the need for human review.