AI Storefronts Are Making Brands Visible to Chatbots and Agentic Commerce

AI Storefronts Poised to Transform Brand Interaction for Product Teams

With AI chatbots and agents increasingly driving online shopping, traditional brand websites face a critical turning point. To stay visible and effective, brands must adapt their digital presence to serve AI-driven interactions smoothly. This is where New Generation (New Gen), a San Francisco startup, steps in with AI storefronts—dedicated subdomains optimized for AI chatbots and agents.

Why AI Storefronts Matter for Product Development

New Gen’s AI storefronts operate as separate microsites, such as ai.brand.com, designed specifically to handle AI-generated queries and transactions. Unlike traditional static websites, these storefronts dynamically respond to conversational AI, offering personalized product details, real-time offers, and seamless checkout processes.

Product teams face two main challenges that New Gen addresses:

• Manual product tagging: Current systems require human effort to tag products with relevant attributes. AI storefronts automate this, enabling real-time, accurate product discovery without manual overhead.
• Keyword-based search limitations: Unlike traditional search bars, AI chatbots use conversational queries. New Gen’s technology shifts brand search capabilities to support natural language, improving product relevance and customer experience.

How It Works

New Gen builds an AI subdomain that reindexes the entire product catalog, combining structured data like product specs with unstructured sources such as social media mentions. AI models then create dynamic product pages and personalized recommendations on the fly.

The system uses a mix of AI tools:

• Gemini 2.5 for image generation
• Anthropic’s Claude 4 for prose and copywriting
• OpenAI models for front-end code and quick in-line responses

Brands control the AI storefront experience through a merchant dashboard, adjusting tone, merchandising priorities, and product highlights according to business goals and market shifts.

Preparing for Agentic Commerce

As payment networks like Visa, Mastercard, and PayPal develop AI-enabled checkout systems, the infrastructure must be ready on the brand side. New Gen’s storefronts provide that missing piece, allowing AI agents on both ends of a transaction to interact smoothly and complete purchases autonomously.

While fully autonomous AI shopping agents remain in development, setting up compatible storefronts now ensures brands won’t be left behind when the technology matures. Pilots with major global brands across retail, fashion, travel, and dining sectors are already underway.

Key Takeaways for Product Developers

• Invest in AI-optimized digital experiences that support conversational search and real-time personalization.
• Automate product tagging to keep catalogs accurate and discoverable within AI-driven channels.
• Consider separate AI subdomains to preserve existing websites while preparing for AI commerce.
• Align product roadmaps with emerging payment and commerce infrastructures that support AI agents.

For product teams looking to deepen their AI knowledge and skills, exploring specialized courses can be valuable. Resources like Complete AI Training’s courses by job role offer practical guidance on integrating AI into product development workflows.

Adapting to AI-driven commerce is no longer optional. Brands that embrace AI storefronts will be better positioned to meet customer expectations and thrive in the agentic economy.