RRepoGEO

REPOGEO REPORT · LITE

dusty-nv/jetson-containers

Default branch master · commit 6ec74990 · scanned 5/9/2026, 10:53:07 AM

GitHub: 4,642 stars · 826 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 dusty-nv/jetson-containers, 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 pre-built, optimized Docker images

    Why:

    CURRENT
    Modular container build system that provides the latest AI/ML packages for NVIDIA Jetson :rocket::robot:
    COPY-PASTE FIX
    Pre-built, optimized Docker containers for NVIDIA Jetson, simplifying the deployment of cutting-edge AI/ML packages for edge AI and robotics.
  • mediumhomepage#2
    Add project homepage to repository metadata

    Why:

    COPY-PASTE FIX
    https://www.jetson-ai-lab.com
  • mediumlicense#3
    Clarify existing license(s) directly in the README

    Why:

    COPY-PASTE FIX
    Add a section or line in the README, for example under a 'License' heading, explicitly stating the license(s) that apply to the project.

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 dusty-nv/jetson-containers
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
NVIDIA JetPack SDK
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. NVIDIA JetPack SDK · recommended 1×
  2. NVIDIA TensorRT · recommended 1×
  3. NVIDIA DeepStream SDK · recommended 1×
  4. OpenVINO Toolkit · recommended 1×
  5. PyTorch Mobile · recommended 1×
  • CATEGORY QUERY
    How to easily deploy machine learning models on NVIDIA edge computing devices?
    you: not recommended
    AI recommended (in order):
    1. NVIDIA JetPack SDK
    2. NVIDIA TensorRT
    3. NVIDIA DeepStream SDK
    4. OpenVINO Toolkit
    5. PyTorch Mobile
    6. TensorFlow Lite
    7. AWS IoT Greengrass
    8. Azure IoT Edge

    AI recommended 8 alternatives but never named dusty-nv/jetson-containers. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Need pre-built Docker images for PyTorch and TensorFlow on embedded AI hardware.
    you: not recommended
    AI recommended (in order):
    1. NVIDIA NGC
    2. Balena.io
    3. Arm Developer Resources
    4. Linaro
    5. Google Coral
    6. Docker Hub
    7. OpenVINO

    AI recommended 7 alternatives but never named dusty-nv/jetson-containers. 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 dusty-nv/jetson-containers?
    pass
    AI named dusty-nv/jetson-containers explicitly

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

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

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

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dusty-nv/jetson-containers — RepoGEO report