Find
Find products that match explicit price, feature and delivery constraints.
E-commerce
Make commerce journeys reliable for AI agents.
Available today: verify product facts, prices, stock and delivery with step-by-step evidence. Agents stop before cart; cart and checkout on a staging copy are coming later.
For retailers, marketplaces, DTC teams, commerce platforms and agencies.
Test the decisions that shape a commerce journey.
Tasks cover discovery, selection, conversion and recovery without making a production payment.
Compare
Compare variants and specifications without mixing facts between products.
Verify
Confirm current price, discount context, availability and delivery promise.
Select
Choose the intended size, color or configuration and preserve the selection.
Stop before cart
Reach the add-to-cart step with the intended item and price, then stop. Cart tests on an approved staging site are coming later.
Recover
Handle unavailable inventory, validation errors and replacement options.
Follow the facts from product page to safe stop gate.
The run stays linked to assertions at every consequential transition.
Product match
Visible facts and structured data identify the same item and variant.
Delivery choice
The selector remains named, stable and actionable after inventory loads.
Stop point
The intended item, variant and price are visible at the add-to-cart step, where the agent stops.
Typical findings connect technical behavior to commerce risk.
Conflicting price
Visible, structured and cart prices describe different states.
Ambiguous variant
Custom controls hide selection state from the accessibility tree.
Moving target
Inventory hydration shifts the delivery or cart control during action.
Lost selection
A variant choice resets after the page updates, so the agent reads the wrong price.
Measure reliable completion, not a lucky click.
A successful outcome can still carry friction that makes it fragile across agents.
Step screenshots
Follow discovery, selection and the final check step by step, with masked screenshots.
Completion time
See how long each page, search and filter step took.
Layout shifts
Measure layout shifts on each page the agent visits.
Result consistency
Repeat each key task up to three times per agent.
Production payment remains outside the public audit.
AI agents stop before cart, checkout and payment on your live site. Full checkout, refund or order tests on an approved staging site are coming later.
Technical signals are inventoried without becoming arbitrary requirements.
The audit checks visible and machine-readable commerce facts, interaction semantics and optional agent-native surfaces.
- Product and Offer structured data
- Canonical URLs, sitemaps and merchant signals
- Variant, quantity, cart and delivery semantics
- Accessibility tree and keyboard interaction
- Network errors and layout shifts during task runs
- Declared WebMCP forms when present: detected, not run
Your team gets a traceable remediation package.
- Results per key task for each agent that ran
- Step logs and masked step screenshots
- Product fact and structured-data conflicts
- Prioritized findings with acceptance criteria
- Baseline and retest comparison
E-commerce audit questions
Do public tests place real orders?
No. They stop before payment or another irreversible transaction.
Is missing WebMCP a failure?
No. It is reported as capability state. Browser and search readiness are reported independently.
Do you estimate revenue impact?
Only when a partner supplies suitable data. The baseline audit reports observed task and conversion friction.
Practical testing guide
Turn this commerce journey into a repeatable test.
Use the canonical task, fixture, stop-gate and evidence contracts for product discovery, variants, delivery and cart review.
Read the e-commerce testing guideRelated
- GuideTest the buying task, not one click.Test e-commerce websites with AI agents across product discovery, variants, inventory, delivery, cart recovery, stop gates and verified evidence.
- Store platformsShopify, WooCommerce, headless or custom: the test runs from the outside.
- How Aiscovery worksThe automatic site check, AI agents on key store tasks and the ranked fix list.
- Use caseBooking and travelComing later: AI agent task tests for search, availability, prices, policies and timezones. Today every website gets the automatic site check.
- Use caseSaaSComing later: AI agent task tests for SaaS product discovery, documentation and the path to signup. Today every website gets the automatic site check.
- Use caseMarketplacesComing later: AI agent task tests for seller discovery, offer comparison, trust signals, fees and availability. Today every website gets the automatic site check.
- Use caseDigital agenciesRun automatic site checks across client sites with ranked fixes and retests. AI agent task tests for client journeys are coming later.
Test a commerce journey before agents meet it at scale.
Apply with one product discovery, delivery or cart workflow for a private partner review.