You're not buying products.
You're buying claims.
See what's actually behind them.
NORM measures how closely a brand's public claims align with the evidence the brand makes accessible.
Three verdicts.
One question: did they show their proof?
NORM doesn't review products. It measures whether a brand's visible evidence actually supports what it claims — across what the brand makes publicly accessible.
A red signal means ask more questions, not that the product is bad. A green signal means the brand has shown their proof — not that it works for you personally.
Extract
Every marketing claim pulled and tagged by location. Hero headlines weighted 3× more than footer disclaimers — because that's where brands put what they most want you to believe.
Match
Study links, certifications, dosage panels, and third-party testing matched against each claim across the brand's publicly accessible pages.
Score
Six dimensions measured. The gap between what's claimed and what's visibly supported — quantified and on the record.
Compound
Persistent evidence vaults track score history, claim receipts, and evidence freshness. When content changes, NORM re-evaluates automatically.
Scores are produced by the NORM Signal Engine™ v1.0 — based on what brands publicly show on their websites. These are not legal, medical, or regulatory judgments.
Scores can't
be bought.
The signal is only worth something if it can't be gamed. Every decision we make is built around protecting that.
No brand payments influence scores
The only path to a better score is making stronger evidence visible on the actual product page. That creates exactly the pressure toward transparency that we exist to create.
Some brands are already doing it. Their signal shows.
Revenue from consumers and data — never from brands being scored
Revenue comes from consumer subscriptions and data products — never from the brands we score. The flow chart shows exactly what's in and what's out.
The score is only
the surface.
Beneath every NORM Score is a structured record of the claims evaluated, the evidence located, the connections identified and the gaps that remain.
NORM does not review products or decide whether they work. It measures what a brand asked the public to believe against what the brand made available to support it.
Every score leads back to the claims evaluated, the evidence located and the gaps identified.
A living record of
commercial claims.
Brand language changes. Evidence pages move. Sources disappear. New claims appear. NORM captures public-facing claims and evidence over time, so each assessment reflects what was publicly accessible when it was analyzed.
AI agents don't
watch your ads.
When a consumer asks an AI to find the best magnesium supplement, the agent won't click an Instagram ad. It will need a trust signal — a structured, independent evaluation of what's real. That's what NORM builds.
The same structured data serves everyone interpreting commercial claims — not just AI systems.
Scoring the brands behind
your feed.
Every supplement brand promoted by a major wellness creator — Huberman, Rogan, Attia, Lex — is tracked and scored by NORM. Not because we have a relationship with the creators. Because the brands they promote make public claims, and those claims have measurable evidence gaps.
Things people
ask us.
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.