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)

Read the blog post - Detect format (MDX, markdown, HTML)
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
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.
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?
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)
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
Present audit summary with specific findings, advisory style diagnostics, video status, cannibalization status, and score
Enter plan mode - Present section-by-section optimization plan

Wait for user approval before proceeding.

Phase 2: Research

Identify the blog's core topic from existing content
Find replacement statistics for any fabricated/unsourced data: - Search: [topic] study 2025 2026 data statistics - Target tier 1-3 sources only
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
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:

Select chart type using the diversity rule (no repeated types per post)
Pass: chart type, title, data values, source, platform format
Embed the returned SVG directly within a <figure> wrapper
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 length. - Use rhetorical questions sparingly - Add one only when it clarifies the reader's next decision. - Use contractions naturally - Replace formal constructions with contractions where they sound natural: "it is" -> "it's", "we have" -> "we've", "do not" -> "don't", "is not" -> "isn't". - Support first-hand language - Keep "we tested" or "in our experience" only when methodology, observations, or evidence can substantiate the claim.

4m. Summary Box (Key Takeaways)

If the post lacks a summary box, add one immediately after the introduction:

> **Key Takeaways**
> - [Core finding with statistic and source]
> - [Second key insight or recommendation]
> - [Third actionable takeaway]
> (Use concise bullets sized to the material. Keep the summary self-contained so the reader gets
> the core value without reading the full article.)

Default label is "Key Takeaways", but this is configurable per persona or brand voice (e.g., "The Bottom Line", "Quick Summary", "What You Need to Know").

If an existing TL;DR box is useful, convert it to concise Key Takeaways and verify every factual statement is supported. Do not add a statistic merely to fit the format.

4n. Information Gain Marker Injection

Review the post for original value and tag it: - [ORIGINAL DATA] - Any proprietary data, survey results, experiments, or case study metrics the author collected first-hand - [PERSONAL EXPERIENCE] - First-hand observations, lessons learned - [UNIQUE INSIGHT] - Novel analysis, contrarian perspectives backed by data

If the post lacks original value markers: - Ask the author for first-hand data or experience to include - At minimum, add analytical insights that connect existing research in new ways - Target: at least 2-3 markers per post

Use HTML comments () or visible callouts depending on the post's style.

Phase 5: Verification

After rewriting, verify all quality gates pass:

Core Quality Gates

Important claims state their point clearly and include verified support where needed
Paragraph and sentence pacing suits the audience; length alone cannot fail review
Zero fabricated statistics
Heading hierarchy is clean
Article-priority schema present and valid; FAQPage only if useful as optional entity markup
Images have descriptive alt text
Cover image present in frontmatter (coverImage + ogImage)
If MDX: build the project to verify no compilation errors

New Element Verification

Optional summary is useful and contains no unsupported claims
Any information-gain markers identify supported original material
Important reusable claims are self-contained and evidence-backed
Internal linking zones marked or actual links present (5-10 per 2,000 words)
Configured project style-list terms reviewed in context

Editorial Style Check

Sentence-length variation reviewed descriptively, with no authorship verdict
Contractions used naturally throughout
Rhetorical questions used only where useful
No unsupported first-hand claims
Score improved across all 5 categories vs Phase 1 audit
YouTube video embeds present with lazy loading, aria-labels, and noscript fallback

Phase 6: Summary

## Blog Optimization Complete: [Title]

### Score Change
- Before: [X]/100 ([Rating])
  - Content Quality: [X]/30
  - SEO Optimization: [X]/25
  - E-E-A-T Signals: [X]/15
  - Technical Elements: [X]/15
  - AI Citation Readiness: [X]/15
- After: [Y]/100 ([Rating])
  - Content Quality: [Y]/30
  - SEO Optimization: [Y]/25
  - E-E-A-T Signals: [Y]/15
  - Technical Elements: [Y]/15
  - AI Citation Readiness: [Y]/15

### Editorial Style Diagnostics
- Configured style-list terms reviewed: [N]
- Sentence-length variation: [descriptive observation]
- These observations do not infer authorship and do not affect the score.

### Cannibalization
- [Status: none found / flagged N posts / resolved]

### Changes Made
- [X] statistics replaced with sourced data
- [X] SVG charts added (types: ...)
- [X] images added from Pixabay/Unsplash
- Answer-first formatting applied to [N] H2 sections
- FAQ section updated with [N] questions; FAQPage emitted only as optional entity markup if appropriate
- TL;DR box: [added/updated]
- Information gain markers: [N] ([types])
- Evidence-backed explanations improved: [N]
- Configured project style-list terms reviewed: [N]
- lastUpdated set to [date]
- Self-promotion reduced to [N] mentions

### Visual Elements
- Charts: [count] ([types])
- Images: [count]
- YouTube videos: [count] ([titles])

### Ready for
- `/blog analyze <file>` to verify final score
- Publishing / deploying

Phase 5.5: Delivery Contract Enforcement (v1.9.0)

Before presenting the rewritten draft, run the 5-gate delivery contract per skills/blog/references/blog-delivery-contract.md. The contract applies to rewrites the same way it applies to new posts: the user is never the first reviewer.

Steps:

Hero check: if the existing post already has a hero image referenced and still on disk, keep it. If the rewrite changed the topic substantially OR the hero is missing, regenerate via python3 scripts/generate_hero.py --topic "<new title>" --tags "<tags>" --out <folder>.
Re-render: run python3 scripts/blog_render.py --md <slug>.md --out-dir <folder> to refresh the .html and .pdf from the updated .md.
Reviewer dispatch: dispatch the blog-reviewer agent against the rendered .html. Threshold: score 90/100 or higher AND zero P0 issues.
Preflight: run python3 scripts/blog_preflight.py --draft <folder> --strict. Exit 0 = ship; exit 1 = block.
Iterate on failure: maximum 3 iterations. After the 3rd failure, STOP and present the diagnostic from <folder>/preflight-report.json.

Rewrites have a higher implicit threshold because the existing draft was presumably already published. Re-presenting something worse than the original is not acceptable. If the rewritten score is lower than the original score, that itself is a P0 condition.

Update Mode

When invoked as /blog update <file>, focus on freshness: 1. Update statistics to latest available data (2025-2026) 2. Add new developments since last update 3. Refresh images if older than 1 year 4. Update lastUpdated in frontmatter 5. Preserve the existing structure - minimize rewrites 6. Target: genuine freshness only. Replace stale statistics, add real new developments, and update lastUpdated/dateModified; do not rewrite to hit a percentage-change threshold.