Built for the moment shopping stopped being a search box

Why we built it

Marketplace listings were written for people: a persuasive title, five bullets that scan well, images that carry the story. AI shopping assistants read differently. They lean on structured attributes, specific and checkable claims, and complete catalogue data — and when a listing does not give them that, they recommend a competitor that does.

Most seller tooling still measures the old thing. GBNOX Radar measures the new one: how ready a listing is to be understood, trusted and recommended by an assistant, on a 0–100 scale you can trace back to the exact rule that took the points off.

How we build

Explainable by default. Every score component names the check it failed and the text that triggered it. If we cannot show you why, we do not show you a number.

Official APIs only. Amazon SP-API, Amazon Brand Analytics and the Walmart Marketplace API. No scraping, no browser extensions replaying your session, and nothing that puts your seller account at risk.

AI suggests, you decide. Rewrites arrive as side-by-side diffs. Nothing reaches a marketplace until a person approves it, and the approval is recorded.

Your data stays yours. Listing text is sent to our AI sub-processor only to produce the rewrite or summary you requested, and is not used to train models.

The company

GBNOX Radar is a product of GBNOX LLC, a software company registered in the State of Florida, United States of America. GBNOX builds AI-era software for online sellers and agencies — GBNOX Radar for marketplace intelligence, and BeaconPulsar for messaging and customer conversations. You can read more about the company at gbnox.com.

Registered address

GBNOX LLC5005 W Laurel StTampa, FL 33607United States

Current status

GBNOX Radar is in early access. Subscriptions are live and billed through Stripe, and your workspace is created as soon as payment is confirmed, with the login details emailed to you. Early access means the product is still growing quickly and we work closely with the people using it — we say so plainly here and at checkout because we would rather set the expectation than surprise you.