PUBLIC BETA · ZERO PUBLISHED V1.1 ASSESSMENTS · NORM V1.1 IS A PUBLISHED DRAFT UNDER IMPLEMENTATION AND VALIDATION
Public claim accountability

You're not buying products.
You're buying claims.

NORM examines claims, evidence and sales tactics across the wellness industry, helping people understand what they’re being sold before they buy.

Our consumer reviews use AI-assisted research. Coverage is limited to published reviews; the separate v1.1 claim method remains a draft under validation.

Read the draft method Read the AG1 review
Published methodology
Calibration data excluded
Corrections open
Claim record anatomy

A finding must show
its work.

A defensible public finding must lead back to the claim captured, the evidence located, the match analysis, the limitations, and the review status.

Claim captured
“Supports deeper sleep.”
Evidence shown
An ingredient study linked by the hypothetical brand.
Match analysis
The study concerns the ingredient. The connection to the specific product, dose, use conditions, and stated outcome is not yet established.
Limitation
This example teaches the record structure. It is not a real brand assessment or a validated NORM finding.
Commercial separation

Payment does not buy
a public finding.

NORM may charge brands and other organizations for private workflow tools, data access, monitoring, or implementation support. Governance controls for that separation are under development.

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Public findings are not for sale

Paid access may provide tools or data. It does not purchase a public score, ranking, finding, or favorable treatment.

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Paid relationships must be disclosed

If a scored organization buys a NORM service, that relationship must be disclosed near the public record and governed through documented controls.

Where money flows
✔  Pro subscribers
→ NORM
✔  Retailer intelligence
→ NORM
Permitted revenue includes consumer features, data products, private workflow tools, and implementation support. Payment does not purchase a public finding.
✕  Brands paying for better scores
BLOCKED
✕  Advertiser product promotion
BLOCKED
✕  Affiliate commissions per click
BLOCKED
✕  User data sold to scored brands
BLOCKED
Separation policy — governance controls under development
Versioned records

A time stamped record of
commercial claims.

Brand language changes. Evidence pages move. Sources disappear. New claims appear. Each NORM record must state what was captured, when it was captured and which method produced the finding. No fixed reassessment cadence is currently promised.

Claims captured
Evidence connected
Gaps identified
Changes tracked
Assessments timestamped
The shift

AI agents don't
watch your ads.

When a consumer asks an AI about a wellness product, the system needs traceable source records rather than unsupported marketing language. NORM is building structured claim and provenance records for that use.

What v1.1 is designed to record
✔ Cited studies on the product page
✔ Testing certificate and stated scope
✔ Product, formulation and use conditions
✔ Claim wording and materiality
✔ Source date and study design
What does not establish claim support
✕ Influencer endorsements
✕ Ad spend and retargeting
✕ Packaging aesthetics
✕ Brand narrative and lifestyle copy
✕ "As seen on" badges

The same structured data serves everyone interpreting commercial claims — not just AI systems.

One system. Multiple uses.
Consumers
Understand what evidence a brand makes visible.
Brands
Identify claims with missing, unclear or difficult-to-locate public support.
Retailers and media
Screen claims and compare transparency across large sets of brands.
AI and commerce systems
Interpret structured claim-evidence relationships instead of relying on marketing language alone.
Request brand pilot access →
Questions

Things people
ask us.

Does a NORM finding mean a product works?
No. NORM evaluates whether a public marketing claim aligns with evidence made visible for that claim. It does not determine product efficacy, safety, medical suitability, legal compliance or whether a consumer should buy the product.
Can brands pay for a higher score?
No. Payment does not buy a higher public score, ranking, finding, or favorable treatment. NORM may sell private tools, data access, monitoring, or implementation support to brands and other organizations. Paid relationships must be disclosed, and the governance controls separating commercial work from public assessment are still under development.
When will NORM publish a validated index?
Only after complete claim records, provenance, arithmetic tests, reviewer controls, reliability measurement, external method review and correction procedures pass the published validation gates. NORM does not currently promise a date.
What counts as evidence?
Eligible evidence depends on the claim. A study, testing certificate, audit or technical document must be identifiable and assessed for what it actually establishes. A quality or identity certificate does not by itself substantiate a health outcome. The published draft defines the evidence boundary and matching rules.
What is the difference between the score and the record?
The legacy v8 scores were calibration runs and are excluded from public coverage and rankings. A future v1.1 record is designed to expose the individual claim, source, match analysis, limitations, provenance, method version, and review status underneath any summary finding.
The long view

Building the evidence layer
for modern commerce.

As product discovery shifts from search results to AI-generated answers and autonomous recommendations, commercial claims need a clearer, machine-readable record. Beginning with wellness, NORM is building that record—one claim, source and captured assessment at a time.

May the best brands win — for being the best.

Browse the registry → Read the draft method
Version 1.1 findings will require documented provenance and human review status. Legacy test runs are excluded from the registry.
© 2026 BHVD Inc.  ·  NORM public beta  ·  Published draft methodology