RRepoGEO

REPOGEO REPORT · LITE

NVIDIA/Isaac-GR00T

Default branch main · commit e5749287 · scanned 6/20/2026, 3:21:53 AM

GitHub: 7,383 stars · 1,270 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 NVIDIA/Isaac-GR00T, 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 improve categorization

    Why:

    COPY-PASTE FIX
    ["robotics", "foundation-model", "generalist-robot", "ai", "deep-learning", "nvidia", "isaac", "humanoid-robot", "robot-learning", "embodied-ai"]
  • highreadme#2
    Add a concise, prominent positioning statement at the top of the README

    Why:

    CURRENT
    <div align="center">
    COPY-PASTE FIX
    NVIDIA Isaac GR00T is a cutting-edge foundation model designed to empower generalist robots with advanced intelligence, enabling them to learn and perform complex, adaptable skills across diverse environments.

<div align="center">
  • mediumcomparison#3
    Add a 'Comparison to Alternatives' section in the README

    Why:

    COPY-PASTE FIX
    ## Comparison to Alternatives

This section should detail how NVIDIA Isaac GR00T differentiates itself from other foundation models for robotics (e.g., PaLM-E, RT-1, Gato) by focusing on generalist and humanoid robot capabilities, real-world adaptability, and integration within the NVIDIA Isaac ecosystem.

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 NVIDIA/Isaac-GR00T
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
GPT-4 / GPT-3.5
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. GPT-4 / GPT-3.5 · recommended 1×
  2. PaLM-E · recommended 1×
  3. RT-1 · recommended 1×
  4. ImageBind · recommended 1×
  5. Gato · recommended 1×
  • CATEGORY QUERY
    What foundation models are available for developing general-purpose robotic intelligence?
    you: not recommended
    AI recommended (in order):
    1. GPT-4 / GPT-3.5
    2. PaLM-E
    3. RT-1
    4. ImageBind
    5. Gato
    6. CLIP
    7. SayCan

    AI recommended 7 alternatives but never named NVIDIA/Isaac-GR00T. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    How to implement a versatile AI system for various robotic automation challenges?
    you: not recommended
    AI recommended (in order):
    1. ROS 2
    2. PyTorch
    3. TensorFlow
    4. OpenCV
    5. MoveIt
    6. Isaac Sim
    7. Gymnasium

    AI recommended 7 alternatives but never named NVIDIA/Isaac-GR00T. 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 NVIDIA/Isaac-GR00T?
    pass
    AI named NVIDIA/Isaac-GR00T explicitly

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

  • If a team adopts NVIDIA/Isaac-GR00T in production, what risks or prerequisites should they evaluate first?
    pass
    AI named NVIDIA/Isaac-GR00T 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 NVIDIA/Isaac-GR00T solve, and who is the primary audience?
    pass
    AI named NVIDIA/Isaac-GR00T explicitly

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

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MARKDOWN (README)
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NVIDIA/Isaac-GR00T — 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