The SEO moment for AI commerce

AI is becoming the new storefront. Can it understand yours?

AI systems like ChatGPT, Perplexity, and Copilot are becoming the new discovery layer of commerce. This scanner shows whether your store is readable, discoverable, and trustworthy for AI.

Your catalog
What AI sees

If AI cannot read your store, it will never recommend it.

AI readability signals9
Diagnostics20+
Concrete fixes5+
  • Check if AI can find your store. If agents cannot discover your catalog, customers will never see it.
  • Check if AI can read your product catalog. AI recommends stores whose product data it can parse and compare.
  • Get a clear action plan to become AI readable. See exactly what to fix to become visible in AI-driven commerce.
Run AI readability scan
Report preview

What your AI readability report looks like

72/100
AI readability score
AI discovery85%
Catalog readability62%
Transaction readiness45%
  • AI readability score with benchmark comparison
  • Detailed diagnostics across all three layers
  • A prioritized action plan with quick wins
Typical issues we detect

Common AI readability gaps

Missing product schema markup
Incomplete or missing product feeds
No crawlable product URLs
Missing trust signals and policies
BrandProductRecommendAccuracyTrustPurchase785265407035
LLM Visibility Test

Does AI know your store?

We query OpenAI’s GPT-5.4 live with real questions about your store — measuring how visible your brand and products are in AI-powered commerce.

Live queries to GPT-5.4 about your store
6 visibility dimensions scored 0–100
Full AI responses — see exactly what GPT says about you

AI is becoming the new storefront.

The discovery shift

The next ecommerce battleground is AI readability, not search ranking.

More and more buying journeys now start with AI. Those systems shortlist the stores they can discover, read, and trust without friction.

Visibility is shifting from marketing to machine readability. Structured commerce signals, reliable product data, and readable storefronts decide who gets recommended.

Search ranking
Declining
AI readability
Rising
What changes now

AI systems reward machine-readable commerce

Discovery is moving to AI

More and more buying journeys now start with AI, from product research to purchasing decisions.

Machine readability becomes visibility

Visibility is shifting from marketing to machine readability. Structured data, trust signals, and availability decide who gets shortlisted.

How AI evaluates a store

Visibility is built in three layers

03Commerce
02Catalog
01Discovery
01
AI discovery layer

Agents need crawlable entry points, accessible policy files, and public product URLs.

02
Machine-readable catalog

Structure, identifiers, feeds, and inventory signals decide whether products can be parsed and compared.

03
Actionable commerce layer

APIs, trust, and checkout clarity determine whether a recommendation can turn into a transaction.

What the scanner checks

The few signals that matter most

AI discovery

Can agents reach public product URLs, sitemaps, and crawl controls without friction?

Catalog readability

Do structure, identifiers, and feeds make your catalog easy to parse and compare?

Transaction readiness

Are policies, reviews, APIs, and checkout signals strong enough to recommend and transact?

These are the signals that move a store from being merely indexable to being recommendable.
Behind this project

An open ecosystem for agentic commerce

This scanner is a collaboration between the Agentic Commerce Alliance and Shopware — combining open standards with real commerce infrastructure to make AI readability accessible for every merchant.

Agentic Commerce Alliance

An open alliance pooling research, protocols, and standards to make AI-native commerce accessible and ethical.

Shopware

Composable commerce infrastructure built around merchant control, flexibility, and an AI-ready architecture.