AI-Powered Counterfeit Detection

    Identify Counterfeit Listings. Safeguard Your Brand Equity

    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.

    AI-Powered Counterfeit Detection
    30+
    Risk signals analyzed per listing
    4+
    Tiered classification: scored, not just flagged
    24/7
    Continuous monitoring across digital channels

    Five Gaps That Counterfeiters Are Exploiting Right Now

    Without a proactive anti-counterfeit detection solution, these blind spots compound into real brand and revenue damage.

    HOW IT WORKS

    The Three-Layer Automated Detection Pipeline

    From listing discovery to enforcement-ready classification, fully automated, zero manual triage.

    Stage 01

    Data Ingestion & Coverage

    • Brand & official product pages
    • E-commerce product listings
    • Unauthorized & third-party sellers
    Stage 02

    Multi-Attribute Risk Analysis

    • Product URLs & PDP structure
    • Brand name usage in title
    • Price anomalies & violations
    • Seller authenticity signals
    • Review keywords & poor ratings
    • Image similarity vs. standard assets
    Stage 03

    Risk-Based Classification

    • Each listing scored across all attributes
    • Tiered output to prioritize enforcement
    • Consolidated view across all channels
    Ready to protect your brand at scale?Explore the Solution
    TYPES OF COUNTERFEITS WE UNCOVER

    Four Ways Brands Get Faked. We Stop All of Them.

    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.

    Exploitation icon

    Exploitation

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

    Passing Off icon

    Passing Off

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

    Fakes icon

    Fakes

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

    Actual Counterfeits icon

    Actual Counterfeits

    Direct, unauthorized counterfeit products, built to deceive buyers and infringe your trademarks.

    WHY mFilterIt?

    What Our Counterfeit Detection Solution Delivers

    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

    Counterfeits Are Just One Form of Brand Abuse

    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 Protection

    Frequently Asked Questions

    Four 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.

    Ready to take back control of your brand equity?

    See how our AI-driven counterfeit risk assessment can be deployed across your brand presence, with actionable classifications from day one.