One loop, from the first sweep to a confirmed removal

TracBrand builds its own search terms from your brand name, keyword variations, watchlisted names and the word marks read out of your trademark filings. Those terms go out across marketplaces, six social networks, video, app stores and the open web.

A multimodal vision model compares each candidate against your logo and registered IP, then returns a 0–100 confidence score, an infringement class and a risk level. Anything at or above the confidence threshold becomes a case; everything below is filed as cleared so it is never reviewed twice.

Findings that share sellers, domains, handles or infrastructure are grouped into seller clusters, so you enforce against an operation rather than playing whack-a-mole with individual listings.

TracBrand drafts a notice in the format the receiving platform expects, cites the trademark evidence from your document vault, and routes it to the right abuse channel once a human approves it.

Unanswered notices are followed up automatically on a fixed cadence. Suspects that survive are watched for behaviour changes — a renamed handle, a new link, a follower surge — and resurfaced when something moves.