Adobe Commerce AI Product Discovery: Make Your Catalog Visible to AI Agents

Adobe Commerce (Magento) now includes a native AI product discovery capability that exposes structured catalog data to AI shopping agents, including ChatGPT, Gemini, and more. From April through June 2026, AI-sourced traffic to US retail sites grew 125% year over year. With this growth, brands should now ensure their product catalogs AI agents can read, interpret, and recommend throughout. However, the brands that overlook well-prepared catalogue preparation will find that no amount of SEO or paid media investment will fix it.

Adobe Commerce (Magento) AI product discovery changes that. In this guide, understand what it is, what it delivers commercially, and what merchants need to do to make their catalog visible in the channels where product discovery is growing fastest.

What is Adobe Commerce AI Product Discovery?

Most merchants view product discovery as a search and SEO problem, believing that getting the right keywords in the right places will surface the right products. AI discovery breaks the assumption.

When a buyer asks ChatGPT "which industrial pump handles corrosive liquids at high temperature," the AI does not scan for keyword matches. It reasons across structured product data to find attributes, specifications, compatibility information, and use-case context. A product with a rich, well-attributed catalog entry gets recommended, excluding a product with a generic description and incomplete attributes, regardless of how well it ranks on Google.

Adobe Commerce (Magento) Catalog Agent addresses product visibility on AI platforms. It enriches product names, descriptions, and use case phrases within the Commerce catalog and exposes that data in a machine-readable format AI agents can parse. This requires no storefront redesign, with the enhancement sitting beneath the human shopping experience, invisible to buyers but essential for AI visibility.

Adobe Commerce: Product Data Quality is Now a Revenue Decision

According to Adobe's own measurement, individual Adobe Commerce (Magento) product pages currently score just 66% on machine readability, the lowest of any major page type. On average, 1 in 3 product pages in an Adobe Commerce (Magento) store is not fully readable by AI agents right now. The following are the commercial consequences:

• AI agents will reach brand homepages and not product pages.
• Merchants will receive AI traffic but lose it before it reaches the products that convert.

Today, AI-powered search increases conversion rates by 20-40% by delivering more relevant results. Adobe Commerce semantic search, which became generally available on June 8, 2026, gives merchants the infrastructure to capture that uplift. Yet, incomplete product attributes, generic descriptions, and missing relationship data limit what AI can surface.

With Adobe Commerce AI Product Discovery, businesses can observe:

• Products become easier for AI-powered shopping experiences to find, understand, and recommend
• AI assistants provide more relevant answers because they have access to richer product context
• Brands reduce dependency on keyword optimization as structured product intelligence supports intent-based discovery
• The catalog becomes a strategic business asset rather than simply a product database

The Adobe Commerce AI Product Discovery List: What Merchants Should Act On

Adobe Commerce (Magento) AI product discovery is a set of capabilities that work together to make catalog data machine-readable across AI discovery channels.

Adobe Commerce Catalog Agent

Enriches product names, descriptions, and use case phrases directly within the Commerce catalog. Enhancements made at the source flow automatically to every downstream surface, including storefronts, advertising pipelines, marketplaces, and AI-powered discovery experiences.

Adobe Commerce Semantic Search

Interprets the meaning and intent behind a shopper's query rather than matching exact keywords. A query for "lightweight trail running shoes for marathon training" returns relevant products even when those exact words do not appear in product titles or descriptions.

Exact Match Prioritization

This is currently in private beta, ensuring products that precisely match shopper intent appear more prominently in search results.

Intelligent Ranking Configuration

Available in public beta, giving merchants greater control over how search results are ranked and presented.

The Adobe Commerce Storefront MCP Server

Exposes live Commerce data to AI agents, allowing them to search the product catalog, retrieve real-time pricing and inventory, and complete checkout without custom integrations.

To prepare for AI catalog discovery, merchants can:

• Audit product attribute completeness across top SKUs
• Enrich product descriptions with use case context along with technical specifications
• Configure Catalog Agent to expose structured data correctly
• Enable semantic search if not already active
• Validate machine readability scores across product pages before peak season

Adobe Commerce AI Product Discovery: What it Means for B2B Brands?

The AI product discovery opportunity for B2B merchants on Adobe Commerce (Magento) presents a level of complexity that DTC merchants do not face. Company-specific pricing, restricted product catalogs, and contract-based availability cannot be exposed to AI agents without careful access control configuration.

The specific areas require attention before a B2B Adobe Commerce catalog is AI-ready:

• Company account permissions: Catalog Agent must adhere to existing B2B access controls. A procurement manager using an AI shopping assistant should see their contracted catalog and negotiated rates, not the public price list.
• Customer group and ERP-connected pricing: Contract-based pricing must flow correctly through Adobe Commerce before Catalog Agent can expose it accurately. An AI agent retrieving incorrect pricing damages buyer trust faster than any other catalog error.
• Shared catalog and restricted SKU management: Along with single global exposure, Catalog Agent needs configuring per buyer segment.

For B2B merchants managing complex catalogs and ERP-connected pricing, Adobe Commerce (Magento) LLM product discovery readiness is a development engagement.