Negative Claims

“Nut-free” is the hardest claim for AI to verify.
CITAQ verifies it.

Negative claims — what a product does not contain or does not do — are the primary purchase decision in food, supplement, and cosmetics markets. CITAQ verifies them the same way it verifies positive claims: evidence submission, evaluation, and cryptographic record.

The Structural Problem

AI agents are trained on positive assertions. Absences are invisible to them.

The internet describes what things are. Rarely what they are not. When a shopper asks ChatGPT “which protein powder is safe for celiac disease,” the AI must cross-reference negative claims across potentially thousands of products. Without verified negative claim data, it faces three bad options:

Option 1: Hedge. "Check with your doctor." A non-answer that drives the consumer away.
Option 2: Infer from ingredient lists. Probabilistic. Error-prone. Potentially dangerous.
Option 3: Trust user reviews that mention safety. Consensus-based. Manipulable.

A verified negative claim changes this entirely. An AI agent querying a product with a CITAQ-verified “gluten-free” claim backed by an ISO/IEC 17025 accredited allergen test receives a deterministic answer: VERIFIED, L5, [lab name], [date], [hash]. The agent responds with confidence.

The stakes in this category are not marketing stakes. A wrong allergen recommendation in food is a potential health emergency. AI systems are strongly incentivised to preferentially cite verified sources. Verified negative claims become the highest-confidence citation available for high-liability queries.

The Verification Process

An absence requires active proof. CITAQ maps the evidence requirements.

You cannot prove an absence from a description. CITAQ requires active evidence for negative claims. The evidence level required depends on the claim's safety implications.

L2Manufacturer Documentation

Acceptable for: Non-GMO declarations, general 'free-from' marketing claims.

Not acceptable for: Allergen-free claims with safety implications.

L4Cryptographically Signed Lab Credential

Acceptable for: Intermediate allergen claims.

L5ISO/IEC 17025 Accredited Lab Test + Signed Credential

Acceptable for: Allergen-free claims (nut, gluten, dairy, shellfish, soy). Drug-interaction-free claims. Contaminant-free claims in supplements.

The evidence level determines how the AI agent treats the response. L5 evidence produces the highest confidence citation. L2 evidence produces a qualified citation. No evidence produces a SUPPRESSED state.

Market Context

Hundreds of billions of dollars in annual commerce depend on negative claims.

For merchants in these markets, the negative claim is often the only claim that matters:

$54.91B
Allergen-free food market (2025)
$93.81B
Allergen-free food (2033 projection)
$220B+
Dietary supplements globally
$45B+
Clean-label cosmetics globally

In all of these categories, approximately 45% of health-conscious consumers make purchasing decisions based on allergen or ingredient absence claims. AI agents in these categories are answering more queries than any other shopping assistant touchpoint.

CITAQ's verified negative claim infrastructure is a direct commercial asset for these merchants — not a compliance exercise.

See which of your negative claims are verified.

Every product gets a Citation Readiness Score. Your first 25 products are free. See which negative claims are currently SUPPRESSED in AI responses — and what evidence resolves each one.

Start CRS Trial for your first 25 products ->