Corsearch, a global leader in trademark and brand protection, today unveiled Corsearch Zeal 2.0, an AI-native platform designed to transform how brands combat counterfeiting and online abuse. Moving beyond traditional takedown volume metrics, Zeal 2.0 offers an outcomes-driven approach, providing brands with real-time visibility into online channel health and powerful tools to proactively neutralize threats with unmatched speed and precision.

Innovations Powering Zeal 2.0’s Intelligence-Led Brand Protection:

• Cleanliness Score™: A proprietary, real-time metric that transparently measures a brand’s online health, quantifying consumer and commercial risk beyond simple takedown counts.

• Deep Semantic Detection & AI Search: Advanced AI-powered indexing, image recognition, and cross-brand datasets uncover sophisticated infringements, even when disguised or lacking explicit brand identifiers.

• ‘Search, Enrich, Act’ Automation Engine: This AI framework dramatically boosts efficiency by dynamically generating keywords, auto-classifying content with high precision, and automating enforcement for faster takedowns and higher success rates.

• AI-Native Architecture: Built from the ground up to process up to 150,000 listings per client daily, enabling scalable, industry-defining innovations beyond bolt-on AI solutions.

Corsearch CEO Abel Clark highlighted the paradigm shift: “The era of vanity metrics in brand protection is over. Zeal 2.0 empowers brands with near real-time threat visibility, adaptive risk assessment, and prioritized enforcement delivering clear ROI and consumer protection.”

Matteo Amerio, President of Brand and Content Protection, emphasized: “Corsearch Zeal 2.0 gives brands mastery over their online distribution through speed, efficiency, and AI-driven precision, building on our 75-year legacy.”

Additional features include automated reporting, SKU detection, machine learning-driven keyword generation, and advanced risk clustering — providing a comprehensive suite for modern brand protection challenges.