Evergreen content
Evergreen content is content that stays useful long after it's published, like how-to guides and explainers, as long as you keep it accurate.
Evergreen content is content that stays useful for years. A guide to brewing coffee with a French press, an explainer on what "single origin" means, or a checklist for choosing a dining table will still answer someone's question long after it's published. News, trend pieces and seasonal offers are the opposite: they matter for a while and then fade.
For a marketer, evergreen pages are the ones that keep bringing in visitors without new spend. They're also the ones most often found by search engines and AI platforms answering the same questions over and over.
Evergreen doesn't mean untouched
The topic stays the same, but the details drift. Prices change, products are discontinued, links break, and better advice comes along. An evergreen page that nobody has looked at in three years can quietly turn into a page full of wrong facts.
So treat them like a garden. Review them on a schedule, update what's changed, and show the date you last checked them.
For example, Fernhill Coffee's guide to choosing a grinder has brought in visitors since 2021. It still recommends two grinders that are no longer made. Swapping in current models, adding prices, and updating the date keeps it useful and keeps it accurate when someone quotes it.
Evergreen content and AI answers
AI platforms answer the same kinds of questions every day, so a clear page on a lasting question can be read and cited again and again. That makes evergreen pages some of the most valuable you have in AI search. It also makes them risky when they're stale: an old price or a discontinued product on your own page is something an answer can repeat about you.
In AnswerOrbit
Page checks in Recommendations include whether a page shows a visible date. Claims checks what the answers say about you against your facts, and Inaccuracy drivers shows the pages behind a wrong claim, so you can see when an old page of yours is the source. See Recommendations and Claims.