Agentic Training
Define how AI agents understand your products.
Google AI Mode, ChatGPT, Gemini, Copilot, Perplexity, and every agent that follows.
- One source of truth - the same logic that powers your on-site guided selling trains every AI agent
- Works today - structured data on your PDPs that any agent can read, no protocol dependency
- Platform-ready - built to feed Google Merchant Center, Shopify metafields, and emerging agent standards as they ship
Your guided selling already has the answers. Now agents can learn them too.
A Cartful quiz encodes how your team thinks about your products: who they're for, what problems they solve, how they compare. Today that logic powers on-site experiences. Agentic training makes the same intelligence available to AI shopping agents off your site.
| Agentic training | Guided selling | |
|---|---|---|
| Audience | AI agents shopping on behalf of customers | Shoppers on your site |
| Where it works | Google AI Mode, ChatGPT, Copilot, Gemini, and others | Product finders, micro quizzes, PDPs |
| Input | Agent scrapes or queries structured data | Customer answers questions |
| Output | Accurate, brand-aligned product representation | Personalized product recommendations |
| Data source | Same Cartful Studio logic | Same Cartful Studio logic |
No magic. Just better data in the right places.
AI agents recommend products based on whatever data they can find. Your PIM has specs. Your CMS has marketing copy. Cartful has the recommendation logic: who each product is for, why, and how it compares. That's what agents need to make confident recommendations.
Agentic training puts that knowledge in every place agents look:
- On your PDPs as structured content, FAQ markup, and machine-readable data any agent can pick up
- In your product feeds as enriched attributes that power Google AI Mode and Gemini
- In your commerce platform as metadata that agents query in real time
Where the training shows up.
Your product pages
Structured content and machine-readable markup embedded directly in your PDPs. Every AI agent that visits your site picks this up immediately. This is the broadest, most platform-agnostic surface and the fastest to deploy.
Google Merchant Center
Enriched feed attributes that power how your products appear in Google AI Mode, Gemini, and Business Agent. As Google rolls out new conversational commerce attributes, your Cartful data will be ready to populate them.
Your commerce platform
Shopify metafields, SFCC product attributes, and other platform-native data that agents query in real time through APIs like UCP's Catalog capability. Keeps your platform data as rich as your Merchant Center feed.
What's coming
Platforms are building direct pathways for brands to train AI agents with their own data. Google has announced it for Business Agent. Others will follow. When they ship, your Cartful data will be ready.
Frequently asked questions
What is agentic training?
Agentic training is the process of making your product knowledge available to AI shopping agents in structured formats. It ensures that when agents from Google, OpenAI, Microsoft, and others recommend products, they accurately represent who your products are for and why.
How is agentic training different from a product feed?
A product feed tells agents what a product is: title, price, availability, specs. Agentic training tells agents who the product is for and why it's the right choice. It adds the recommendation logic, decision criteria, and product comparisons that agents need to confidently match products to customer needs.
Which AI agents does agentic training reach?
Agentic training reaches every major AI shopping surface, including Google AI Mode, Gemini, Google Business Agent, ChatGPT, Microsoft Copilot, and Perplexity. The structured data on your product pages is readable by any agent that crawls the web. Feed enrichment targets Google's surfaces specifically, and platform metadata reaches agents that query Shopify or Salesforce Commerce Cloud APIs directly.
Do I need to build my agentic training data from scratch?
No. If you're already using Cartful for guided selling, your quiz logic contains the product intelligence that agentic training requires: which products map to which customer needs, what the decision criteria are, and how products compare. Agentic training takes that existing logic and makes it available in formats agents can read.
Does agentic training replace my product finder quizzes?
No. Guided selling and agentic training are two outputs of the same product knowledge. Guided selling powers on-site experiences for shoppers who visit your site. Agentic training powers off-site AI agents that are shopping on behalf of customers. Both are built from the same logic in Cartful Studio.
What formats does agentic training use?
Agentic training outputs structured HTML content and FAQ markup on your product pages, JSON-LD structured data for machine parsing, enriched Google Merchant Center feed attributes, and platform-native metadata like Shopify metafields and SFCC product attributes.
How does agentic training relate to Google's Universal Commerce Protocol (UCP)?
UCP is an open standard that lets AI agents discover, recommend, and purchase products on Google's AI surfaces. Agentic training enriches the data that flows through UCP, specifically the Merchant Center feeds, Catalog API responses, and Business Agent training data that determine how your products are represented. As UCP's capabilities expand, your Cartful data will be ready to support them.
Get ahead of agentic commerce
See how your existing Cartful quiz logic can start training AI agents today.