Published: August 18, 2026
Adobe Commerce launched Catalog Agent in August 2026, a native capability that adds a machine-readable structured product data layer to every product page, so AI shopping assistants such as ChatGPT, Microsoft Copilot, Claude, and Gemini can interpret and recommend products accurately. The launch responds to a 125% year-over-year increase in AI-driven traffic to US retail sites between April and June 2026, per Adobe Digital Insights.
What Catalog Agent Does to a Product Page
Catalog Agent enriches product detail pages with structured data for AI crawlers and large language models without changing what human shoppers see. The enriched data covers 6 fields: product names, attributes, specifications, compatibility, availability, and pricing. The capability is available across all Adobe Commerce deployment models.
According to the Adobe Commerce blog: “By exposing richer product names, attributes, specifications, compatibility, availability, pricing, and other relevant catalog data, this agentic capability gives AI applications greater confidence when interpreting and recommending products.” Adobe positions the feature as “the trusted product knowledge layer that enables merchants to participate in emerging AI shopping experiences today.”
Why AI Shopping Traffic Forced This Move
AI-driven traffic to US retail sites grew 125% from April–June 2026 compared to the same period in 2025, per Adobe Digital Insights. Shoppers increasingly ask AI assistants purchase questions — “which laptop should I buy for video editing under $1,500?” — instead of starting at Google or a retailer’s site. When an LLM answers, it recommends products from whatever data it can parse; product pages written only for humans and Google’s crawler are effectively invisible to AI shoppers.
Catalog Agent targets that AI discovery layer directly, distinct from traditional SEO and paid advertising. The sources do not claim the feature ranks products higher inside ChatGPT results — it makes catalog data legible so AI systems recommend with confidence.
Adobe’s Approach vs. Salesforce’s Commerce Agent
Adobe Commerce, built on the Magento platform, competes with Shopify, BigCommerce, and Salesforce Commerce Cloud for enterprise retailers. Salesforce took the opposite route in this race: Agentforce Commerce lets retailers sell through AI agents directly inside ChatGPT. Adobe’s Catalog Agent instead makes the merchant’s product catalog readable by any AI agent, regardless of which assistant the shopper uses.
What This Means for Ecommerce Platform Buyers
Ecommerce platform selection now includes an AI shopping readiness criterion alongside checkout UX, payment options, and plugin ecosystems. Decision-makers comparing the best ecommerce platform options should ask each vendor 3 questions: does the platform expose structured product data to LLM crawlers, does it require custom development to do so, and does it cover availability and pricing — the fields that change fastest and mislead AI assistants when stale. Adobe Commerce answers all 3 natively with Catalog Agent; buyers should press Shopify, BigCommerce, and Salesforce for their equivalents.
Our Take: AI traffic to retail sites is already up 125% year-on-year, so ecommerce platform choice is no longer just about checkout UX and plugin libraries — it is about which platform makes your catalog legible to AI. Adobe Commerce just got ahead.
For Context
Earlier coverage of AI agents entering ecommerce:
- Salesforce Agentforce Commerce: Your Store Now Sells in ChatGPT — the competing agent-led approach to AI shopping.
- 9 Best Ecommerce Platforms Compared — our evergreen comparison of the platforms now racing to add AI discovery layers.
