January 31, 2026 ยท 7 min read
AI systems don't just index your content once. They continuously evaluate freshness to decide what to cite. Stale content gets deprioritized. Fresh, updated content wins.
3.2x
Content updated in the last 90 days is 3.2x more likely to be cited by AI than older content.
Freshness Signals AI Systems Track
| Signal | What AI Looks For |
|---|---|
| Last Modified Date | When the page was actually changed (not just republished) |
| Content Delta | How much content changed between crawls |
| Date References | Years, quarters, "current" language in the text |
| Link Freshness | Are external links still valid? Do they point to current sources? |
| Data Currency | Statistics and data points - are they recent? |
The Freshness Decay Curve
Different content types decay at different rates:
- News/trends: 1-7 days
- Industry reports: 30-90 days
- How-to guides: 6-12 months
- Evergreen concepts: 12-24 months
- Historical content: Minimal decay
Warning: Fake freshness doesn't work. Changing the date without updating content is detected and can hurt your visibility.
Content Refresh Strategy
High-Priority Updates (Monthly)
- Statistics and data points
- Tool and software references
- Pricing information
- Competitor mentions
Medium-Priority Updates (Quarterly)
- Best practices and recommendations
- Case studies and examples
- Screenshots and visuals
- Internal and external links
Low-Priority Updates (Annually)
- Core concepts and definitions
- Company information
- Foundational guides
Technical Implementation
Help AI understand your freshness:
- Use
dateModifiedin schema markup - Include visible "Last updated" dates on pages
- Maintain an XML sitemap with accurate lastmod dates
- Use change history for major updates