Does updating the date on a page help it get cited by AI?
Changing the date without changing the content does nothing useful and can work against you, because the stated date gets compared with the substance of the page and with what other sources say. Freshness matters where the correct answer genuinely changes over time — rules, versions, seasonal advice, anything with a model number in it. For a stable explanation, an honest old date beats a false new one. Update the fact, then update the date.
Freshness is a property of the topic, not of the page
Ask how often the correct answer to this question actually changes. Refrigerant regulations and equipment efficiency standards change on a schedule. Why a condensate line clogs has not changed in decades.
That answer is your review interval. Pages about changing rules get reviewed on the rule's cycle. Pages explaining physics get reviewed when something is wrong with them. Treating both the same either wastes effort or leaves bad information standing.
What a date claim actually does
It gives a machine an anchor for judging recency, and it creates a contradiction risk. A page dated last month that references a product discontinued three years ago, cites a regulation that was superseded, or shows a screenshot of software that no longer looks like that is now demonstrably inconsistent with itself.
Inconsistency is cheaper to detect than quality. A stale-but-honest page loses a little on recency. A freshly-dated page full of dead references loses on trustworthiness, which is worse and harder to recover.
The maintenance pattern that holds up
- Assign a review interval per page type, not per page. Regulatory content quarterly; process content annually; explanatory content on discovery of an error.
- State the change in the prose. 'As of 2026, the requirement is X' is more useful to a machine than a modified date field nobody can verify.
- Remove stale specifics rather than leaving them. A deleted outdated detail is better than an updated date sitting above it.
- Log what changed. If you cannot say what changed, you did not update the page.
- Never bulk-touch dates across a site. It is detectable, it is dishonest, and it teaches your own team that the date field means nothing.
The stale tells that machines catch easily
Superseded product or version names. A year in a heading that has passed. Screenshots of interfaces that no longer exist. Outbound links that 404. Statements about 'the new' anything that is now five years old.
Each of these is trivially checkable at scale, and together they say more about whether a page is maintained than any date field. Auditing them across a large library by hand is impractical, which is one of the more genuinely useful jobs for automated content review — and it is why an answer library should be built as structured data rather than as hundreds of hand-edited pages.
Topics: freshness · content maintenance · dates · tradeoffs
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.