the reality
you can’t fix what you can’t measure
invisible gaps
you don’t know which products ai can’t understand until they stop showing up in recommendations.
human-built data
catalogs written for shoppers and google are opaque to ai models trying to parse and compare them.
no benchmark
no shared metric for “ai-ready”, so teams optimize blind and can’t prioritize.
inside the score
a 0 to 100 score that tells you exactly what to fix
5 dimensions
scored across five dimensions
data completeness, semantic quality, commercial accuracy, media richness, and standards compliance, weighted into one composite.
- per-SKU and catalog-level scores
- prioritized, actionable recommendations
- multi-model: chatgpt, gemini, claude
ai commerce score
ai-ready+14 this month
aurora silk midi dressai-ready92
merino wool overcoatgood78
canvas low-top sneakerneeds work54track over time
watch the score climb as you fix
every optimization moves the needle. track improvements per product and across the catalog.
- before/after impact per change
- gap analysis to focus effort
- export and share with your team
catalog optimizer
canvas low-top sneaker
title
material
occasion
capabilities
everything you need to succeed
multi-model scoring
evaluate products across chatgpt, gemini, claude, and more ai models
5-dimension analysis
completeness, clarity, context, structure, and ai-readiness metrics
actionable recommendations
specific, prioritized steps to improve each product's ai visibility
score tracking
monitor improvements over time and track optimization impact
getting started
from catalog to ai in three simple steps
connect catalog
sync your product catalog via API, CSV upload, or platform integration
ai analyzes products
our multi-model ai evaluates your products across 5 critical dimensions
get score + recommendations
receive actionable insights to improve your ai visibility and discoverability
ready to make your catalog shoppable by ai?
start with a free ai commerce score and see exactly how ai assistants see your products.