| Primary buyer | The business/brand that owns the reputation, direct | Marketing agencies and SEOs reselling to SMB clients under white label Different go-to-market models, not just different products |
| Core review management | Yes — Google, Yelp, Facebook, Tripadvisor, Trustpilot inbox; AI drafts; multi-stage approval; multi-location | Yes — multi-site review monitoring, request campaigns, response management per grade.us marketing pages |
| Solicitation channels | Email, SMS (10DLC), WhatsApp Business | Email and text message campaigns per grade.us; WhatsApp not found on public pages |
| White-label / agency reseller features | Not a current focus — Vouch sells directly to the operating business | Core to the product — branded dashboards, custom domains, agency margin messaging (grade.us markets up to ~70% agency profit margin) This is Grade.us's primary differentiator |
| Pricing transparency | Contact sales | Partially public — search-aggregator listings (Capterra, ITQlick) cite tiers around $99–110/mo single-location, ~$60/location/mo for 2–10 locations, and $400+/mo for agency/reseller plans; we could not independently verify these on a live grade.us pricing page at the time of research Grade.us's own /home/plans/ and /pricing-plans pages did not render verifiable tier pricing during our July 2026 research — figures above come from third-party listing sites, not grade.us directly |
| FTC review-gating history | Built around 16 CFR Part 465 (2024 FTC fake-review rule); AUP prohibits review gating by design | Grade Us, LLC received an FTC warning letter dated January 25, 2022 (released via FOIA) citing its marketed 'Review Funnel Layouts' — language guiding happy customers to review sites while intercepting unhappy ones — as capable of creating a misleading impression of consumer sentiment Per FTC FOIA-released warning letters reported by Near Media; Grade.us's own blog subsequently recommends setting the star-rating threshold to 'ALL' rather than routing by sentiment |
| Public AI policy page | Yes — /ai-policy/, names Anthropic Claude, no-training terms, 30-day abuse-review retention, MCP scope, GDPR Art. 22 | Not found — no AI features or AI policy page identified on grade.us public pages as of this research |
| Named AI model provider | Anthropic Claude (published in /subprocessors/ and /ai-policy/) | Not applicable — no public AI feature set identified for Grade.us at the time of research |
| Public sub-processor list | Yes — https://www.tryvouch.io/subprocessors/ | Not found. Traject's privacy policy (at grade.us/home/privacy) states it will not sell, share, or rent personal information to third parties, but no enumerated sub-processor list was found |
| SOC 2 / ISO 27001 / security page | Roadmap — SOC 2, ISO 27001; controls documented at /security/ | Not found — no public security page, SOC 2, or ISO 27001 disclosure identified for Grade.us or parent Traject during this research |
| HIPAA / BAA | Available on request — support@aartha.ai | Not found on public pages |
| Multi-location and franchise support | Native multi-location with per-location/per-region/per-corporate hierarchy | Multi-location plan tier exists (2–10+ locations); franchise-specific hierarchy not detailed on public pages |
| Developer API and OAuth | OAuth 2.1 server, MCP server for LLM clients, webhooks (HMAC-SHA256), public REST API | API access referenced in feature listings; OAuth/MCP/webhook specifics not enumerated on public pages |