Track where every page sits in its content lifecycle
Use crawl timestamps, Search Console trends, and content quality signals to classify pages by lifecycle stage, from newly published through peak performance to decline and retirement candidates.
Illustrative preview - actual platform experience may differ.
How it works
Connect data, classify stages, plan by lifecycle position.
Connect your data sources
Crawl your site and connect Search Console. Morrison has content timestamps, quality signals, and performance trends.
Classify lifecycle stages
Workflows ask the AI to assign each page a lifecycle stage based on age, traffic trajectory, content quality, and competitive position.
Plan by stage
See which pages are growing, peaking, declining, or ready for retirement. Allocate team resources based on where pages actually are, not guesswork.
What you can do
Automated stage classification
Workflows ask the AI to assign lifecycle stages based on content age, traffic trajectory, quality signals, and competitive position. Each page gets a clear label.
Performance trajectory analysis
Cross-reference Search Console trends with crawl data to see whether each page is on an upward, flat, or declining trajectory over recent months.
Age-based segmentation
Group pages by content age and compare performance across cohorts. See how your newest content performs relative to pages published a year or more ago.
Retirement candidate identification
Surface pages with minimal traffic, declining trends, and outdated content that may be better retired or consolidated rather than maintained.
Growth stage detection
Identify newly published pages that are gaining traction. Spot early winners that could benefit from additional investment in links, promotion, or content depth.
Portfolio health overview
See the distribution of your content across lifecycle stages. Understand what percentage of your site is growing, peaking, declining, or stale.
Frequently asked questions
What are the content lifecycle stages?
Typical stages include: newly published (indexing and gaining traction), growing (traffic increasing), peak (maximum performance), declining (traffic dropping), and retirement candidate (minimal value). Morrison classifies pages based on performance trajectory and content signals.
How does Morrison assign lifecycle stages?
Workflows analyze each page's age, Search Console traffic trajectory, content quality signals, and competitive position. The AI classifies pages into lifecycle stages based on these combined signals, giving your team a portfolio view.
What do I do with pages in different stages?
Growing pages may need link building support. Peak pages need monitoring. Declining pages need refresh evaluation. Retirement candidates need pruning analysis. Each stage has different optimal actions, and Morrison helps you see the full picture.
Related use cases
Adjacent jobs your team will hit next.
Related reading from the blog
What Is Content Decay and How to Detect It
Content decay silently erodes organic traffic. Learn what causes it, how to spot early warning signs, and what to do before decline becomes a cliff.
Read articleThe Content Refresh Playbook
Read articleAI for Content Operations: What Actually Works in 2026
Read articleReady to understand your content?
Morrison helps your team manage and optimize content at scale. Join the waitlist to get early access.
Join waitlist