RRepoGEO

REPOGEO REPORT · LITE

minosvasilias/godot-dodo

Default branch main · commit 39159d36 · scanned 6/3/2026, 7:48:24 PM

GitHub: 569 stars · 26 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 minosvasilias/godot-dodo, 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 H1 and opening paragraph for clarity

    Why:

    CURRENT
    # godot-dodo
    
    The godot-dodo project presents a pipeline to finetune open source language models on human-created, language-specific code retrieved from GitHub.
    COPY-PASTE FIX
    # godot-dodo: A Pipeline for Finetuning LLMs to Generate GDScript
    
    This repository provides a comprehensive pipeline for finetuning open-source large language models (LLMs) specifically for generating high-quality GDScript code, targeting Godot game development.
  • highhomepage#2
    Add a homepage URL to the repository metadata

    Why:

    COPY-PASTE FIX
    https://github.com/minosvasilias/godot-dodo (or your project's dedicated website if one exists)
  • mediumtopics#3
    Expand repository topics for better category visibility

    Why:

    CURRENT
    ai, finetuning, gdscript, godot, llama
    COPY-PASTE FIX
    ai, finetuning, gdscript, godot, llama, large-language-models, code-generation, machine-learning, deep-learning, nlp

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 minosvasilias/godot-dodo
Avg rank
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
mistralai/mistral-src
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. mistralai/mistral-src · recommended 2×
  2. GitHub Copilot · recommended 1×
  3. ChatGPT · recommended 1×
  4. Blackbox AI · recommended 1×
  5. Tabnine · recommended 1×
  • CATEGORY QUERY
    Need an AI tool to generate accurate GDScript for Godot game development.
    you: not recommended
    AI recommended (in order):
    1. GitHub Copilot
    2. ChatGPT
    3. Blackbox AI
    4. Tabnine
    5. Google Gemini

    AI recommended 5 alternatives but never named minosvasilias/godot-dodo. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    How to finetune a large language model for specific game scripting languages?
    you: not recommended
    AI recommended (in order):
    1. Beautiful Soup (beautifulsoup4/beautifulsoup4)
    2. Scrapy (scrapy/scrapy)
    3. Git (git/git)
    4. GitHub API
    5. Python re module
    6. Pandas (pandas-dev/pandas)
    7. Code Llama (meta-llama/llama-models)
    8. Mistral 7B (mistralai/mistral-src)
    9. Mixtral 8x7B (mistralai/mistral-src)
    10. StarCoder2 (bigcode-project/starcoder2)
    11. DeepSeek-Coder (deepseek-ai/DeepSeek-Coder)
    12. GPT-3.5
    13. GPT-4
    14. Hugging Face Transformers (huggingface/transformers)
    15. PEFT Library (huggingface/peft)
    16. bitsandbytes (TimDettmers/bitsandbytes)
    17. PyTorch (pytorch/pytorch)
    18. TensorFlow (tensorflow/tensorflow)
    19. Google Colab Pro
    20. Google Colab Pro+
    21. AWS EC2
    22. Google Cloud Platform (GCP)
    23. Azure Machine Learning
    24. Hugging Face `evaluate` library (huggingface/evaluate)
    25. Pytest (pytest-dev/pytest)
    26. NUnit (nunit/nunit)
    27. Jest (jestjs/jest)
    28. Hugging Face Inference Endpoints
    29. TGI (Text Generation Inference) (huggingface/text-generation-inference)
    30. ONNX Runtime (microsoft/onnxruntime)
    31. TorchScript

    AI recommended 31 alternatives but never named minosvasilias/godot-dodo. 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 minosvasilias/godot-dodo?
    pass
    AI named minosvasilias/godot-dodo explicitly

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

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

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

Embed your GEO score

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minosvasilias/godot-dodo — 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