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Adobe Launches AI Agents and Commerce Optimizer: Automated E-Commerce Experience Optimization Goes Mainstream

Akihiro Suzuki

Akihiro Suzuki

Twitter
2026/01/15

Key Takeaways

  1. Adobe launches general availability of AI agents for AEM and Commerce Optimizer
  2. AI traffic conversions up 31% compared to traditional sources, changing the competitive landscape for e-commerce businesses
  3. Generative AI content and automated A/B testing enable reduced operational costs and increased sales

Adobe Accelerates AI Strategy, Refreshing Both Commerce and Content

Adobe Bets Big On AI For Commerce & Content

Adobe Bets Big On AI For Commerce & Content

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Adobe strengthens AI capabilities across its entire digital experience stack, announcing general availability of AI agents and Commerce Optimizer rollout

In January 2026, Adobe announced a major AI functionality upgrade across its entire digital experience stack. The main announcements include general availability of AI agents within Adobe Experience Manager (AEM), expanded capabilities for Adobe Commerce Optimizer, and enhanced headless storefront solutions.

The company announced general availability of AI agents in September 2025, and this update accelerates their implementation. For e-commerce businesses, this potentially brings significant changes on both content operations and storefront optimization fronts.

There's clear data behind Adobe's timing in strengthening commerce × AI capabilities. According to the company's research, during the 2025 holiday season, traffic from generative AI sources to US retail sites recorded a "693% increase" year-over-year. Furthermore, conversion rates from AI-driven traffic were "31% higher" compared to traditional traffic sources.

These numbers indicate that consumers are rapidly adopting AI to discover, compare, and purchase products. For e-commerce businesses, capturing AI-driven traffic and providing optimal experiences is becoming a source of competitive advantage.

Details on AEM AI Agents

The AI agents now generally available are built on the Adobe Experience Platform Agent Orchestrator. When you give instructions in natural language, the agent interprets the intent and automatically plans and executes multi-step actions.

Key Agents and Features

Site Optimization Agent automates website performance management. It monitors traffic in real-time and detects broken links and underperforming pages. It also automatically generates content variations aligned with brand guidelines and presents landing page options.

Audience Agent accelerates the creation and optimization of audience segments needed for personalization initiatives. Data Insights Agent derives insights from organization-wide data and supports visualization and prediction.

Actual implementation results have been reported. The Hershey Company saw organic search visibility "improve 15%," PGA TOUR improved UX and page performance issue resolution speed by "3x," and Wilson Company achieved "24% higher" conversion rates through A/B test optimization.

Integration of Generative AI Content and A/B Testing

AEM Sites' "Generate Variations" feature generates content variations based on prompts. It uses Microsoft Azure OpenAI GPT-4 for text generation and Adobe Firefly for image generation, enabling efficient creation of brand-aligned content.

The important point is that generated variations can be directly A/B tested. Without needing external testing tools or specialized teams, the cycle from content creation to effectiveness verification is significantly shortened.

Adobe Commerce Optimizer and Headless Storefronts

Adobe Commerce Optimizer is a headless solution that adds modern storefront functionality on top of existing commerce infrastructure. It integrates with existing ERP, CRM, OMS, PIM, and other systems to deliver unified storefront experiences.

Technical Features

Commerce Optimizer employs "Edge Delivery" for fast page rendering. In the HanesBrands case study, page load speed improved "4x" and Lighthouse scores reached "100."

Large catalog support is also a feature, supporting "over 250 million SKUs" and "30,000 price points" per SKU. It integrates catalog data from multiple sources to provide consistent product experiences.

Its API-driven design means businesses already using headless architectures can integrate with existing systems. Commerce accelerator features called Drop-ins are also available, lowering the barrier to adoption.

Impact on E-Commerce Businesses and Practical Applications

Short-term Action Points

First to consider is site diagnostics using Site Optimization Agent. Automatic detection of broken links and low-performance pages efficiently identifies technical SEO issues. Combined with the Generate Variations feature, you can seamlessly execute from improvement proposal generation to A/B testing.

Medium to Long-term Strategy

Given the surge in AI traffic, optimizing content structure that AI agents and LLMs can "easily read" becomes important. Commerce Optimizer's headless architecture is designed to easily accommodate product discovery and purchase flows via AI assistants.

Implementation Considerations

Using AEM AI agents requires an Adobe Experience Platform (AEP) contract as a prerequisite. It's realistic to consider phased implementation after confirming compatibility with your existing Adobe product stack. Commerce Optimizer uses a custom pricing model, requiring estimates based on GMV and average order value.

Summary

Adobe's announcement demonstrates that we've entered a phase of full-scale AI utilization in both content management and commerce infrastructure. Against the backdrop of surging AI traffic, e-commerce businesses face increasing necessity to provide "AI-optimized experiences."

Going forward, the evolution of inter-AI agent collaboration features is worth watching. Adobe is promoting coordination between multiple agents through the "Agent2Agent" protocol, with potential for further automation of overall marketing initiatives. Consider taking this opportunity to assess whether your digital experience infrastructure is ready for the AI era.

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