RRepoGEO

REPOGEO REPORT · LITE

shyamsn97/mario-gpt

Default branch main · commit e62bb2b0 · scanned 5/19/2026, 10:52:13 AM

GitHub: 1,145 stars · 105 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
28 /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
2 / 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 shyamsn97/mario-gpt, 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
  • hightopics#1
    Add relevant topics to the repository

    Why:

    COPY-PASTE FIX
    game-development, procedural-generation, llm, gpt2, mario, text-to-level, ai-in-games, neurips-2023
  • highreadme#2
    Add a concise, problem-solution statement to the README's opening

    Why:

    CURRENT
    MarioGPT is a finetuned GPT2 model (specifically, distilgpt2), that is trained on a subset Super Mario Bros and Super Mario Bros: The Lost Levels levels, provided by The Video Game Level Corpus. MarioGPT is able to generate levels, guided by a simple text prompt.
    COPY-PASTE FIX
    MarioGPT is a pioneering framework for generating Super Mario Bros. levels directly from natural language prompts, leveraging a fine-tuned GPT2 model. It offers a unique approach to AI-driven procedural content generation, specifically for game environments.
  • mediumreadme#3
    Explicitly state the core differentiator in the README

    Why:

    COPY-PASTE FIX
    Unlike traditional procedural generation methods or generic LLMs, MarioGPT specifically enables open-ended, text-guided generation of game levels, offering fine-grained control over environment design. This makes it ideal for researchers and developers exploring novel approaches to AI-driven content creation.

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 shyamsn97/mario-gpt
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
OpenAI GPT-4 / GPT-3.5 Turbo
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. OpenAI GPT-4 / GPT-3.5 Turbo · recommended 1×
  2. Anthropic Claude 3 (Opus/Sonnet/Haiku) · recommended 1×
  3. Google Gemini (Advanced/Pro) · recommended 1×
  4. LangChain · recommended 1×
  5. LlamaIndex · recommended 1×
  • CATEGORY QUERY
    How can I procedurally generate game levels using large language models?
    you: not recommended
    AI recommended (in order):
    1. OpenAI GPT-4 / GPT-3.5 Turbo
    2. Anthropic Claude 3 (Opus/Sonnet/Haiku)
    3. Google Gemini (Advanced/Pro)
    4. LangChain
    5. LlamaIndex
    6. OpenAI API
    7. Hugging Face Transformers
    8. Wave Function Collapse (WFC)
    9. mxgmn's implementation
    10. pyWFC
    11. RogueBasin algorithms
    12. tcod
    13. L-systems
    14. Unity
    15. Unreal Engine
    16. Godot

    AI recommended 16 alternatives but never named shyamsn97/mario-gpt. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What tools exist for AI-driven game environment generation from text prompts?
    you: not recommended
    AI recommended (in order):
    1. Blockade Labs Skybox AI
    2. Midjourney
    3. DALL-E 3
    4. ChatGPT Plus
    5. Copilot Pro
    6. Stable Diffusion
    7. ControlNet
    8. DreamBooth
    9. Luma AI (Genie)
    10. Scenario.gg
    11. Plask
    12. RunwayML (Gen-1/Gen-2)

    AI recommended 12 alternatives but never named shyamsn97/mario-gpt. 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 shyamsn97/mario-gpt?
    pass
    AI named shyamsn97/mario-gpt explicitly

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

  • If a team adopts shyamsn97/mario-gpt in production, what risks or prerequisites should they evaluate first?
    pass
    AI named shyamsn97/mario-gpt 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 shyamsn97/mario-gpt solve, and who is the primary audience?
    pass
    AI did not name shyamsn97/mario-gpt — 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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shyamsn97/mario-gpt — Lite scans stay free; this card itemizes Pro deep limits vs Lite.

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  • Brand-free category queries5 vs 2 in Lite
  • Prioritized action items8 vs 3 in Lite
shyamsn97/mario-gpt — RepoGEO report