Blog Voice Analyzer
Detect AI signatures in blog posts and get human-sounding rewrite suggestions
What You Can Do
Run 18 independent NLP checks on your blog articles to detect AI-sounding patterns across sentence structure, vocabulary, tone, and content quality. The analyzer scores your writing 0-100 (higher = more human), identifies specific problems like excessive hedging or repetitive sentence openers, and provides actionable rewrite suggestions before you publish. Ensure your content avoids Google's helpful content signals and reads genuinely human.
Features
detects uniform sentence length, repetitive openers, and shallow clause variety that signal AI writing
flags excessive hedging phrases, overused transitions, and vague language patterns common in AI content
analyzes formality shifts, passive voice density, and emotional word usage to ensure authentic voice
identifies filler patterns, unsupported claims, and lack of concrete examples typical of AI articles
combines 18 checks into an overall 0-100 human-ness score with category breakdowns
pinpoints exact sentences and phrases to revise with reasoning tied to AI signature detection
accepts blog articles in markdown, plain text, or HTML and strips formatting automatically
Example Output
Input: Blog post about digital marketing trends (1,200 words)
Output:
Overall Human-ness Score: 62/100
Structural Patterns: 58/100
- ⚠️ Sentence openers too uniform — 45% start with "The" or "This"
- ⚠️ Paragraph lengths clustered around 80-100 words (low variation)
✓ Good sentence length variety (std dev: 7.2)
Vocabulary & Word Choice: 71/100
- ⚠️ Excessive hedging: "arguably," "tends to," "may suggest" appear 12 times
✓ Strong concrete examples (8 specific case studies cited)
Tone & Voice: 55/100
- ⚠️ High passive voice density (38% of sentences)
- ⚠️ No contractions or colloquialisms detected
Suggested Rewrites:
1. "The digital marketing landscape is arguably undergoing significant transformation." → "Digital marketing is changing fast—here's why."
2. "One might suggest that AI-driven personalization tends to improve conversion rates." → "AI-driven personalization boosts conversions. Here's proof from our testing."
What's Included
- SKILL.md instruction file with quick-start commands:
- AI voice analyzer Python script (blog/ai_voice_analyzer.py) with 18 NLP checks:
- Rewrite suggestion templates organized by violation type:
- Scoring rubric and thresholds for interpreting results:
- Example blog posts with before/after analysis samples:
Who It's For
- Content Marketing Managers — audit blog portfolios before publication to ensure human authenticity and avoid algorithmic penalties
- SEO Specialists — verify content aligns with Google's helpful content guidelines and E-E-A-T signals
- Freelance Writers — self-review articles to maintain authentic voice and competitiveness against AI-generated competition
- In-house Blog Teams — establish quality gates for content approval and maintain consistent voice across publications
- Agencies — provide client reports showing human-ness scores and improvement metrics before deployment
Best For
- Blog article audits — scan existing published content for AI signatures before they trigger algorithmic reviews
- Pre-publication reviews — analyze drafts before they go live to catch and fix AI-sounding patterns
- Voice consistency checks — ensure multi-author blogs maintain cohesive human tone across contributors
- AI content remediation — improve previously AI-generated or hybrid content to read genuinely human
- Competitive analysis — benchmark your content human-ness against competitor articles
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