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AI SAAS LAUNCH CHECKLIST

Launch the product, the account and the commercial path together.

An AI SaaS website is complete only when the promise, account, plan, usage boundary, order, payment event, entitlement, support and discovery layer agree. This checklist turns those dependencies into thirty direct checks. It avoids claims about model superiority or conversion performance and focuses on what an owner can verify before inviting real buyers.

Author: 西安天澈信息科技有限公司Published: 2026-07-30Modified: 2026-07-30No unverified statistics
Launch the product, the account and the commercial path together.
30 launch checks across six layersA practical, source-linked operating guide

1. Offer and proof

  1. Name one buyer, one urgent problem and one measurable product outcome.
  2. Explain supported models, integrations and limits without vague “all AI” claims.
  3. Publish a demo or internal deployment case with current real state.
  4. Separate public evidence from private account or transaction capabilities.
  5. Give every plan a stable SKU, deliverable and entitlement definition.

2. Account and usage

  1. Choose verified login methods and one internal customer identity.
  2. Document rate limits, quotas, model availability and acceptable use.
  3. Design recovery, suspension and deletion paths before launch.
  4. Keep API credentials and provider secrets out of browser code.
  5. Attach entitlements and usage records to the verified account.

3. Order and payment

  1. Create the order on the server from a registered plan and expected amount.
  2. Show only payment methods proven ready in the active runtime.
  3. Verify provider event signature, amount, currency and account ownership.
  4. Grant access only after the trusted success event commits.
  5. Test retry, duplicate event, refund, dispute and failed callback.

4. Support and operations

  1. Provide product FAQ, incident status and human escalation.
  2. Keep account, money, security and deletion cases out of generic robot answers.
  3. Link tickets to the verified user, plan and order.
  4. Document upstream outages, model changes and data handling responsibilities.
  5. Prepare an operator runbook and a versioned rollback.

5. Search and AI discovery

  1. Publish one canonical product entity across page, schema and machine files.
  2. Create buyer-intent pages that answer distinct questions without mass duplication.
  3. Give cases public URLs, architecture, current state and evidence boundaries.
  4. Allow legitimate crawlers on public pages and noindex private operations.
  5. Measure AI referrals, demos, audit starts, checkout starts and completed orders separately.

6. Release acceptance

  1. Test every visible action in desktop and mobile browsers.
  2. Verify English and Chinese pages contain no mixed-language placeholders.
  3. Verify canonical 200, legacy 301, private noindex/auth and sitemap consistency.
  4. Run one non-money sandbox or contract test for each provider adapter.
  5. Record source, version, evidence, owner, production boundary and rollback.

Primary sources and references

These links define platform behavior or security guidance. They are sources, not endorsements of TC SiteOS.

FROM GUIDE TO VERIFIED BUILD

Build the AI product around one verified buyer path.

The AI Commerce Launch Kit connects positioning, account, order, support and discovery.

Start the AI SaaS launch