Content Refresh AI (CRAI Content Updater) is a freemium WordPress plugin that scans posts for outdated facts, prices, dates, and SEO, then rewrites them with…
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Content Refresh AI, marketed as the CRAI Content Updater, is a self-serve WordPress plugin built to solve content decay, the slow erosion of search rankings and trust that happens when published articles fall out of date. Rather than manually auditing an archive of posts, site owners install the plugin, connect their own AI API key, and let CRAI scan every post for outdated facts, statistics, prices, years, and SEO signals. The plugin then rewrites the stale portions in place, keeping the surrounding content and formatting intact.
The free tier is positioned as "free forever" with unlimited refreshes and no monthly caps. It covers the core workflow: bulk refresh across many posts at once, a freshness score that prioritizes which content is most decayed, update history, content-type updates for dates, facts, prices and reviews, on-page SEO optimization (titles, meta descriptions, keywords), tone improvements, and a draft-review step so nothing is published without approval. It works with both the Gutenberg block editor and Elementor, and connects to Anthropic Claude, OpenAI, and Google Gemini using the user's own API keys, so AI usage is billed directly by the model provider.
The $19.99/month Pro plan adds a full content-generation layer on top of refreshing: an Article Creator that builds drafts from SERP-aware outlines, Deep Research with two-stage live fact-checking that rejects sources older than six months, per-section research, an Expert Editorial Pass for publication-quality polish, AI image generation (DALL-E, Stability AI, and stock photos), before/after SEO score grading, and performance tracking for traffic and ranking changes. Because the plugin runs inside WordPress and relies on bring-your-own AI keys, it is aimed at bloggers, SEO teams, agencies, and publishers who want to keep a large content library current without paying per-seat SaaS fees on top of their model spend.