How do I catch published answers that have quietly become wrong?
Tag the claim types that can expire when you publish — vendor behavior, platform policy, regulation, your own service list — and give the page a review interval based on its fastest-expiring claim. Then run reviews on that schedule instead of waiting for someone to notice. Most stale content does not read as wrong. It reads perfectly fine and is simply no longer true.
Stale content does not announce itself
A broken link is obvious. A page describing a menu path that moved eighteen months ago, or a policy that changed, or a limit that was raised, reads exactly as confidently as it did the day it was published. Nobody reports it because nobody encountering it knows it is wrong — and the people who do know are not reading your library.
That means detection has to be scheduled. There is no organic feedback loop that surfaces it.
Classify claims by how fast they expire
- Vendor interface and API behavior. Fastest-moving category. Screens, field names and endpoint behavior change without notice.
- Platform policy. Ad policies, listing rules and content guidelines change on the platform's schedule, not yours.
- Regulation. Varies enormously by topic and jurisdiction. Anything touching consent, licensing or privacy should be reviewed with counsel rather than by an editor.
- Definitional and mathematical. A denominator does not expire. These can go years.
- Your own offerings. Event-driven, not scheduled. Trigger a sweep when a service, brand or partnership changes.
Event triggers beat calendars for the things you control
When you stop offering a service, when a vendor you write about ships a breaking change, when your own process changes — those are moments to search the entire library for mentions and fix them all at once. This requires that your content be searchable as data, not just published as pages. If the only way to find every page mentioning a term is to use site search, the sweep will not happen.
Keeping a machine-readable index of your published answers alongside the site is a small piece of engineering that makes the whole maintenance program feasible.
Automate detection, never the correction
A scheduled job can compare pages against a watchlist of changed terms, flag pages past their review interval, and route each to the right person. It should not rewrite the claim, because the system does not know what the new truth is — only the person who lived the change does.
This is the same division of labor we use everywhere in operational AI: the system finds and routes, the human decides. Building it means connecting the content store to the systems that know when things changed, which is standard integration work.
Topics: content maintenance · accuracy · review process · governance
Have a version of this question about your own business?
The useful answer usually depends on which systems you run and how they're connected. That's a conversation, not a blog post.