Find every fake version of your brand, and take it down
TracBrand sweeps ten surfaces for people trading on your name, proves each case against your registered marks with multimodal AI, and files the platform-correct takedown — continuously, without an analyst having to start it.
- Marketplaces
- Social media
- Video
- App stores
- Domains
- Open web
Surfaces
- Open web34
- Instagram18
- Facebook11
- TikTok7
- X4
- LinkedIn—
- YouTube—
- App Store—
- eBay—
Latest verdict
instagram.com/vantara.outlet.store
meta · awaiting approval
cert · phishing
What the platform covers
- 10
- Detection surfaces sweptMarketplaces, social, video, apps, open web
- 6
- External exposure feedsCertificates, phishing, code, scans, leaks
- 6
- Infringement classes scoredCounterfeit through to domain squatting
- 24/7
- Unattended monitoringPer-brand cadence from 5 minutes to weekly
The problem
Brand protection rarely fails at detection. It fails after it.
Almost every programme can produce a list of suspicious links. The work that actually removes infringement is the part that does not scale with headcount — and that is the part TracBrand automates.
Detection hands you a queue, not an answer
Keyword alerts scale linearly with noise. Somebody still has to open every link, decide whether it is really you, and close the rest. That person becomes the bottleneck within a month.
What TracBrand does
TracBrand judges each candidate against your logo and registered marks before it reaches a human, and permanently remembers everything it clears.
Evidence gets reconstructed after the fact
By the time a notice is written, the listing has changed, the screenshot is gone, and the trademark reference is copied from a spreadsheet. Platforms reject on exactly this.
What TracBrand does
Evidence is captured at detection: the image comparison, the confidence score, the class, the risk level, the rationale and the cited mark from your own filings.
Notices stall in inboxes and nobody notices
The hard part is not sending the first notice. It is knowing which of last month's ninety notices were quietly ignored, and chasing them without a spreadsheet.
What TracBrand does
Every sent notice is tracked to a response and followed up automatically on a fixed cadence, up to three times, before it is surfaced for escalation.
How it works
Five stages, one continuous loop
Everything a finding goes through, from the first sweep to a confirmed removal. Humans approve; the platform does the rest.
- 01
Discover
Ten surfaces swept on your schedule
- 02
Verify
Every suspect judged against your real assets
- 03
Cluster
Repeat offenders linked into networks
- 04
Enforce
Platform-correct notices, drafted and sent
- 05
Monitor
Silence chased, changes tracked
Coverage
Ten surfaces for brand misuse, six feeds for external exposure
Detection surfaces find people using your brand. Exposure feeds watch your own domains and infrastructure. Both land in the same queue, graded the same way.
Detection surfaces
10Open web
Counterfeit storefronts, clone sites and unauthorised resellers anywhere Google indexes
Impersonator accounts, counterfeit sellers and brand-misuse posts
Fake brand pages, unauthorised shops and scam marketplace listings
TikTok
Impersonating accounts and counterfeit product promotion
X
Handle squatting, fake support accounts and scam campaigns
Fraudulent employee profiles and posts trading on your name
LinkedIn company pages
Cloned company pages used for recruitment and invoice fraud
YouTube
Pirated content, brand-misuse videos and fraudulent channels
Apple App Store
Copycat apps trading on your name, icon or screenshots
eBay
Counterfeit product listings and repeat-offender sellers
External exposure feeds
06Certificate transparency
A lookalike domain the moment someone issues an SSL certificate for it — usually days before the site goes live
Phishing feeds
Live phishing pages impersonating your brand to harvest customer logins
Public code search
Your domains, configuration or secrets committed to public repositories
URL scan corpus
Lookalike pages other researchers have already captured and published
Internet-wide scan data
Exposed servers, open admin ports and forgotten infrastructure on your domains
Leak intelligence
Breached or leaked data tied to your hosts and credentials
Classification
Six classes, because the response is different for each
A counterfeit listing, a fake support account and a lookalike domain need three different notices sent to three different places. TracBrand classifies before it drafts.
- Counterfeit
- Fake physical goods sold under your marks on marketplaces, social commerce or standalone stores.
- Impersonation
- Accounts, pages and sites posing as your business, your support team or your staff.
- Logo misuse
- Unauthorised use of your logo, wordmark or brand assets to imply endorsement.
- Piracy
- Your copyrighted video, audio, courses or software redistributed without licence.
- Gray market
- Genuine stock sold outside your authorised channel, undercutting pricing and warranty terms.
- Domain squat
- Typosquats, homoglyphs and lookalike domains registered to intercept your traffic.
Why TracBrand
Built to close cases, not to raise alerts
Your paperwork makes the hunt smarter
Upload your trademark and patent filings and TracBrand reads them. The word marks, legal owner and protected terms it extracts are injected into future search queries and into every AI judgement — so detection improves as your IP portfolio grows, without anyone writing a keyword list.
Evidence, not alerts
Each case carries the image comparison, the confidence score, the infringement class, the risk level and a written rationale. That is what a platform reviewer and your own counsel need, and it is captured at detection time rather than reconstructed later.
Threats you cannot see from the outside
Alongside brand misuse, TracBrand watches certificate transparency logs, phishing feeds, public code, scan corpora and leak intelligence for your own domains. Typosquats frequently surface days before the phishing site is live.
Enforcement that finishes the job
Notices are drafted in each platform's expected format and routed to the correct abuse channel. Silence is chased automatically on a fixed cadence, so nothing quietly stalls in an inbox.
Built for regulated teams
Organisation-scoped tenancy, five role types, and an audit trail across authentication, brand changes, case decisions and takedown approvals. Every enforcement action has a name and a timestamp against it.
Networks, not needles
Seller clustering links findings that share infrastructure, handles or sellers, so you can act against a whole operation and recognise it when it reappears under a new name.
Solutions
Start where the damage is
The same detection and enforcement engine, framed around the channel you are losing to or the team that owns the problem.
By channel
Marketplace counterfeits
Counterfeits come down; the sellers behind them get named
Social media impersonation
Fake accounts found, watched, and removed across six networks
Domains & phishing
Catch the lookalike domain before the phishing page exists
App store copycats
Copycat apps found before your customers install one
Rogue websites
Clone stores and scam sites, found the way buyers find them
Questions
Straight answers
Monitoring tools hand you a queue. TracBrand judges each candidate against your actual logo and registered marks before it ever reaches you, discards what does not match, drafts the platform-correct notice for the ones that do, and chases the response. The queue you see is decisions, not noise.
A brand name, your logo, your official domains, and any keyword variations or misspellings you already know about. Trademark and patent filings are optional but strongly recommended — the platform reads them and uses the extracted word marks to widen detection automatically.
No. Notices are drafted automatically but sit in draft until a human with the right role reviews and approves them. Follow-ups on an already-approved notice are the only automated sends.
Three ways. Your official domains and authorised sellers are allowlisted, names you explicitly exclude are dropped, and every remaining candidate has to clear a confidence threshold from the vision model before it becomes a case. Cleared candidates are remembered permanently so the same URL is never rated twice.
Yes. Any URL or image can be submitted for a scan and gets the same AI verdict, evidence record and takedown path as an automatically discovered finding. Teams typically use this for customer and employee reports.
Every record is scoped to your organisation, and that boundary is enforced on every query rather than in the interface. Users, brands, cases, notices and documents are all tenant-scoped, and access is governed by five role types.
Our customers
See what is already out there under your name
A 30-minute working session against your own brand. We register your marks, run a live sweep across every surface, and walk through what comes back — no obligation, no prepared deck.