What is agentic commerce readiness?

It is the operational and informational state required for an autonomous shopping agent to discover, evaluate, recommend, and transact with a brand on a customer's behalf.

Does this only apply to ecommerce?

Primarily. The laboratory is focused on transactional surfaces. Service businesses benefit indirectly via related work in the Knowledge Graph and Conversational Search laboratories.

Which platforms do you research most?

Shopify and WooCommerce are the primary storefront platforms, with research extending to merchant feeds, AI assistant shopping surfaces, and emerging agentic commerce protocols.

Laboratory · 01

Agentic Commerce Laboratory.

The Agentic Commerce Laboratory is our applied research practice for agentic commerce readiness: the product data, merchant signals, schema, feed structure, and trust architecture an autonomous shopping agent needs to discover, evaluate, and transact with a brand. It runs controlled experiments on Shopify, WooCommerce, and marketplace storefronts to identify which signals reliably move products into AI-generated shopping answers.

Focus areas

What this laboratory investigates

Product entity modeling for AI shopping systems.

Merchant data quality, policies, and trust signals.

Product feed structure for emerging agentic protocols.

Structured review and rating architecture.

Category and collection page semantic design.

Transaction-readiness signals for autonomous agents.

Methodology

How the laboratory operates

Hypothesis

Define a specific question about how AI shopping systems perceive a product, category, or merchant signal.

Instrumentation

Build test catalogs, schema configurations, and feed variants on representative storefronts.

Observation

Probe AI assistants and shopping surfaces with structured prompt sets and capture behavior over time.

Active experiments

What we are currently testing

Product attribute completeness vs AI selection probability

Measuring how attribute coverage and structured specs influence whether AI agents shortlist a product.

Schema depth in collection pages

Testing the impact of nested Product, Offer, and AggregateRating schema on retrieval into AI shopping answers.

Merchant policy clarity

Examining how shipping, returns, and warranty clarity influence agent confidence in recommending a merchant.

Review structure and agent trust

Studying how structured, verified review data changes recommendation behavior across AI assistants.

Applied to

Shopify BrandsWooCommerce BrandsMarketplacesDTC Retail

FAQ

Frequently asked questions

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