phy-content-humanizer-audit — AI Content Signature Detector#

LinkedIn's 360Brew algorithm penalizes AI-detected content with 30% less reach and 55% less engagement. This tool tells you exactly which linguistic signals are triggering detection — so you fix only what's wrong instead of rewriting everything.

Not a humanizer. An auditor.

The Problem#

You draft a LinkedIn post (maybe with AI help), publish it, and reach tanks. Why?

LinkedIn's 360Brew uses an LLM to evaluate:

• Lexical diversity — AI repeats vocabulary patterns
• Sentence rhythm — AI maintains unnaturally consistent sentence lengths
• Transition words — AI overuses "Furthermore", "Moreover", "Additionally"
• Hedging language — AI says "arguably" and "it seems" instead of stating opinions
• Formality — AI avoids contractions ("do not" instead of "don't")
• Impersonality — AI rarely uses first-person pronouns
• No questions — AI makes statements, doesn't ask
• Vagueness — AI uses abstract language with no specific data

This tool measures all 8 dimensions, scores each 0-10, and tells you your AI Signature % — the probability a platform algorithm will flag your content as AI-generated.

Quick Start#

bash

# Audit a LinkedIn post draft
echo "Your post text here" | python3 ~/.claude/skills/phy-content-humanizer-audit/scripts/content_humanizer_audit.py --platform linkedin

# Audit from file
python3 ~/.claude/skills/phy-content-humanizer-audit/scripts/content_humanizer_audit.py --file draft.txt --platform reddit

# Inline text
python3 ~/.claude/skills/phy-content-humanizer-audit/scripts/content_humanizer_audit.py --text "My post..." --platform twitter

# JSON output (for pipelines)
python3 ~/.claude/skills/phy-content-humanizer-audit/scripts/content_humanizer_audit.py --file draft.txt --format json

The 8 Dimensions#

#DimensionWhat It MeasuresHuman SignalAI Signal1Lexical Diversity (TTR)Vocabulary variety (type-token ratio)TTR 0.55-0.80TTR 0.35-0.552Sentence Length VarianceMix of short/long sentences (coefficient of variation)CV > 0.4CV < 0.33Transition Word Density"Furthermore", "Moreover" per 100 words< 1.5/100w> 3.0/100w4Hedging Ratio"arguably", "it seems" per 100 words< 1.0/100w> 2.0/100w5Contraction Usage"don't", "I've", "it's" per 100 words> 1.5/100w< 0.5/100w6Personal Pronoun Density"I", "my", "we" per 100 words> 3.0/100w< 1.5/100w7Question Frequency% of sentences that are questions10-25%0-5%8Specific Data DensityNumbers, dates, names per 100 words> 2.0/100w< 1.0/100w

Each dimension scores 0-10 (10 = very human). Total /80, mapped to an AI Signature %.

Platform Thresholds#

PlatformWARN aboveFAIL aboveWhyLinkedIn45%65%360Brew LLM actively detects AI. Strictest.HackerNews50%70%Technical audience spots AI quickly.Reddit55%75%Community policing + mod tools. Moderate.Twitter/X60%80%Short form = less surface for detection.

AI-Flagged Word List#

The tool flags 37 words that are strong AI signals on social media:

leverage, robust, crucial, delve, tapestry, holistic, synergy, paradigm, ecosystem, landscape, streamline, cutting-edge, game-changer, innovative, revolutionary, transformative, comprehensive, meticulous, nuanced, multifaceted, pivotal, seamless, foster, utilize, facilitate, endeavor, underscore, realm, navigate, embark, spearhead, harness, unveil, bolster, cornerstone, unparalleled, groundbreaking

Each found word adds 3% to your AI signature score.

Example Output#

Human-written post (PASS)#

text

==================================================================
  phy-content-humanizer-audit — AI Signature Report
==================================================================
  Platform : Linkedin
  Words    : 183
  AI Sig   : 10.5% ✅ PASS
  Human    : 74.0/80.0
  Threshold: WARN >45%, FAIL >65%
==================================================================

📊  Dimension Scores (0-10, higher = more human)

  Lexical Diversity (TTR)      ██████████ 10.0/10
  Sentence Length Variance     ██████████ 10.0/10
  Transition Word Density      ██████████ 10.0/10
  Hedging Ratio                ██████████ 10.0/10
  Contraction Usage            ██████████ 10.0/10
  Personal Pronoun Density     █████░░░░░  5.5/10
  Question Frequency           ████████░░  8.5/10
  Specific Data Density        ██████████ 10.0/10

AI-generated post (FAIL)#

text

==================================================================
  Platform : Linkedin
  AI Sig   : 100% 🔴 FAIL
  Human    : 22.0/80.0
==================================================================

  Transition Word Density      ██░░░░░░░░  2.6/10   (3.4/100w)
  Hedging Ratio                █░░░░░░░░░  1.1/10   (3.4/100w)
  Contraction Usage            ░░░░░░░░░░  0.0/10   (0.0/100w)
  Question Frequency           █░░░░░░░░░  1.0/10   (0%)
  Specific Data Density        ░░░░░░░░░░  0.0/10   (0.0/100w)

  🚫 14 AI-flagged words: comprehensive, crucial, cutting-edge,
     ecosystem, facilitate, harness, holistic, innovative, landscape,
     navigate, paradigm, revolutionary, robust, transformative

How to Use the Fixes#

The tool outputs your top 3 fixes ranked by impact:

text

💡  Top 3 Fixes to Lower AI Signature:

  1. Add contractions: change 'do not' → 'don't', 'I have' → 'I've'
  2. Add specific data: include a number, date, or tool name
  3. Remove AI words: comprehensive, crucial — replace with plain terms

Fix just those 3 things and re-run. Usually drops AI signature by 20-30%.

CI / Pre-publish Gate#

bash

# Fail if AI signature > 65% (LinkedIn threshold)
echo "$POST_TEXT" | python3 content_humanizer_audit.py --platform linkedin
# Exit code: 0=PASS, 1=WARN, 2=FAIL

Research Basis#

SourceKey FindingHow We Use ItDivEye (arXiv:2509.18880)Human text has richer variability in lexical/structural unpredictabilityTTR + sentence variance scoringLinkedIn 360Brew (2026)LLM-based feed ranking detects AI via lexical patterns, profile alignmentPlatform-specific thresholdsStylometric detection studiesAI shows lower sentence length variance, higher transition density8-dimension frameworkLinkedIn algorithm data30% reach drop, 55% engagement drop for AI contentWARN/FAIL calibrationConsumer research52% reduce engagement with suspected AI contentMotivation for the tool

Technical Notes#

• Zero external dependencies — pure Python 3.7+ stdlib
• Sentence splitting — regex-based, handles abbreviations
• Windowed TTR — sliding window of 100 tokens to normalize for text length
• Exit codes — 0 (PASS), 1 (WARN), 2 (FAIL) for CI integration
• JSON output — --format json for pipeline integration

Companion Skills#

SkillRelationshipphy-brand-voice-guardBrand-specific content rules (this tool = platform-universal AI detection)phy-post-forensicsAnalyzes why posts worked/failed (this tool = pre-publish prevention)phy-platform-rules-enginePlatform-specific invisible rules (this tool = AI signature specifically)

---

Author#

Canlah AI — Run performance marketing without breaking your brand.

• GitHub: github.com/PHY041
• All Skills: clawhub.ai/PHY041