1
Measure
Test how leading AI shopping assistants find, describe, compare, and route shoppers to your products.
AI commerce optimization
Make your products legible to AI shopping assistants.
We optimize your product catalog so AI shopping assistants like ChatGPT and Google Gemini can find, understand, and recommend your products.
Built for ecommerce brands with complex catalogs, product variants, and data spread across storefronts, feeds, and marketplaces.
See what machines see. Fix what gets lost.
Recommendation tests show the symptom. Product data, schema, feeds, policies, and cross-system consistency reveal the cause.
2
Repair
Identify and fix missing attributes, contradictory variants, stale availability, weak schema, and feed inconsistencies.
3
Monitor
Re-test visibility, accuracy, and competitive displacement as product catalogs and shopping systems change.
The problem
Your storefront was written for people. Agents read the data underneath it.
✓
Product identityTitles, categories, variants, and identifiers must describe the same product across systems.
✓
Commercial factsPrice, availability, shipping, returns, and policy information must be current and machine-readable.
✓
Decision attributesThe specifications shoppers ask for must survive the handoff from page copy to feeds and structured data.
The outcome
A clear view of how AI shopping systems perceive your catalog.
We establish a baseline, identify preventable gaps, and measure what changes after they are fixed.
Nobody can control what an AI selects. We eliminate the preventable reasons it cannot select or transact with you.
If the test shows your catalog is already in good shape, we'll tell you that too.