How to Detect AI Writing: Methods, Tools & Technical Metrics - Geostar

Quick Detection Guide

Spot AI-generated text in seconds

Visual Scan

Phrase Check

Find 2+ of these = likely AI

Burstiness

  1. Count words in 5 random sentences
  2. Calculate: μ (average) and σ (std dev)
  3. Formula: B = (σ / μ) × 100

B < 30 = Likely AI

Example: 24, 23, 26, 25, 24 → B = 4.7

B > 50 = Likely Human

Example: 8, 34, 12, 41, 15 → B = 66.6

20-Second Structure Test

Opening
"In today's rapidly evolving..." = AI

Body
Every paragraph same length? = AI

Lists
Groups of exactly 3 items? = AI

Closing
"What are your thoughts?" = AI

Rhythm
Metronome vs Jazz? Metronome = AI

Sentences
All 20-30 words? = AI

AI Detection Hierarchy

Confidence levels for identifying AI-generated text

Tier 1: Immediate Red Flags

90-99% AI probability

Tier 2: Strong Indicators

70-90% AI probability

Tier 3: Moderate Indicators

40-60% AI probability

AI Detection Tools Comparison

Performance metrics for popular AI text detection tools

Tool Accuracy False Positive Speed Cost Notes
Binoculars 99% 1% Medium Free Best accuracy
Copyleaks 94.9% 5.52% Fast $$$ High accuracy
Originality.ai 92.5% 4.79% Fast $$$ Combines metrics
GPTZero 89.8% 5.12% Fast $$ Threshold >85 for human
Turnitin 79% 2.5% Slow $$$$ Educational standard
ZeroGPT 68.5% 21% Fast $ High false positive

How to Defeat Detection

✓ What Works

✗ What Fails

Technical Detection Metrics

Burstiness Formula

Measures sentence length variation, the most reliable structural tell

Formula

B = (σ / μ) × 100

σ = Standard deviation

μ = Mean sentence length

B = Burstiness score

AI Pattern

B = 4.7

Sentences: 24, 23, 26, 25, 24 words

Average: 24.4

Std Dev: 1.14

Low variation = metronome rhythm = AI

Human Pattern

B = 66.6

Sentences: 8, 34, 12, 41, 15 words

Average: 22

Std Dev: 14.66

High variation = jazz rhythm = Human

Threshold: B < 30

Uniform sentence lengths indicate AI generation. Low burstiness reveals algorithmic consistency.

Threshold: B > 50

Natural variation in sentence length indicates human authorship. High burstiness reflects cognitive rhythm.

Perplexity Score Analysis

How "surprised" a language model is by word choices

Score 5-10

Extremely Predictable

AI-generated (GPT-4, Claude, Gemini)

Score 10-20

Very Predictable

Heavily edited or templated writing

Score 20-50

Normal Variation

Human writing

Score 50+

Unexpected/Creative

Literary fiction, poetry, technical jargon

Why AI scores low: Large language models generate the most probable next token. Predictability is the core mechanism. Detection tools like GPTZero use threshold >85 for likely human authorship.