RRepoGEO

REPOGEO REPORT · LITE

unitaryai/detoxify

Default branch master · commit d5376446 · scanned 5/24/2026, 10:26:50 AM

GitHub: 1,246 stars · 143 forks

AI VISIBILITY SCORE
40 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
2 pass · 0 warn · 0 fail
Objective metadata checks
AI knows your name
3 / 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 unitaryai/detoxify, 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 H1 and H2 to clarify its role as a Python library with pre-trained models.

    Why:

    CURRENT
    # 🙊 Detoxify
    ## Toxic Comment Classification with ⚡ Pytorch Lightning and 🤗 Transformers
    COPY-PASTE FIX
    # 🙊 Detoxify: A Python Library for Toxic Comment Classification
    ## Ready-to-use, pre-trained models for detecting toxicity, hate speech, and identity attacks in text.
  • mediumreadme#2
    Add an introductory sentence to the README emphasizing its local and open-source nature.

    Why:

    COPY-PASTE FIX
    Detoxify is a simple, local, and open-source Python library providing ready-to-use, pre-trained models for robust toxic comment classification.
  • lowreadme#3
    Add a 'Why Detoxify?' section to explicitly state its core differentiators.

    Why:

    COPY-PASTE FIX
    ## Why Detoxify?
    
    Detoxify stands out by providing ready-to-use, pre-trained models for text toxicity classification. Specifically fine-tuned on the Jigsaw Unintended Bias in Toxicity Classification dataset, it's packaged as a simple, local, open-source Python library, offering a robust solution for content moderation and safety features.

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 unitaryai/detoxify
Avg rank
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Google Cloud Perspective API
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. Google Cloud Perspective API · recommended 1×
  2. OpenAI Moderation API · recommended 1×
  3. Amazon Rekognition · recommended 1×
  4. Hugging Face Transformers · recommended 1×
  5. Microsoft Azure Content Moderator · recommended 1×
  • CATEGORY QUERY
    Need a tool to automatically classify and moderate toxic language in user comments.
    you: not recommended
    AI recommended (in order):
    1. Google Cloud Perspective API
    2. OpenAI Moderation API
    3. Amazon Rekognition
    4. Hugging Face Transformers
    5. Microsoft Azure Content Moderator
    6. Body
    7. Sightengine

    AI recommended 7 alternatives but never named unitaryai/detoxify. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Seeking a robust machine learning model for detecting hate speech in text data.
    you: not recommended
    AI recommended (in order):
    1. BERT
    2. HateBERT
    3. RoBERTa
    4. XLM-RoBERTa
    5. DistilBERT
    6. FastText
    7. Logistic Regression
    8. TF-IDF
    9. Word2Vec
    10. GloVe

    AI recommended 10 alternatives but never named unitaryai/detoxify. This is the gap to close.

    Show full AI answer

Objective checks

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

  • Metadata completeness
    pass

  • 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 unitaryai/detoxify?
    pass
    AI named unitaryai/detoxify explicitly

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

  • If a team adopts unitaryai/detoxify in production, what risks or prerequisites should they evaluate first?
    pass
    AI named unitaryai/detoxify 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 unitaryai/detoxify solve, and who is the primary audience?
    pass
    AI named unitaryai/detoxify explicitly

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

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unitaryai/detoxify — 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