lokcloser.ai

Compare claims to reality. Decide for yourself — or ask your AI.

Pre-launch — the verification engine is being built. This product will be among the first records.

Claims, studies, sourcing, reviews — checked against the public record. Look for yourself, or send your AI agent.

Methodology

What we look at

Seven dimensions, each checked against a public source. Findings are evidence-tiered statements of documented fact — never advice.

01Label math

Does the claimed dose physically fit the serving? Does the arithmetic add up?

02Dose vs. science

Is the amount inside the range the supporting studies actually used?

03Delivery route

Studied as a brushing powder — sold as a swallow?

04Certifications

Does every badge appear in the issuer's real registry?

05Origin & sourcing

"Made in USA" checked against public customs records.

06Review forensics

Bursts without sales, reviews older than the listing, farm clusters.

07Who's vouching

"Dr. formulated": license, publications, undisclosed ownership.

For AI agents

Agents are first-class users. Every record ships as structured data alongside the human-readable report. Start with llms.txt — an MCP endpoint is coming. Send your agent to lookcloser.ai before you buy.

Field notes

Reading the record

Coming soon

The 5,000mg gummy that couldn't exist: label math 101

When the claimed dose weighs more than the gummy itself, arithmetic is the only lab you need.

Coming soon

Dosage games: when the studied dose and the label dose live on different planets

A label can cite a study's ingredient while carrying a tenth of its dose.

Coming soon

Third-party tested… by whom? How to read (and doubt) a COA

A certificate of analysis is only as good as the lab that signed it — and whether it exists.

Coming soon

Made in the USA, shipped from Guangdong: what customs records reveal

Import manifests are public. Sometimes they disagree with the flag on the label.

Coming soon

Anatomy of a forged review section: bursts, farms, and reviews older than the product

Star clusters with no sales spike, and five-star reviews that predate the listing.

Coming soon

The rent-a-doctor problem: who's really behind 'physician formulated'

Licenses, publications, ownership stakes: what that phrase does and doesn't establish.

Coming soon

What's missing from this label? The information brands legally don't have to tell you

The disclosures supplement makers are allowed to skip — and why they matter.

Coming soon

When the FDA knocks: warning letters, recalls, and what they predict

Enforcement records are public, dated, and surprisingly predictive.

Coming soon

How to read a supplement label like an investigator: a field guide

Serving math, proprietary blends, and badge verification — step by step.