RRepoGEO

REPOGEO REPORT · LITE

Hello-SimpleAI/chatgpt-comparison-detection

Default branch main · commit 1f8c15c2 · scanned 5/22/2026, 3:58:09 PM

GitHub: 1,352 stars · 124 forks

Scan history for this repo

Score trend below includes all ready runs (older left, newer right; scroll horizontally if needed). The table is collapsed by default—expand for newest-first rows, 10 per page.

Score trend (left → right: older → newer)

2 ready scans. Expand the table below for newest-first rows (10 per page, paginated).

AI VISIBILITY SCORE
22 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
1 pass · 1 warn · 0 fail
Objective metadata checks
AI knows your name
1 / 3
Direct prompts that named your repo
HOW TO READ THIS REPORT

Action plan is what to do next — copy-pasteable changes prioritized by impact. Category visibility is the real GEO test: when a user asks an AI a brand-free question that should surface Hello-SimpleAI/chatgpt-comparison-detection, does the AI actually recommend you — or your competitors? Objective checks verify the metadata signals AI engines weight first. Self-mention check detects whether AI even knows you exist by name.

Action plan — copy-paste fixes

3 prioritized changes generated by gemini-2.5-flash. Mark items done after you ship the fix.

OVERALL DIRECTION
  • highreadme#1
    Reposition the README's opening to lead with detection capabilities

    Why:

    CURRENT
    # ChatGPT-Comparison-Detection Project 🔬
    
    Official repository of paper "How Close is ChatGPT to Human Experts? Comparison Corpus, Evaluation, and Detection". Please star, watch, and fork our repo for the active updates!
    COPY-PASTE FIX
    # ChatGPT-Comparison-Detection Project 🔬: AI-Generated Text Detection & Human-ChatGPT Comparison Corpus (HC3)
    
    This repository provides state-of-the-art detectors for distinguishing human-written text from AI-generated content, alongside the foundational Human ChatGPT Comparison Corpus (HC3). It is the official implementation for the paper "How Close is ChatGPT to Human Experts? Comparison Corpus, Evaluation, and Detection".
  • highlicense#2
    Add a LICENSE file to the repository

    Why:

    COPY-PASTE FIX
    Create a LICENSE file in the repository root with the Apache-2.0 license text.
  • mediumabout#3
    Refine the 'About' description to emphasize detection first

    Why:

    CURRENT
    Human ChatGPT Comparison Corpus (HC3), Detectors, and more! 🔥
    COPY-PASTE FIX
    Detectors for AI-generated text, including the Human ChatGPT Comparison Corpus (HC3) for evaluation and training. 🔥

Category GEO backends resolved for this scan: google/gemini-2.5-flash, deepseek/deepseek-v4-flash

Category visibility — the real GEO test

Brand-free queries asked to google/gemini-2.5-flash. Did AI recommend you, or someone else?

Same questions for every model — switch tabs to compare answers and rankings.

Recall
0 / 2
0% of queries surface Hello-SimpleAI/chatgpt-comparison-detection
Avg rank
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
GPTZero
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. GPTZero · recommended 1×
  2. Originality.ai · recommended 1×
  3. Turnitin · recommended 1×
  4. Copyleaks AI Content Detector · recommended 1×
  5. Writer.com AI Content Detector · recommended 1×
  • CATEGORY QUERY
    Need a tool to determine if text was generated by an AI chatbot or a human.
    you: not recommended
    AI recommended (in order):
    1. GPTZero
    2. Originality.ai
    3. Turnitin
    4. Copyleaks AI Content Detector
    5. Writer.com AI Content Detector
    6. Crossplag AI Content Detector

    AI recommended 6 alternatives but never named Hello-SimpleAI/chatgpt-comparison-detection. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Looking for a dataset to evaluate and train models for AI-generated text classification.
    you: not recommended
    AI recommended (in order):
    1. HC3
    2. M4
    3. GLTR
    4. FakeNewsNet
    5. CoNLL-2003
    6. IMDB Movie Review Dataset

    AI recommended 6 alternatives but never named Hello-SimpleAI/chatgpt-comparison-detection. This is the gap to close.

    Show full AI answer

Objective checks

Rule-based audits of metadata signals AI engines weight most.

  • Metadata completeness
    warn

    Suggestion:

  • README presence
    pass

Self-mention check

Does AI even know your repo exists when asked about it directly?

  • Compared to common alternatives in this category, what is the core differentiator of Hello-SimpleAI/chatgpt-comparison-detection?
    pass
    AI did not name Hello-SimpleAI/chatgpt-comparison-detection — likely talking about a different project

    AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

  • If a team adopts Hello-SimpleAI/chatgpt-comparison-detection in production, what risks or prerequisites should they evaluate first?
    pass
    AI named Hello-SimpleAI/chatgpt-comparison-detection explicitly

    AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

  • In one sentence, what problem does the repo Hello-SimpleAI/chatgpt-comparison-detection solve, and who is the primary audience?
    pass
    AI did not name Hello-SimpleAI/chatgpt-comparison-detection — likely talking about a different project

    AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

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Hello-SimpleAI/chatgpt-comparison-detection — Lite scans stay free; this card itemizes Pro deep limits vs Lite.

  • Deep reports10 / month
  • Brand-free category queries5 vs 2 in Lite
  • Prioritized action items8 vs 3 in Lite