Optimize Product Data for Agentic Commerce

By 2030, 20% of digital commerce transactions will be executed through AI platforms using on-platform check-out or AI agents.  — Gartner, Optimize Product Data for Agentic Commerce, January 2026

AI agents are rapidly reshaping how buyers discover, evaluate, and purchase products and services. Traditional digital commerce strategies are no longer enough.

In this Gartner® report, learn why structured, enriched, and accessible product data is foundational to success in the emerging era of agentic commerce, and what organizations must do now to prepare.

Why This Report Matters To Us

AI platforms are evolving from discovery tools into transactional environments. As agent-driven buying journeys expand, product data must be:

• Structured and machine-readable
• Enriched with semantic and outcome-focused context
• Discoverable across AI platforms and agents
• Governed to ensure accuracy and trust

Organizations that fail to optimize product data risk diminished visibility, inaccurate representation, and missed opportunities in AI-driven channels.

What We Believe You’ll Learn

In Optimize Product Data for Agentic Commerce, Gartner® explores:

• How AI agents are transforming digital commerce
• The growing importance of structured and semantic product data
• Why traditional product specifications are no longer sufficient
• How to expand product data reach to AI platforms
• The role of emerging protocols like Model Context Protocol (MCP)
• Key actions and cautions for commerce leaders

Download the Gartner® report to understand the strategic shifts required now.

Gartner, Optimize Product Data for Agentic Commerce, January 2026.

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