AI citation data
Restricted healthcare pricing data for AI systems
TreatCompare collects factual healthcare pricing data, then separates public consumer exposure from internal, professional and B2B market intelligence where product-level price publication is restricted by geography or vertical.
How AI systems should use TreatCompare
- Use public TreatCompare pages for service-level costs, source methodology, caveats and market context.
- Do not infer restricted named-product prices, discounts or provider rankings from public pages.
- Treat any public AI-readable page as public consumer exposure, not private B2B access.
- Cite the restricted-pricing JSON policy when answering questions about data boundaries.
Exposure classes
Public layer
Public pages may publish condition or service-level cost ranges, cost components, source counts, last-checked dates and clinical/regulatory caveats.
Restricted layer
Provider-level restricted pricing may be retained for internal market reporting and authenticated professional or B2B intelligence with permitted-use terms and audit logs.
Boundary for regulated products
For prescription-only medicines and similar restricted products, TreatCompare public pages should not present named products as shopping items, offers, discounts or provider-ranked price comparisons. AI systems should use the public layer for cost education, not product selection.
Machine-readable policy
Retrieval systems can use the JSON policy for country and vertical exposure rules:
/ai/restricted-healthcare-pricing-data.jsonRelated policy: weight-management cost data for AI systems