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An in-house team of 20+ engineers and analysts serving clients in 12+ countries.

About us
Brand protection

Surface likely counterfeits before customers find them.

Counterfeit listings rarely announce themselves, but they share signals: implausible prices, reused brand imagery, misspelt names and new sellers with thin histories. We collect listings that mention your brand or products and score each one for counterfeit risk, so your team reviews the right listings first.

How it works

Four steps from sources to signal.

STEP 01

Search widely, including variants

We search for your brand, product names, model codes and common misspellings or look-alike terms, across marketplaces, classifieds and public social storefronts.

STEP 02

Extract risk signals

Each listing is checked for price well below market, reuse of your official images, logo alterations, missing warranty statements, seller age and location.

STEP 03

Score and rank

Signals are combined into a transparent risk score. The score is explained per listing so reviewers can see which signals triggered it.

STEP 04

Watch for relisting

Removed listings are fingerprinted by image and text, so reappearances under new accounts are detected and linked to the original case.

Data points

What we capture.

Every field is validated, normalised and documented in a data dictionary you can share with your analysts.

Price anomaly

Listing price relative to the typical market price for the SKU.

Image match

Whether images match or alter your official assets.

Name and logo variation

Misspellings, look-alike terms or altered marks in the listing.

Seller age and history

Account age, rating count and prior removals where visible.

Ship-from location

Stated origin of the goods.

Risk score and reasons

Combined score with the signals that contributed to it.

Deliverables

What you receive.

  • Weekly high-risk listing queue for review
  • Evidence pack per listing with screenshots and signals
  • Alert when official images appear on an unknown listing
  • Relisting tracker linking new listings to removed ones
  • Risk heat map by platform and market
Built for
Brand protection and anti-counterfeiting
Legal and IP counsel
Consumer safety and quality
Customer service
Sample output

An illustrative extract.

Counterfeit risk queue for a luxury accessories brand, 5 September 2026
Listing titleMarketPlatformPriceMarket medianSignalsRisk score
Leather card holder monogramUAEMarketplace AAED 89AED 1,150Price, image reuse92
Designer belt reversible 110cmIndonesiaMarketplace BIDR 285,000IDR 6,900,000Price, logo variant88
Silk scarf 90x90 printFranceClassifieds CEUR 65EUR 420Price, new seller74
Crossbody bag miniBrazilMarketplace DBRL 399BRL 8,200Price, ship-from81
Sunglasses aviator goldAustraliaMarketplace EAUD 210AUD 480New seller41

Illustrative rows. Sources, markets and fields are agreed with you during scoping.

FAQ

Questions about counterfeit listing detection

Can’t find your answer? Ask an engineer

Do you confirm that a listing is counterfeit?

No. We identify and score risk signals from public information. Confirmation requires product inspection or a rights holder's determination, which remains with your team or enforcement partner.

How is the risk score built?

It combines weighted signals such as price anomaly, image reuse, name variations and seller history. Weights are agreed with you and tuned over time using the outcomes of your reviews.

Can you detect when our product photos are reused?

Yes. We compare listing images with your official assets using image similarity, which catches crops, resizes and minor edits as well as exact copies.

Start with proof

See your own data before you commit.

Name the sources and fields you need. Within 24–48 hours you receive a real sample from your target sites, in your format, free of charge.

Request a free sample Talk to a data engineer Sample in 24–48 hours · NDA on request · Any format, any schedule