Automated counterfeit risk assessment across e-commerce platforms and open web to identify fake product listings, analyzing price anomalies, seller authenticity, image similarity, brand abuse, and consumer complaints to classify and prioritize enforcement action.

Without a proactive anti-counterfeit detection solution, these blind spots compound into real brand and revenue damage.
Fraudsters operate across platforms simultaneously, with no unified view; they're invisible until damage is done
Fake listings mirror your PDPs so closely that consumers and manual reviewers can't tell the difference
Suspiciously low prices are the clearest counterfeit signal, yet they go undetected without automated anomaly tracking
Your consumers are already flagging counterfeits in reviews, but without AI analysis, those signals never reach your enforcement team
When each attribute is reviewed in isolation, the full picture of a counterfeit operation stays hidden
Fraudsters operate across platforms simultaneously, with no unified view; they're invisible until damage is done
Fake listings mirror your PDPs so closely that consumers and manual reviewers can't tell the difference
Suspiciously low prices are the clearest counterfeit signal, yet they go undetected without automated anomaly tracking
Your consumers are already flagging counterfeits in reviews, but without AI analysis, those signals never reach your enforcement team
When each attribute is reviewed in isolation, the full picture of a counterfeit operation stays hidden
Fraudsters operate across platforms simultaneously, with no unified view; they're invisible until damage is done
Fake listings mirror your PDPs so closely that consumers and manual reviewers can't tell the difference
Suspiciously low prices are the clearest counterfeit signal, yet they go undetected without automated anomaly tracking
Your consumers are already flagging counterfeits in reviews, but without AI analysis, those signals never reach your enforcement team
When each attribute is reviewed in isolation, the full picture of a counterfeit operation stays hidden
Fraudsters operate across platforms simultaneously, with no unified view; they're invisible until damage is done
Fake listings mirror your PDPs so closely that consumers and manual reviewers can't tell the difference
Suspiciously low prices are the clearest counterfeit signal, yet they go undetected without automated anomaly tracking
Your consumers are already flagging counterfeits in reviews, but without AI analysis, those signals never reach your enforcement team
When each attribute is reviewed in isolation, the full picture of a counterfeit operation stays hidden
From listing discovery to enforcement-ready classification, fully automated, zero manual triage.
Counterfeiting isn’t one problem - it’s four. Each type targets your brand differently. Our system identifies and classifies every form, so enforcement teams always know exactly what they’re dealing with.

When your brand name is used to sell products outside your portfolio.

Sellers who copy your trademarks, logo, or packaging to pass their goods off as yours.

Products that look like yours but aren't, operating in SKU gaps your catalogue doesn't cover.

Direct, unauthorized counterfeit products, built to deceive buyers and infringe your trademarks.
Early Detection of Counterfeit Listings
Risk-Based Enforcement Prioritization
Reduced Consumer Harm & Complaints
Protection of Brand Equity & Marketplace Trust
Operational Efficiency at Scale
Regulatory & Compliance Readiness
Explore how our Brand Protection solution helps identify impersonation, trademark infringement, phishing domains, social media abuse, and other forms of digital brand misuse.
Explore Brand ProtectionFour categories: Exploitation (brand name used to sell unrelated products), Passing Off (copied trademarks or packaging), Fakes (lookalike products filling SKU gaps in your catalogue), and Actual Counterfeits (direct unauthorized replicas built to deceive buyers).
It runs multi-attribute risk analysis across PDP structure, brand name usage in the title, price anomalies, seller authenticity signals, review keywords, and image similarity versus your standard product assets, then scores each listing rather than issuing a blanket flag.
Suspiciously low prices relative to your standard ASP are one of the clearest indicators of a counterfeit or unauthorized listing, yet they often go untracked without automated, continuous price anomaly monitoring across marketplaces.
Yes. Consumers frequently flag counterfeits in review text before brands notice, but without AI-based analysis of review keywords and complaint patterns, those signals typically never reach brand enforcement teams in time to act.
It's continuous. The three-stage pipeline, data ingestion, multi-attribute analysis, and risk-based classification, runs on an ongoing basis, giving brands a consolidated, prioritized view across channels rather than a single point-in-time report.
Counterfeit detection is marketplace listing-focused (fake products, unauthorized sellers, price violations). Brand protection is broader, covering phishing, fake social handles, copycat apps, and impersonation, counterfeiting is one specific form of brand abuse it also addresses.
See how our AI-driven counterfeit risk assessment can be deployed across your brand presence, with actionable classifications from day one.