Artificial intelligence is changing how products are discovered, evaluated, and recommended. Product information is no longer only created for consumers or internal systems, but increasingly for AI agents, regulators, marketplaces, and digital ecosystems that rely on structured and verifiable data.

This whitepaper explores how Digital Product Passports are becoming a strategic layer between products, data, and AI-driven visibility. It examines why structured product information, traceability, and connected data systems are becoming essential for trust, discoverability, and compliance in an AI-mediated digital environment.

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What to expect from this report

AI systems do not simply read content. They evaluate signals, verify consistency, and assess whether product information is reliable enough to recommend, compare, or surface to users.

This report explores:

• Why product visibility is shifting from traditional search to AI-mediated discovery
• How AI systems interpret and evaluate product data
• Why structured and machine-readable product information matters
• The operational role of Digital Product Passports in AI-ready commerce

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Where the operational gap emerges

Most companies already possess product, traceability, and sustainability data. The challenge is that this information often remains fragmented across suppliers, teams, systems, and disconnected workflows.

As regulatory requirements and AI-driven discovery evolve, brands need product information that can move consistently across compliance, customer experience, internal operations, and external digital ecosystems.

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Where value is created

Digital Product Passports are becoming more than a compliance requirement. They create a connected digital layer that allows product information to become structured, reusable, and continuously updated across multiple use cases.

This enables brands to:

• Improve product transparency and traceability
• Increase trust in product and sustainability claims
• Support AI visibility and machine-readable discovery
• Create connected product experiences across digital and physical touchpoints

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Why this shift matters now

AI systems are increasingly becoming intermediaries between brands and consumers. The ability of AI agents to identify, understand, verify, and recommend products will depend on the quality and structure of underlying product data.

The question is no longer whether brands possess data. It is whether that data can be trusted, interpreted, and activated across AI systems, compliance workflows, and connected product ecosystems.

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