The SEO moment for AI commerce

Will AI agents find your store or skip it?

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

The discovery thesisIf AI cannot understand your store,it cannot recommend it.
AI visibility signals checked9
Technical and trust checks20+
Actionable improvements5+
  • Find out if AI can discover your store. If agents cannot find your catalog, customers will never see it.
  • Check if your products are machine readable. AI recommends stores whose product data it can understand.
  • Get a concrete action plan. See exactly what to fix to become visible in AI driven discovery.
Brought to you by

An ecosystem for agentic commerce

Two complementary brands, one shared thesis: merchants need infrastructure and standards that make them visible and actionable for AI-driven commerce.

What the scanner analyzes

How visible your store is to AI

Can AI discover your store?Can AI understand your products?Can AI trust your store?Can AI transact with your store?
Your AI commerce report

What you receive after the scan

  • an AI visibility score
  • detailed diagnostics for each category
  • a prioritized action plan
  • quick wins to improve AI discovery
The discovery shift

The next ecommerce battleground is AI understanding, not only search ranking.

Customers are increasingly asking AI systems what to buy. Those systems shortlist the stores they can discover, interpret, and trust without friction.

That means visibility is moving away from surface-level marketing alone and toward structured commerce signals, reliable product data, and machine-readable storefronts.

If AI cannot read your store clearly, it will not recommend it confidently.
What changes now

AI systems reward machine-readable commerce

Discovery is moving to AI

Shopping journeys increasingly start with systems like ChatGPT, Perplexity, and Copilot instead of classic search alone.

Machine readability becomes visibility

Structured catalog data, trust signals, and live availability increasingly decide who gets shortlisted.

How AI evaluates a store

Visibility is built in three layers

01
Discoverable surface

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 understood.

03
Actionable commerce layer

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

What the scanner checks

The few signals that matter most

Store discovery

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

Product understanding

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

Trust and actionability

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

These are the signals that move a store from being merely indexable to being recommendable.
Platform follow-up

Explore Shopware as an agentic-first commerce platform

If AI visibility is becoming strategic for your business, the next question is which commerce platform helps you adapt fastest. Shopware is positioning around merchant control, composability, and the infrastructure layer required for AI-native commerce.

Merchant-first control

A platform story centered on openness, flexibility, and long-term merchant sovereignty.

AI-ready commerce direction

A clearer path for feeds, APIs, composability, and agentic commerce evolution.

Explore ShopwarePlatform story, product vision, and ecosystem overview.
Agentic-first commerce platform

Built for merchant control, composable growth, and commerce infrastructure that can evolve with AI.

Open ecosystemComposableMerchant-first
Merchant control
AI-native commerce