The Allergen Crisis: A Food Manufacturer's Fight Against AI Legal Risk

A Customer Review Started Everything

Ayşe was the quality assurance manager at a major food manufacturer. One morning, the social media team sent an urgent message: a customer had posted on Instagram — "I asked ChatGPT, and it says X brand's Y biscuit contains gluten. I'm celiac and I've been eating it for years!"

The biscuit was actually gluten-free. It was certified. But ChatGPT said otherwise, and thousands of people could trust this information.

The Scale of the Problem

Ayşe checked all 25 products across AI platforms. The result was alarming: 18 products had incorrect allergen information on at least one LLM.

Ground Truth Allergen Scanning

In AURA's Ground Truth, they scanned all 25 products. Legal Risk tagged errors — where "does not contain" was shown as "contains" — appeared at the top in red.

The Fix

NutritionInformation schema added to every product page, digital copies of product labels uploaded, certification data marked with structured data, and a press release published with the complete allergen table.

The Result

After 6 weeks: allergen accuracy for all 25 products reached 100%. Monthly automated scanning now catches any new errors instantly.

"This isn't just a marketing issue. It's about people's health."