I would update based on how quickly the underlying information changes not on a fixed schedule.
I do not think that I will prefer to have updates simply becuz one wants to stay current. for me, it make more sense to update any information only if there are change.
Yeah, agreed, query-based freshness makes more sense than a fixed schedule. Some topics genuinely shift fast; without tracking those changes, you're just stuck in a loop reposting outdated info.
Good breakdown, especially the quarterly vs 6–12 month split based on topic volatility. That's basically the practical version of what @KoD- said: tie the update frequency to how fast the underlying facts actually move, not a calendar.
Fair, updating just for the sake of "staying current" doesn't always add value, only makes sense if something actually changed.
I don't think a full rewrite is usually needed. Small tweaks or additions often work fine, since it's rarely the entire topic that's outdated, just specific facts, numbers, or examples within it.
That's true; updating based on demand and real trend shifts makes more sense than doing it on autopilot.
Agreed, accuracy and usefulness should always come first; freshness for its own sake doesn't help if the content itself isn't actually adding value.
Good addition with the "Last updated" note; that's a small thing, but it probably helps both users and AI systems quickly gauge relevance without needing to re-crawl the whole page.
Fair point, and the 1-3 month cycle for important posts makes sense if the topic actually has enough movement to justify it. Agreed that relevance still matters more than freshness alone; freshness without real changes is just noise.
surely, I will depend on the rate of changes in the topic than depending on time period that call for an update. when it comes to the ai citation update, what matter more is not the changing dates but what one can add to it.
