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name: blog-rewrite description: > Rewrite and optimize existing blog posts for Google SEO (May 2026 Core Update, E-E-A-T) and AI citation visibility as one SEO discipline. For AI-citation-only audit (no Google work), use blog-geo instead. Replaces fabricated statistics with sourced data, applies answer-first formatting, adds images, generates SVG charts, and updates freshness signals. Works with any blog format (MDX, markdown, HTML). Use when user says "rewrite blog", "optimize blog", "update blog", "improve blog", "fix blog". user-invokable: true argument-hint: "<file-path>" license: MIT

Blog Rewriter: Optimize Existing Posts

Rewrites and optimizes existing blog posts for dual ranking: Google search and AI citation platforms. Preserves the author's voice while applying the 6 pillars of optimization.

Key references:

• skills/blog/references/quality-scoring.md - 5-category scoring (Content 30, SEO 25, E-E-A-T 15, Technical 15, AI Citation 15)
• skills/blog/references/eeat-signals.md - Experience, expertise, authority, trust markers
• skills/blog/references/internal-linking.md - Linking strategy and anchor text rules
• skills/blog/references/visual-media.md - Image sourcing and chart styling
• skills/blog/references/synthesis-contract.md - 6 LAWs for re-citation hygiene during rewrite (v1.8.0; cross-skill ref lives in the orchestrator's references dir)
• skills/blog/references/research-quality.md - cross-source clustering for replacement-statistic research (v1.8.0)

Cross-reference

For 21 evidence-led optimization prompts (quality follow-up, CTR audit, schema, PAA rewording, technical audit, ChatGPT visibility) directly applicable to rewrite work, see /blog flow optimize.

Workflow

Phase 1: Audit (Read-Only)

1. Read the blog post - Detect format (MDX, markdown, HTML)
2. Run the quality checklist against skills/blog/references/quality-scoring.md:
   • Count fabricated vs sourced statistics
   • Check answer-first formatting (H2 -> stat in first sentence?)
   • Count images and charts (type diversity?)
   • Review paragraph pacing in context; record length only as a descriptive aid
   • Check heading hierarchy (H1 -> H2 -> H3, no skips?)
   • Check schema presence and validity, prioritizing Article/BlogPosting, Person, Organization, and BreadcrumbList; FAQPage is optional entity markup only
   • Check freshness signals (lastUpdated, dateModified)
   • Assess self-promotion level
   • Evaluate citation tier quality
3. Advisory editorial style scan:
   • Sentence-length variation - Report it descriptively when rhythm needs review. It cannot determine authorship and has no pass/fail threshold.
   • Known AI phrase scan - Check for these high-frequency AI phrases:
     • "in today's digital landscape", "it's important to note", "dive into"
     • "game-changer", "navigate the landscape", "revolutionize", "seamlessly"
     • "cutting-edge", "harness the power of", "leverage" (as verb)
     • "delve", "crucial", "elevate", "foster", "landscape" (overused)
     • "multifaceted", "robust", "tapestry", "embark"
     • Full list in agents/blog-writer.md
   • Vocabulary sample - Report Type-Token Ratio (TTR) descriptively and interpret it against text length and specialist terminology.
   • Never estimate AI authorship from TTR, sentence-length variation, punctuation, or phrase density. These are advisory project-style observations only.
   • Second-order structural reflex scan (v1.8.0) - The first-order checks above are vocabulary-level. The second-order pass reviews structural repetition that can survive simple wording edits. Run against skills/blog/references/ai-slop-detection.md. Flag at minimum:
     • Repetitive question-cadence H2s that do not suit reader intent
     • Three or more "Here..." paragraph openers
     • Three-clause sentence rhythm above 50% in any 200-word window
     • More than 2 hedge words ("may," "often," "typically," "generally") in any 20-word span
     • Symmetric-list bloat (list-item word-count SD below 5)
     • More than 2 wrap-up rhetorical questions ("What does this mean for...?")
     • More than half of H2 openers starting with a transition word
     • "The key insight is..." or "What's important here is..." as sentence openers
     • Listicle pre-list intro above 250 words
     • Opening-word repetition: top three first-words above 25% share
     • Paragraph-shape SD below 25 (visual monotony) Apply editorial judgment; none of these metrics changes the score or blocks delivery.
4. Video embed check:
   • Count existing YouTube embeds in the post
   • If 0 embeds, flag: "No video embeds. Consider adding relevant high-quality YouTube embeds when they add useful context."
   • If present, check: lazy loading? aria-labels? noscript fallback? VideoObject schema?
5. Cannibalization check:
   • Identify the post's primary keyword from title, H1, and first paragraph
   • Search the blog directory for other posts targeting the same keyword:
     • Grep headings and meta descriptions across all blog posts
     • Flag any posts with significant keyword overlap
   • If cannibalization found, report:
     • Which posts compete for the same keyword
     • Recommend: merge (combine into one stronger post) or differentiate (shift one post to a related but distinct keyword)
6. Calculate current score across 5 categories:
   • Score across 5 categories (Content Quality 30, SEO Optimization 25, E-E-A-T Signals 15, Technical Elements 15, AI Citation Readiness 15)
   • Total: 0-100
7. Present audit summary with specific findings, advisory style diagnostics, video status, cannibalization status, and score
8. Enter plan mode - Present section-by-section optimization plan

Wait for user approval before proceeding.

