Keevo

Keevo is an AI-driven content optimization tool designed to automatically detect and refresh web pages that have experienced a decline in organic traffic or search engine performance. The platform focuses on what it calls “decaying content”—articles, blog posts, or landing pages that once performed well but have gradually lost their ranking positions due to outdated information, decreased freshness signals, or shifts in search intent. Instead of requiring SEO and content teams to manually identify these pages and rewrite them from scratch, Keevo streamlines the entire refresh process into a few clear steps. First, a user provides a single URL to Keevo. The system then analyzes the page’s current content, its historical performance data (if available), and the surrounding competitive landscape. It cross-references the topic with up‑to‑date search results, recent publications, and authoritative sources to determine what information has changed or become irrelevant. Using this research, Keevo generates a detailed refresh plan that highlights sections needing updates, new statistics to include, and potential structural improvements. After the research phase, Keevo automates the heavy lifting: it produces a publish‑ready draft that incorporates all the gathered findings. The draft retains the original page’s core value proposition and focus keyphrase, while inserting fresh facts, current examples, and revised headings. The output is a complete article or page that feels contemporary but stays true to its original purpose. Users can then review, edit, and polish the draft using their own editorial guidelines before publishing. One of Keevo’s core strengths is its ability to scale content refreshes across a large portfolio. It is used by over 100 SEO and content teams, suggest