AI Content Decay

AI content decay refers to the progressive loss of AI citations of content that is not regularly updated. Unlike SEO where good positioning can last for years, AI visibility fluctuates rapidly: content cited last month may be replaced by a more recent source this month.

Why AI favors freshness

AI engines evaluate publication and update dates as relevance signals. A guide published in 2024 without updates will lose ground against an article from 2026 on the same subject. Adding a visible "Last updated" date, recent data and current examples is essential.

How to fight content decay

The Optimize phase of our IDO methodology integrates a quarterly update cycle of key content. Our AI monitoring detects citation drops and triggers updates before decay significantly impacts visibility.