blog-rewrite

Blog Rewrite optimizes existing blog posts for dual ranking — traditional Google search (treating the May 2026 Core Update and E-E-A-T signals as one SEO discipline) and AI-citation visibility — while preserving the author's voice. It solves the problem of legacy posts that underperform because they contain fabricated statistics, weak formatting, thin visuals, or stale freshness signals, applying six pillars of optimization guided by a set of reference documents for quality scoring, E-E-A-T signals, internal linking, and visual media.

The workflow runs a read-only audit first: it detects the format (MDX, markdown, HTML), scores the post across five weighted categories (Content, SEO, E-E-A-T, Technical, AI Citation), counts fabricated versus sourced statistics, checks answer-first formatting and heading hierarchy, validates schema and freshness signals, and runs advisory editorial-style scans (AI-phrase detection, type-token ratio, and a second-order structural-reflex scan) that are explicitly advisory and never gate delivery. It also checks video embeds and keyword cannibalization across the blog directory. After user approval it researches replacement statistics from tier 1-3 sources, sources images through official provider APIs (Openverse, Unsplash, Pexels, Pixabay) while capturing license and attribution and rejecting javascript:, data:, and file: URLs, and generates charts via the blog-chart sub-skill.

It targets content marketers, SEO specialists, and technical writers maintaining a body of published posts who want a structured, voice-preserving optimization pass grounded in current ranking and AI-citation practices.