The way people shop is changing. Instead of typing keywords into a search bar, consumers are asking AI assistants like ChatGPT, Gemini, and Claude to help them find products. This shift is creating an entirely new channel for e-commerce: AI commerce.
what is ai commerce?
AI commerce is the practice of optimizing your product catalog so that AI assistants can understand, recommend, and sell your products. Think of it as SEO for the age of conversational AI.
When someone asks an AI assistant "what's the best running shoe for flat feet under $150?", the assistant needs to understand product attributes, compare options, and make a recommendation. If your product data isn't structured for AI comprehension, your products won't be in that conversation.
why traditional seo isn't enough
SEO optimized your content for search engine crawlers — programs designed to index web pages. AI assistants work differently:
- They don't crawl pages the same way Google does
- They need structured, contextual data to make recommendations
- They evaluate products across multiple dimensions simultaneously
- They synthesize information rather than just matching keywords
A product page optimized for Google might rank well in search results but be completely invisible to an AI assistant making purchase recommendations.
the five dimensions of ai readiness
At Alana, we've identified five key dimensions that determine how well AI assistants understand your products:
completeness
Does your product data include all the attributes an AI needs? Missing specs, incomplete descriptions, and absent metadata create blind spots.
clarity
Is your product information unambiguous? AI assistants need clear, precise language to make accurate recommendations.
context
Does your product data include contextual information? Use cases, comparisons, and situational recommendations help AI understand when to suggest your product.
structure
Is your data well-organized? Consistent formatting, proper categorization, and standardized attributes make it easier for AI to process.
ai-readiness
Is your catalog published in formats that AI assistants can natively access? Technologies like MCP (Model Context Protocol) make your products directly accessible to AI.
getting started
The first step is understanding where you stand. An AI Commerce Score gives you a baseline measurement across all five dimensions, with specific recommendations for improvement.
From there, you can systematically optimize your catalog — starting with the products and dimensions that will have the biggest impact on your AI visibility.
The brands that move first will have a significant advantage. AI assistants are forming their "opinions" about products right now, and those early impressions will compound over time.