Phase 2: Research

1. Identify the blog's core topic from existing content
2. Find replacement statistics for any fabricated/unsourced data:
   • Search: [topic] study 2025 2026 data statistics
   • Target tier 1-3 sources only
3. Find images if post has fewer than 3:
   • Prefer original screenshots, product visuals, diagrams, or data graphics when available
   • For stock, use official provider APIs such as Openverse, Unsplash, Pexels, or Pixabay so license, creator, source URL, and download URL are captured
   • Download approved assets locally, store attribution, and reject javascript:, data:, and file: URLs
   • If blog-image is available, offer AI generation for missing or insufficient images and record the selected model ID
4. Plan charts if post has fewer than 2:
   • Identify data suitable for visualization
   • Select diverse chart types

Phase 3: Chart Generation (Built-In)

When the post needs more visual elements, invoke the blog-chart sub-skill:

1. Select chart type using the diversity rule (no repeated types per post)
2. Pass: chart type, title, data values, source, platform format
3. Embed the returned SVG directly within a <figure> wrapper
4. Target 2-4 charts per 2,000-word post

See skills/blog/references/visual-media.md for chart type selection and styling rules.

Phase 4: Content Rewrite

Apply changes in this order:

4a. Preserve What Works

• Keep the author's voice and unique perspective
• Preserve original insights and first-hand experience
• Keep existing quality images and charts
• Maintain internal links

4b. Fix Frontmatter

• Update lastUpdated only when the rewrite materially changes facts, methods, or recommendations
• Keep original date unchanged
• Fix the meta description so it accurately and specifically summarizes the visible content
• Add coverImage + coverImageAlt + ogImage if missing
  • Search Pixabay/Unsplash/Pexels for wide hero image (1200x630)
  • Or generate custom SVG cover via blog-chart (text-on-gradient with key stat)
  • Or generate custom AI image via blog-image sub-skill when available; record the model ID
• Verify tags/categories are appropriate

4c. Apply Purpose-First Formatting

State the point of important sections early, then add the verified evidence and context each claim needs. Do not force statistics or word bands.

4d. Replace Fabricated Statistics

• Search for patterns: "X% of...", "X out of Y...", unsourced claims
• Replace with real data from tier 1-3 sources
• Give each material claim enough provenance to verify and interpret it. Include publisher or document details, relevant dates, methodology, limitations, and a stable URL when the claim requires them; do not force a fixed citation form.

4e. Improve Headings

• Use question or declarative headings according to reader intent; no ratio target
• Ensure keyword appears in 2-3 headings naturally

4f. Fix Paragraph Length

• Split paragraphs only when doing so improves comprehension
• Use paragraph length as an optional planning observation, not a fixed target
• Ensure each paragraph starts with its most important sentence

4g. Add Visual Elements

• Embed new images after H2 headings, spaced evenly
• Embed charts within relevant sections
• If blog-image is available: generate custom images for sections lacking good stock matches, prefer the current image model registry, and record the model ID
• Adapt embed format to detected platform (MDX vs markdown vs HTML)

4h. Add Video Embeds

If the post lacks YouTube video embeds:

• Search 2-3 relevant videos using quality criteria from skills/blog/references/video-embeds.md
• Embed using platform-appropriate format (srcdoc lazy loading)
• Place: 1 after introduction, 1-2 in mid-article sections
• Include noscript fallback for AI crawlers

4i. Add/Improve FAQ

• If the query set warrants it and no FAQ exists, add one (3-5 questions)
• If FAQ exists, ensure answers are complete and contain verified support where needed
• FAQPage is optional entity markup only. Google FAQ rich results were fully retired for all sites on 2026-05-07, so do not make FAQPage a core Google rich-result gate.

4j. Reduce Self-Promotion

• Max 1 brand mention (author bio context only)
• Remove "At [Company], we..." patterns
• Convert promotional sections to educational content

4k. Evidence-Backed Explanation

For important claims, generate or improve a self-contained explanation with enough context and verified support to stand on its own. Do not pad every H2.

• Placed naturally within the section body, not as a separate callout

Example:

[Verified source title], a [method or sample description] published on [date],
found [specific metric] for [audience or market] ([Source name](https://example.com/full-report),
retrieved YYYY-MM-DD). In practical terms, connect the evidence to one action
the reader should take before making a claim or changing a workflow.

Do not pad explanations to a fixed length or add them solely to earn readiness points.

4l. Project Voice and Repetition Review

Apply these transformations only where they improve the configured voice:

• Eliminate em dashes - Replace every U+2014 character with a comma, hyphen, colon, or period. Split sentences if needed. This is a project style rule.
• Replace flagged phrases - Swap every detected AI phrase (from the scan in Phase 1 step 3) with a natural alternative. Examples:
  • "it's important to note" -> "worth noting" or "keep in mind"
  • "in today's digital landscape" -> "right now" or "in [specific year]"
  • "leverage" -> "use", "apply", "take advantage of"
  • "delve" -> "look at", "explore", "dig into"
  • "robust" -> "strong", "solid", "reliable"
  • "crucial" -> "key", "essential", "critical" (or restructure the sentence)
• Vary sentence length deliberately - After rewriting, scan each paragraph. Inject short punchy sentences (5-10 words) between longer ones (18-25 words). Target: no more than 3 consecutive sentences within 5 words of each other's le