Trust
Trust and methodology
Our trust model is review-first and evidence-oriented.
What we are doing first: information, not promises
- Intent-first routing by county, city, and state to keep context accurate.
- Queueed processing for leads and provider submissions.
- Clear status indicators so users know when a request is in review vs. ready for follow-up.
Quality and moderation controls
- Manual review gates before public listing changes and feature visibility upgrades.
- Structured validation on intake payloads to reduce invalid, duplicate, or malformed captures.
- Audit logs capture moderation and routing state changes for accountability.
- Spam and abuse controls are enforced with timing checks, tokenized request checks, and payload anomaly handling.
Data trust and retention posture
- Form and inquiry data is retained for operational and legal utility windows, then pruned or redacted per policy.
- PII is not embedded in analytics events.
- Consent events include version, method, and timestamp for every marketing-opt-in decision.
- Deletion and redaction workflows are routed with authorization controls and audit visibility.
EEAT and trust signals in content
- County and state pages include local process details and local readiness context before action.
- Listing claims are explicitly separated from queue status and moderation state.
- Provider status includes review context instead of unqualified placement messaging.