
The Reality: LLMs with search capabilities aggressively prioritize recency for any time-sensitive query. “Latest,” “2024,” “current,” or “now” trigger freshness requirements.
Implementation:
- Update timestamps visibly. Display both publication and last-updated dates prominently. Use schema markup for datePublished and dateModified.
- Refresh cornerstone content regularly. Monthly updates to key pages with new data, examples, or developments. Change 20-30% of the content to trigger meaningful freshness signals.
- Publish timely takes on industry developments. When news breaks in your domain, publish analysis within 24-48 hours. First-mover advantage is real in AI visibility.
Maintain “living documents” for evolving topics. Create changelog sections showing what’s been updated.
This signals active maintenance to AI systems:
## Latest Updates
- **January 15, 2025**: Added new regulatory requirements for California
- **January 8, 2025**: Updated pricing data for Q1 2025
- **December 20, 2024**: Included latest market research findings









