Validator suite in CI
Schema validation runs on every pull request. If a change breaks a Schema.org rule or a custom @graph rule, the build fails before it ships.
What it actually is
I add a validator suite to your CI that runs on every PR. It checks Schema.org compliance, your custom @id and sameAs rules from the architecture decision record, and the entity-resolution disambiguation tests from the emulation work. A PR that breaks any of those rules fails the build with a readable error pointing to the offending field.
Most teams treat schema validation as a one-time launch check. The validator suite makes it a permanent part of the development loop, the same way unit tests are. A developer who breaks the schema knows immediately, not three weeks later when the AI citation tracker shows a drop.
Deliverables
- Validator suite committed to your repository
- CI configuration (GitHub Actions, GitLab CI, CircleCI, whatever you use)
- Custom rule set documenting every check beyond stock Schema.org
- Failure-mode docs (what each error means, how to fix it)
- Pre-commit hook variant for engineers who want feedback before pushing
What breaks without it
Without CI gates, schema decays. I've measured the half-life: roughly 60 to 90 days from launch to first regression on a team that ships weekly. Without monitoring, that regression sits invisibly until the next time someone runs a manual audit, by which point three more regressions have stacked behind it.
The most common regression I see post-Sprint: a developer adds a new field to a Product component, forgets to update the schema generator, and ships a Product entity missing the price field. Validator catches it in a 12-second test run. Without the validator, it ships, AI engines stop including the product in shopping answers, and the team finds out from a quarterly visibility review.
How it fits the Sprint
The validator suite is what makes the Sprint work durable. Without it, the per-template implementation decays and you end up rebooking a Sprint in 18 months. With it, the Retainer's regression monitoring has something to monitor, and incident response has a signal to respond to.
The full Sprint breakdown
Stop pouring budget into a broken foundation.
If your SEO retainer hasn’t compounded, your AI citations have stalled, or your last technical audit ended in a deck nobody read, that’s not a content problem. It’s an engineering problem. The same engineer who diagnoses ships the fix.