RRepoGEO

REPOGEO REPORT · LITE

minimaxir/gpt-2-simple

Default branch master · commit 91d11ed8 · scanned 5/11/2026, 5:27:39 PM

GitHub: 3,403 stars · 670 forks

AI VISIBILITY SCORE
35 /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
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 minimaxir/gpt-2-simple, 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 README to clarify gpt-2-simple's current value proposition

    Why:

    CURRENT
    Note: Development on gpt-2-simple has mostly been superceded by aitextgen, which has similar AI text generation capabilities with more efficient training time and resource usage. If you do not require using TensorFlow, I recommend using aitextgen instead. Checkpoints trained using gpt-2-simple can be loaded using aitextgen as well.
    COPY-PASTE FIX
    While development on `gpt-2-simple` has largely been superseded by `aitextgen` (which offers more efficient training and resource usage for general AI text generation), `gpt-2-simple` remains valuable for specific use cases: working with existing GPT-2 checkpoints, projects requiring TensorFlow, or educational exploration of the original GPT-2 model architecture. Checkpoints trained using `gpt-2-simple` are fully compatible with `aitextgen`.
  • mediumhomepage#2
    Add a homepage URL to the repository About section

    Why:

    COPY-PASTE FIX
    https://minimaxir.com/gpt-2-simple/ (or your preferred project page/documentation link)
  • mediumlicense#3
    Clarify the project's license in the README

    Why:

    COPY-PASTE FIX
    This project is licensed under [SPECIFY LICENSE(S) HERE, e.g., MIT License]. See the `LICENSE` file for full details. Components are incorporated under their respective MIT Licenses as noted.

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 minimaxir/gpt-2-simple
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Hugging Face Transformers
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. Hugging Face Transformers · recommended 2×
  2. OpenAI API · recommended 2×
  3. PyTorch · recommended 2×
  4. TensorFlow/Keras · recommended 1×
  5. Ludwig · recommended 1×
  • CATEGORY QUERY
    How can I fine-tune a pre-trained text generation model with my own dataset?
    you: not recommended
    AI recommended (in order):
    1. Hugging Face Transformers
    2. OpenAI API
    3. PyTorch
    4. TensorFlow/Keras
    5. Ludwig
    6. Lit-GPT

    AI recommended 6 alternatives but never named minimaxir/gpt-2-simple. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What are simple Python tools for generating custom text using deep learning models?
    you: not recommended
    AI recommended (in order):
    1. Hugging Face Transformers
    2. OpenAI API
    3. Keras
    4. PyTorch
    5. textgenrnn

    AI recommended 5 alternatives but never named minimaxir/gpt-2-simple. 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 minimaxir/gpt-2-simple?
    pass
    AI named minimaxir/gpt-2-simple explicitly

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

  • If a team adopts minimaxir/gpt-2-simple in production, what risks or prerequisites should they evaluate first?
    pass
    AI named minimaxir/gpt-2-simple 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 minimaxir/gpt-2-simple solve, and who is the primary audience?
    pass
    AI named minimaxir/gpt-2-simple explicitly

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

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  • Brand-free category queries5 vs 2 in Lite
  • Prioritized action items8 vs 3 in Lite