Search
Search by destination or service, dates and party size.
Booking and travel
Test booking journeys with AI agents.
Coming later: verify dates, availability, total price and policies. Agents stop before a booking starts.
For hotels, travel platforms, appointments, events and rentals.
Test the constraints that make a booking valid.
Scenarios combine dates, party size, inventory, fees, policy and locale instead of testing controls in isolation.
Interpret inventory
Distinguish sold out, unavailable and temporarily failed states.
Compare totals
Compare final price, fees, cancellation rules and timezone.
Select
Choose a valid room, rate, seat or appointment slot.
Stop before booking
Keep the selection up to the point where booking would start, then stop.
Recover
Handle an expired slot, session or inventory change without silent substitution.
Keep dates, inventory and policy attached to one choice.
The assertion chain prevents a plausible result from hiding a changed rate or slot.
Valid search
Destination, date format, timezone and party size are interpreted correctly.
Comparable option
Availability, total price and cancellation terms remain attached to the selected option.
Stop point
The chosen option is unchanged where booking would start, and the run stops there.
Booking failures often appear only after several correct steps.
Hidden fee
The result changes when fees appear late in the journey.
Timezone ambiguity
A slot looks valid but resolves to the wrong local time.
Inaccessible calendar
Custom date controls have no usable keyboard or accessibility-tree path.
Lost selection
Session expiry or a modal destroys dates, party size or chosen inventory.
A fast result must also be current and recoverable.
Timing is evaluated beside inventory accuracy, retries and final-state preservation.
Step screenshots
Follow search, comparison and the final check step by step, with masked screenshots.
Completion time
See how long search, results and each page step took.
Layout shifts
Measure layout shifts on calendars, rate cards and result pages.
State preservation
Assert that dates, guests, option and policy survive each transition.
Public runs stop before a real booking or payment.
AI agents stop before booking, payment or any form that sends data. Modification and cancellation tests with approved staging fixtures are coming later.
The audit covers dynamic inventory as well as page structure.
Signals are recorded for diagnosis even when they do not change the verdict.
- Event, Hotel, LodgingBusiness and Offer structured data
- Date, time, timezone and locale semantics
- Calendar and modal accessibility
- Inventory APIs, caching and session persistence
- Network behavior and layout shifts during task runs
- Declared WebMCP forms when present: detected, not run
The result explains where booking intent was lost.
- Journey and inventory assertions
- Step screenshots with step timings
- Price, fee, policy and timezone discrepancies
- Recovery findings with reproduction steps
- Prioritized engineering backlog and retest baseline
Booking audit questions
Do public tests create real bookings?
No. The run stops before the final booking or payment action.
Can cancellation be tested?
Coming later, with an approved staging site and test bookings.
How are changing prices handled?
The run records timestamps, inputs and observed states so expected inventory movement is distinct from inconsistency.
Practical testing guide
Model booking state before running an agent.
Use the booking task, timezone, inventory, policy, expiry and stop-gate contracts to build a repeatable scenario.
Read the booking testing guideRelated
- GuideTest the booking state, not the promise.Test booking websites with AI agents across dates, timezones, availability, total price, policies, expiry recovery and safe confirmation gates.
- MethodologyHow a task is defined, run, checked and attributed.
- Use caseE-commerceAvailable today: AI agent task tests for product discovery, price, stock, delivery and returns, plus the automatic site check. Cart and checkout journeys are coming later.
- 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.
Protect the path from search to booking review.
Apply with one high-value search, comparison or appointment workflow for a private review.