Identifies outdated statistics, dates, and examples in web content to maintain search relevance and combat ranking decay.
The SEO Content Refresher skill is designed to proactively maintain the 'freshness' of digital content by identifying obsolete elements that harm search engine performance. It scans for content decay, such as statistics older than two years, outdated case studies, and stagnant meta titles, providing a structured refresh plan. By suggesting new sections, updating schema signals, and integrating recent industry trends, this skill helps users improve E-E-A-T signals and recover lost organic traffic for high-value pages.
主要功能
01Automated identification of outdated statistics and time-sensitive references
02Analysis of expired links, dated terminology, and missing industry developments
0339 GitHub stars
04Comprehensive content decay analysis and priority queuing
05Recommendations for new section additions and trend integration
06Freshness signal optimization for schema and meta-data
使用场景
01Revitalizing high-traffic blog posts that are experiencing a decline in search rankings
02Improving site-wide E-E-A-T by auditing expertise and authority signals in older articles
03Updating annual guides and seasonal content to reflect the current year's statistics and trends
