RRepoGEO

REPOGEO REPORT · LITE

kevinhughes27/TensorKart

Default branch master · commit 455d2808 · scanned 5/28/2026, 1:28:25 AM

GitHub: 1,576 stars · 252 forks

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 kevinhughes27/TensorKart, 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 opening to highlight specific application

    Why:

    CURRENT
    TensorKart
self-driving MarioKart with TensorFlow
    COPY-PASTE FIX
    TensorKart is an open-source project demonstrating how deep learning, specifically using TensorFlow, can be applied to create a self-driving agent for the classic retro game, Mario Kart 64. This project focuses on imitation learning to train an AI to autonomously navigate tracks.
  • mediumtopics#2
    Add more specific topics to improve categorization

    Why:

    CURRENT
    machine-learning, tensorflow
    COPY-PASTE FIX
    machine-learning, tensorflow, game-ai, retro-gaming, mario-kart-64, imitation-learning, deep-learning
  • lowhomepage#3
    Add a homepage URL to the repository metadata

    Why:

    COPY-PASTE FIX
    https://github.com/kevinhughes27/TensorKart

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 kevinhughes27/TensorKart
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
OpenAI Gym
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. OpenAI Gym · recommended 1×
  2. Gym Retro · recommended 1×
  3. Stable Baselines3 · recommended 1×
  4. RLlib · recommended 1×
  5. Acme · recommended 1×
  • CATEGORY QUERY
    How can I train an AI to autonomously play retro racing video games?
    you: not recommended
    AI recommended (in order):
    1. OpenAI Gym
    2. Gym Retro
    3. Stable Baselines3
    4. RLlib
    5. Acme
    6. PyTorch Lightning
    7. TensorFlow Agents

    AI recommended 7 alternatives but never named kevinhughes27/TensorKart. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Looking for open source projects applying deep learning to game control.
    you: not recommended
    AI recommended (in order):
    1. OpenAI Gym / Gymnasium
    2. Stable Baselines3 (SB3)
    3. DeepMind Lab
    4. Unity ML-Agents Toolkit
    5. Minigrid
    6. ViZDoom
    7. Gym-Retro

    AI recommended 7 alternatives but never named kevinhughes27/TensorKart. 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 kevinhughes27/TensorKart?
    pass
    AI did not name kevinhughes27/TensorKart — 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 kevinhughes27/TensorKart in production, what risks or prerequisites should they evaluate first?
    pass
    AI named kevinhughes27/TensorKart 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 kevinhughes27/TensorKart solve, and who is the primary audience?
    pass
    AI named kevinhughes27/TensorKart 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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MARKDOWN (README)
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kevinhughes27/TensorKart — 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