How AI Invents Product Facts (and How to Stop It)

What fabrication looks like

The model presents an attribute that was never in the source as established fact. Claims like "IPX7 rated" or "up to 100 minutes of battery life" become a serious trust problem when no document backs them.

Why it happens

• The source data is incomplete, so the model fills the gap itself
• The model generalises from patterns in the same product category
• The prompt never allows the model to say it does not know
• Content is published without a verification step

A concrete example

Ask for copy about a wireless headphone given only brand and model, and the model may invent battery life, noise-cancelling level and Bluetooth version. Even if a guess happens to be right, publishing it is a misleading claim you cannot defend.

How to prevent it

• Complete the product data before you generate anything
• Let the model leave a field blank when the value is unknown
• Keep a human editorial check before publishing
• Add a separate verification step for category-required attributes

How LinqCheck handles it

The LinqCheck Content Studio generates content only from supplied and verified product data. An unspecified attribute is never written into the copy; it is surfaced to you as a missing field instead. The result is a consistent page rather than a fluent invention.

Pre-publish checklist

• Can every number in the copy be traced back to a source?
• Do certification, warranty and compatibility claims match documentation?
• Are recurring misunderstandings from reviews addressed?
• Where category attributes are still empty, does the copy avoid implying them?