high risk
B2B AI-agent commerce diagnostic
Make your catalog purchasable by AI agents
AgentCommerceReady helps ecommerce teams verify what shopping assistants actually read: product feeds, schema, pricing, policies, checkout and attribution.
SEO-first MVP with no personal data collection in the browser.
Quick diagnostic
Readiness score
Check the controls already in place. The score gives a work priority, not a certification.
Recommended priorities
AI agents prefer explicit, stable and verifiable information. Missing items below often block selection, comparison or assisted purchase.
Checklist
Make your catalog purchasable by AI agents
01
Product feeds and structured data
Agents need to understand each offer without fragile interpretation.
02
Google AI Mode and universal commerce
The store must be readable in enriched search experiences.
03
Agent-compatible checkout
The purchase path should stay predictable and explicit.
04
Pricing, returns and trust
Policies must be readable by machines and humans.
05
Attribution and measurement
Agent-influenced sales should remain measurable.
Why this diagnostic exists
Shopping assistants compare offers from public data. A good-looking product page with poor schema, policies or stock signals can be ignored, mis-summarized or considered too risky for assisted purchasing.
Prioritization method
The checklist ranks controls across five surfaces: discovery, offer understanding, checkout execution, commercial trust and measurement. Start with controls that fix divergence between feeds, HTML pages and structured data.
Monetization ready to activate
AdSense placements and affiliate link areas are prepared but inactive until official identifiers are provided. No fake publisher ID is embedded.
Privacy
This MVP calculates the score locally in the browser. Umami and AdSense configuration is injected by deployment environment variables, with no hardcoded secret.