AI Trust Center

Make trust part of every SaaS you launch.

This starter includes a reusable Trust Center pattern for AI-powered SaaS products. It gives customers a clear explanation of privacy, data handling, model usage, billing, and the human review process.

AI usage

Use AI for drafts, summaries, recommendations, exports, and workflow automation where it helps the user.

Data handling

Use Supabase behind server-side routes for customer records, saved projects, and admin reporting.

Payments

Use Stripe for checkout and subscriptions; store access state, not raw payment credentials.

User inputs

Prompts, form fields, project details, files or text intentionally submitted by the user.

Generated output

Draft copy, recommendations, exports, saved projects, and workflow summaries.

Account records

Login identity, subscription access, saved settings, projects, and support context.

Billing records

Stripe customer IDs, subscription state, invoice status, and webhook event references.

Legal and website-analysis notice

Policies control. This page is a transparency summary. The Privacy Policy and Terms of Service govern use of SiteGraph™.

Analysis limitations. Crawls, imports, screenshots, AI suggestions, and accessibility or SEO observations may be incomplete, delayed, or inaccurate.

Authorized use. Respect site terms, robots controls, access restrictions, rate limits, privacy rights, and intellectual-property rights.

No certification. Output is not a legal opinion, accessibility certification, security audit, or guarantee of search performance.

Security and vendors. Safeguards reduce risk but cannot guarantee absolute security. Providers may process URLs and content needed for requested analysis.

Names and marks. SiteGraph™ and DVGProOS™ are claimed trademarks. Third-party marks belong to their respective owners.

Production standard

Replace placeholders with product-specific policy before launch.

Every cloned SaaS should update this page with exact data fields, retention rules, subprocessors, deletion workflows, model providers, and support contact details before collecting live customer data.