Keeping Your Content Fresh

Last updated: June 24, 2026

A Freshness Gap is any page that hasn't been updated in 12 or more months. AI engines prefer fresh content because the data they were trained on is stale, and content updated within 30 days earns roughly 3x more citations than older material. This article explains how to diagnose and fix it.

What the Freshness Gap is

AI engines treat a recent update as a trust signal: "this fact is current." Without it, engines default to the most recently updated source in the answer set, and if you last edited your page 18 months ago, that source is probably a competitor. Freshness isn't about gaming a date; it's about giving engines a credible reason to prefer your page.

The 3-point freshness check

A page passes if:

There's a visible "Last updated" line on the page (not just in the meta), with month and year.
The BLUF includes the current month and year ("As of April 2026...").
At least one stat, date, or source on the page is from within the last 12 months, ideally the last month.

The 30/60/90-day refresh cadence

Not every page needs the same cadence. Match it to page type:

Page type	Cadence	Why
Top cited URLs	30 days	Highest-leverage pages; small refreshes compound
Comparison / "best of" pages	30–60 days	Market shifts, new competitors, pricing changes
How-to / tutorial pages	60–90 days	Tool versions, UI changes, deprecations
Pillar / evergreen guides	90 days	Stable topic, but still needs a light refresh
Archived / legacy pages	As needed	If still linked, add a "last reviewed" date

Refresh vs. rewrite

Most old pages don't need a rewrite, they need a refresh. The 4-step refresh takes under 20 minutes per page:

Update the dateline at the top ("Last updated: April 2026").
Swap the year in the BLUF ("As of 2024" becomes "As of April 2026").
Replace one outdated stat with a current one.
Add one sentence with the latest relevant data point.

Build this into a weekly task. One writer can refresh 10 pages a week at 30 minutes each, sustained.

Keep dateModified in sync

Add dateModified to your Article JSON-LD schema every time you refresh, and make it match the human-readable "Last updated" line:

{

"@context": "https://schema.org",

"@type": "Article",

"datePublished": "2024-01-15",

"dateModified": "2026-04-15"

}

If the HTML says April 2026 but dateModified says 2024, engines trust neither.

The lazy-refresh trap

Changing only the dateline without updating any content is detectable and gets deprioritized. AI engines compare dateModified against the actual diff of the page, so you need at least one substantive change, a new stat, a new example, or an updated section, for the refresh to count.

Do this now

Sort your top 10 cited pages by last-modified date. Pick the oldest one that still drives traffic and run the 4-step refresh today.

What Is a Content Gap?
Writing a BLUF Answer
Strengthening Evidence and Data
Adding E-E-A-T Signals