Make AI hotel actions accurate, attributable, and authorized.
A fixed-scope public-evidence audit for hospitality businesses preparing conversational discovery, live rates, direct booking, and authenticated guest-service actions.
One-time review of one hospitality brand or property group. Delivery target: 7 days after scope acceptance.
Discovery evidence
Property facts, amenities, policies, rates, and availability have authoritative sources.
AI-facing content distinguishes verified facts from generated explanation.
Recommendation and sponsorship economics remain separately observable.
Booking and guest-action evidence
The official booking operator and merchant identity remain visible through handoff.
Rates, taxes, mandatory fees, currency, and direct-only benefits are not obscured.
Booking, cancellation, guest-service requests, and reversals are bound to the correct guest and stay.
Charge-bearing or irreversible actions require explicit confirmation and return a completion receipt.
Deliverable
Exact public evidence inventory and unknowns.
Failed-control versus missing-evidence classification.
Prioritized fixes and retest criteria.
One bounded public-surface retest.
Why now. OpenAI published an October 7 hospitality case study reporting approximately 1.5× early booking conversion versus organic search for one ChatGPT plugin. On October 8, Rio Hotel & Casino announced a transactional ChatGPT experience spanning room booking and guest-service requests such as housekeeping items and department contact. These are issuer-provided claims, not transferable performance or safety guarantees. The audit tests whether discovery, booking, and guest-action evidence is independently ready before a hotel invests in a comparable channel.