Adobe introduced Catalogue Agent inside Adobe Commerce, a new capability that hands AI systems and chatbots structured product data for shopping searches, as traffic from AI sources to US retail sites grew 125% from April through June 2026 compared with the same months in 2025.
Key Takeaways
- Adobe introduced Catalogue Agent inside Adobe Commerce to make product catalog data readable by AI systems and large language models.
- Traffic from AI sources to US retail sites grew 125% year over year from April through June 2026.
- AI-driven traffic to US retail sites rose 693% year over year during the November-December 2025 holiday shopping period.
- Catalogue Agent works behind the existing storefront, so merchants don’t need to redesign their websites or product pages.
- Built directly into Adobe Commerce on Cloud, this feature empowers current subscribers to deploy it without switching to an alternative solution.
The launch signals that Adobe now treats conversational AI platforms as a distinct sales channel worth engineering for, not just a novelty search tool. Retailers running Adobe Commerce can expose product names, pricing, availability and compatibility details to large language models without touching their storefront, which suggests the company sees AI-driven shopping traffic as durable enough to justify building infrastructure around it rather than waiting to see if the trend fades.
What Catalogue Agent Actually Does
Catalogue Agent pulls information already sitting inside a merchant’s Commerce Catalogue, things like product attributes, specifications, variants, categories and product relationships, and repackages it into a machine-readable layer built for AI crawlers and LLM-powered discovery systems. That layer sits behind the existing storefront, so shoppers browsing a website see no visible change while AI systems reading the same catalog get a far more structured dataset to work from.
The tool also enriches product names, descriptions and use-case phrases at the source, inside the Commerce catalog itself, which means the same upgraded text can then flow out to storefronts, advertising pipelines, marketplaces and AI-powered discovery experiences at once. That single-source approach matters because it avoids the common ecommerce problem of maintaining separate, inconsistent product descriptions across different sales channels.
Why Retailers Are Under Pressure to Act Now
The urgency behind this launch traces directly to a traffic shift Adobe has been tracking through its own data. During the November-December 2025 holiday shopping period, AI-driven traffic to US retail sites increased 693% year over year a jump that outpaces the growth of nearly any other referral channel retailers have dealt with in recent memory.
That holiday spike wasn’t a one-off. The 125% year-over-year growth recorded from April through June 2026 shows the pattern holding well outside the peak shopping season, which tells retailers this isn’t a seasonal blip tied to gift-buying but a shift in how people research and choose products year-round.
For merchants, that gap between the holiday spike and the spring-summer figure suggests AI shopping assistants are becoming a steadier, more baseline source of traffic rather than a temporary surge tied to any single buying season.
Who Gets Affected and How
Existing Adobe Commerce customers are the direct beneficiaries here, since Catalogue Agent is described as a native capability available in Adobe Commerce on Cloud, meaning merchants don’t need to adopt a separate platform or duplicate their product data into a new system. That lowers the technical lift for retailers who already run their catalogs through Adobe’s infrastructure.
Shoppers benefit in a less direct but still concrete way. When someone asks a conversational AI platform such as ChatGPT, Microsoft Copilot, Claude or Gemini to find lightweight trail running shoes suitable for marathon training, compare two laptops for video editing, or identify accessories compatible with a specific camera, Catalogue Agent gives the underlying retailer’s data a better shot at surfacing accurately in that response instead of getting missed or misrepresented.
Technical teams inside retail organizations also see a shift in workload. Instead of building custom integrations to feed AI systems, Catalogue Agent draws on Commerce services already in place, including inventory, pricing and product relationship data, which reduces the engineering overhead of keeping AI-facing information current.
How This Fits the Bigger Ecommerce Picture
Ecommerce product discovery has leaned on search engines, marketplaces and on-site search for more than two decades. Catalogue Agent doesn’t replace those channels; it adds a parallel one built specifically for AI systems that interpret shopper intent rather than matching exact keywords.
That distinction matters because traditional search engine optimization still depends heavily on keyword targeting, while an AI assistant fielding a question like finding shoes for marathon training has to parse intent, compatibility and use case all at once. Adobe positions Catalogue Agent as part of its broader agentic AI work for commerce, treating structured catalog data as infrastructure that feeds multiple AI-driven surfaces rather than a single standalone feature.
What Remains Unsettled
Adobe has said its AI commerce roadmap will keep expanding catalog intelligence, enrichment, governance and discovery capabilities as LLM-powered shopping develops further, but the specifics of what comes next haven’t been detailed. Whether AI-referred traffic converts into actual purchases at rates comparable to search or marketplace traffic also isn’t addressed in what Adobe has disclosed so far.
Retailers weighing whether to prioritize this kind of catalog enrichment now face a judgment call: AI-driven traffic growth is documented and steep, but the return on structuring data specifically for chatbots and AI assistants is still an open question that only more time and more transaction data will answer. Adobe’s bet, visible in this launch, is that the traffic curve won’t reverse.
FAQs
What Is Adobe Catalogue Agent?
It’s a capability inside Adobe Commerce that converts existing product catalog information, including names, pricing, availability and compatibility, into a structured, machine-readable format that AI crawlers and large language models can read and use for shopping recommendations.
Do Retailers Need to Change Their Website to Use It?
Catalogue Agent operates beneath the current user interface, preserving how shoppers view products, see images and complete purchases while introducing a separate AI-readable information structure.
Which AI Platforms Does This Affect?
The capability is aimed at conversational AI platforms consumers already use for shopping research, including ChatGPT, Microsoft Copilot, Claude and Gemini, which increasingly answer product comparison and recommendation questions before a shopper visits a retail site.
How Much Has AI-driven Shopping Traffic Actually Grown?
Traffic from AI sources to US retail sites grew 125% year over year from April through June 2026, following a 693% year-over-year increase during the November-December 2025 holiday shopping period.
Is Catalogue Agent a Separate Product Merchants Have to Buy and Integrate?
No. It’s described as a native capability within Adobe Commerce on Cloud, meaning existing Adobe Commerce customers can use it without adopting a third-party platform or duplicating their product data elsewhere.
Does This Replace Search Engine Optimization for Retailers?
No. Adobe positions AI-powered product discovery as an additional layer alongside existing practices like SEO, product feed management and marketplace visibility, not a replacement for them.
What Kinds of Product Information Does Catalogue Agent Expose to AI Systems?
It can surface product names, attributes, specifications, compatibility details, availability, pricing, categories, variants and product relationships pulled directly from the Commerce catalog.
