Why this matters
AI search can flatten policy nuance into a promise
Small businesses often keep cancellation policies in several places: scheduling pages, checkout notes, invoices, confirmation texts, FAQs, and staff macros. If those sources disagree, AI answer engines may surface the most generous version, omit conditions, or imply that every customer receives the same refund, fee waiver, or reschedule window.
This source card helps owners make booking-policy language quotable without inventing legal, refund, fee, or availability promises.
Copy/paste artifact
Appointment cancellation policy source worksheet
AI-SEARCH-APPOINTMENT-CANCELLATION-POLICY-READY
Business / website:
[company name]
Reviewer / owner:
[name]
Review date:
[date]
Canonical booking / policy page:
[URL]
1. Policy inventory
Policy phrase or claim:
[cancel anytime / 24-hour cancellation / no-show fee / deposit refundable / reschedule online / late arrival / emergency exception / weather exception / other]
Where buyers may see it:
[booking page / checkout / confirmation email / SMS reminder / FAQ / invoice / proposal / ad / chatbot / support macro / marketplace listing]
Exact buyer-facing wording:
[paste the wording]
2. Source of truth
What is actually promised:
[refund / credit / reschedule / fee / deposit retained / manual review / no promise]
Cancellation or reschedule window:
[number of hours/days, business-hours rule, emergency/weather exception, or manual review]
Covered customers/services/locations:
[all / first-time customers / existing customers / specific service / specific location / paid plan / not sure]
Who can approve exceptions:
[owner / manager / dispatcher / bookkeeper / no one / needs review]
Proof source:
[policy page / service agreement / checkout terms / invoice note / staff SOP / owner approval]
3. Conflict check
Do booking, checkout, FAQ, invoice, confirmation, SMS, chatbot, and staff macros match?
[yes/no/needs review]
Does the policy distinguish request intake from approved cancellation or refund?
[yes/no/needs review]
Does it separate fee waivers from owner-approved exceptions?
[yes/no/needs review]
4. Safe public wording
Approved short answer:
[one cautious sentence AI tools can quote]
Approved exception wording:
[one cautious sentence for emergencies, weather, late arrivals, deposits, refunds, no-shows, or manager-reviewed exceptions]
Do not say:
[unsupported refunds, waived fees, guaranteed reschedules, guaranteed availability, legal conclusions, chargeback promises, deposit refunds, or exception approvals without source proof]
5. AI-search audit prompt
Paste this into your AI/search QA tool:
"Review this booking, checkout, FAQ, invoice, confirmation, SMS reminder, chatbot, and support-macro copy. List every appointment cancellation, reschedule, no-show, deposit, refund, fee, late-arrival, emergency, and exception-policy claim. Flag any claim that lacks a source URL, covered window, exception owner, customer/service scope, or approved public wording. Do not invent refunds, fee waivers, deposit terms, legal obligations, guaranteed appointment openings, emergency exceptions, or chargeback outcomes."
STOP PUBLISHING if:
- The policy is not backed by an owner-approved source.
- Booking pages, confirmations, reminders, invoices, and chat/support macros disagree.
- A fee, deposit, refund, or exception can be promised without human review.
- AI/chatbot/support replies could turn a reschedule request into a guaranteed refund or waived fee.
- The owner has not approved the exact public wording.
Customer-safe wording examples
- General cancellation: “Cancellation and reschedule requests are reviewed under the policy shown on our booking page or agreement.”
- Deposit caution: “Deposits, fees, credits, or refunds depend on the approved policy and may require manager review.”
- AI-search guardrail: “Do not summarize a reschedule request as a guaranteed refund, waived no-show fee, or available appointment unless the approved source explicitly says so.”
Related Horizon Flow resource
This free checklist supports SEO After AI by turning booking-policy claims into reviewable source cards before AI search tools, chatbots, or support macros quote them.