RRepoGEO

REPOGEO REPORT · LITE

dusty-nv/jetson-containers

Default branch master · commit dd206bfe · scanned 6/19/2026, 6:08:02 AM

GitHub: 4,736 stars · 835 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
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's H1 and opening sentence to highlight "Jetson-specific container system"

    Why:

    CURRENT
    # CUDA Containers for Edge AI & Robotics
    COPY-PASTE FIX
    # NVIDIA Jetson Containers: Optimized & Pre-built AI/ML Container System for Edge Devices
  • highhomepage#2
    Add a homepage URL to the repository's About section

    Why:

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

    Why:

    COPY-PASTE FIX
    Add a section or line in the README, e.g., 'This project is licensed under [License Name(s) from LICENSE file]. Please refer to the [LICENSE](LICENSE) file for full details.'

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 TensorRT
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. NVIDIA TensorRT · recommended 1×
  2. ONNX Runtime · recommended 1×
  3. TorchScript · recommended 1×
  4. TensorFlow Lite (TFLite) · recommended 1×
  5. DeepStream SDK · recommended 1×
  • CATEGORY QUERY
    How to deploy machine learning models efficiently on NVIDIA Jetson edge devices?
    you: not recommended
    AI recommended (in order):
    1. NVIDIA TensorRT
    2. ONNX Runtime
    3. TorchScript
    4. TensorFlow Lite (TFLite)
    5. DeepStream SDK
    6. Edge Impulse
    7. OpenVINO

    AI recommended 7 alternatives but never named dusty-nv/jetson-containers. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Need pre-built Docker containers for PyTorch and TensorFlow on embedded AI platforms.
    you: not recommended
    AI recommended (in order):
    1. NVIDIA NGC
    2. Balena.io
    3. Docker Hub
    4. Arm Developer Resources

    AI recommended 4 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 — 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