Product claims should be
inspectable before
AI systems rely on them.
CITAQ is building infrastructure that connects product claims to structured evidence and machine-readable verification records. Its first live module, CRS, helps Shopify merchants identify the product-data gaps that must be resolved first.
unverifiable claims
from false product claims
25 products · no card required
Why merchants start with readiness.
Before a product claim can be verified, the product itself has to be consistently identifiable, retrievable, and structurally understandable by machine systems. CRS identifies those foundational gaps first.
CRS diagnoses whether product information is machine-ready. The broader CITAQ platform is being built to connect product claims to inspectable evidence and verification records.
Before a product claim can be verified, the product has to be consistently identifiable, retrievable, and structurally understandable. CRS identifies those foundational gaps.
CRS evaluates each product according to its type — finding what is present, missing, buried in text, or conflicting — then ranks the highest-impact corrections.
CRS never edits your store or invents product facts. It identifies what needs to exist before claims can be linked to evidence and verified.
The model is working correctly.
The source is broken.
Every AI agent — Google AI Mode, ChatGPT, Perplexity — has the same problem: they consume product data written by merchants and reproduce it as fact. With no way to check if the claim is real.
The market is waking up to this.
Nate B Jones, a well-known AI strategy creator behind AI News & Strategy Daily with 291K subscribers, described the exact infrastructure gap CITAQ fills.
Each necessary. None sufficient alone.
The integration is the moat.
Machine-readable attributes
Converting unstructured product descriptions, PDFs, and specs into semantically structured formats AI agents can parse without ambiguity. "navy blue" → "#1a237e".
Per-claim taxonomy
Extracting and classifying every assertion a product makes — Performance, Safety, Compliance, Origin — and what evidence each type requires to be considered valid.
Per-claim verdicts
Evaluating each claim against submitted evidence. Four-way verdict: APPROVE · SUPPRESS · REQUIRE_EVIDENCE · DOWNGRADE. Machine-readable. Cryptographically bound. In development as part of the CITAQ platform.
10 evaluation stages being built.
Every product claim. Every piece of evidence.
Four verification postures.
Every product. Every claim.
All material claims verified with required evidence. No adversarial signals. Agents can cite with full confidence.
All verified. Evidence approaching expiry or minor freshness concerns. Agent-trusted with a freshness flag.
One or more performance claims suppressed pending evidence upgrade. Remaining claims still verified.
Multiple claims suppressed or evidence invalid. Flagged to buyers prominently. Agent citation restricted.
Same product. Same claim.
Completely different AI answer.
CRS for Shopify.
Start with catalog readiness.
CRS is CITAQ's first live module. Connect your Shopify store and get a per-product score showing whether each product is crawlable, identifiable, structurally complete, internally consistent, and supported by the fields expected for its product type.
Citation Readiness Score for Shopify
A 0-100 readiness score with dual CRS-R (retrieval) and CRS-C (citation) scoring. Crawlability check, ranked recommendations, and reverification after edits. No content editing. No copy generation. No store writes.