AGENTIC COMMERCE OPTIMIZATION
AI shopping agents like ChatGPT, Perplexity, Gemini, and Copilot evaluate product data directly to decide which products qualify to appear, get compared, and get recommended. Those decisions happen before a shopper lands on your site.
Product data built for people skimming a page often fails this test:
Titles are missing material, size, fit, or key specs
Attributes are incomplete or inconsistent across channels
Variant relationships are ambiguous
Content isn’t structured for machines to parse
A product that fails these checks doesn’t rank lower. It disappears from the conversation.
ACO CAPABILITIES
Measure AI readiness at the SKU level
Score every product on four dimensions: content quality, crawlability, semantic quality, and contextual signals. Find which products agents can’t read and why.
Generate AI-native content
Create titles, descriptions, and Q&A content written for how large language models parse products, so a listing like “Boot, Black” becomes a complete, comparable record.
Fill missing attributes such as material, dimensions, and origin, and link size and color variants to a single parent product.
Keep humans in control
Every AI-generated change goes through one human-in-the-loop review queue. Nothing publishes without approval, and the review happens where your product data already lives.
Distribute to AI shopping engines
Publish AI-ready product data to OpenAI’s Agentic Commerce Protocol and Google’s Universal Commerce Protocol.
Build on it with APIs
Access catalog intelligence programmatically through our API, MCP server, and CLI.
A standalone ACO tool has to sync with your PIM, which creates lag and reconciliation risk. When your optimized data and your system of record are different systems, the version an AI agent sees can differ from the version you approved.
With Fegmo, there is one source of truth, one enrichment queue, and no sync step. Updates to your product data reach AI shopping engines from the same place you manage them.
Retailers
Retailers that want their assortment recommended when shoppers ask AI agents for options.
Brands and manufacturers
Brands and manufacturers that need their products represented accurately across retailers and AI engines.
Product data teams
Ecommerce and product data teams responsible for catalog quality, enrichment, and syndication.
What is Agentic Commerce Optimization?
How is ACO different from SEO?
Do I need a separate tool for ACO?
Which AI shopping engines does Fegmo support?
Does AI change my product data without approval?
How do I know if my catalog is AI-ready?