RRepoGEO

REPOGEO REPORT · LITE

nvidia-cosmos/cosmos-reason1

Default branch main · commit b84a3fae · scanned 6/10/2026, 3:34:35 AM

GitHub: 949 stars · 83 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-cosmos/cosmos-reason1, 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

2 prioritized changes generated by gemini-2.5-flash. Mark items done after you ship the fix.

OVERALL DIRECTION
  • highreadme#1
    Reposition project description to the top of README

    Why:

    CURRENT
    The README begins with the '> [!IMPORTANT] ## 🚀 Cosmos 3 Has Arrived' section.
    COPY-PASTE FIX
    NVIDIA Cosmos Reason – an open, customizable, 7B-parameter reasoning vision-language model. It was designed for physical common sense reasoning, generating embodied decisions through long chain-of-thought processes. This repository is no longer under active development and will receive only limited maintenance updates. Future model releases, features, documentation, and community support will be focused on Cosmos 3. Please visit the new Cosmos home: https://github.com/NVIDIA/Cosmos

[Followed by the rest of the existing README content, including the original '> [!IMPORTANT]' section and 'Paper | Website' line]
  • mediumreadme#2
    Emphasize multi-modal capabilities in the README introduction

    Why:

    CURRENT
    The current README introduction (after the previous action) describes it as a 'reasoning vision-language model' but doesn't explicitly detail its multi-modal nature.
    COPY-PASTE FIX
    NVIDIA Cosmos Reason – an open, customizable, 7B-parameter reasoning vision-language model. It functions as a multi-modal reasoning agent, combining vision and language to understand physical common sense and generate embodied decisions through long chain-of-thought processes. This repository is no longer under active development...

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-cosmos/cosmos-reason1
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
OpenAI's GPT-4
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. OpenAI's GPT-4 · recommended 1×
  2. Google DeepMind's RT-2 · recommended 1×
  3. Meta AI's CodecLM · recommended 1×
  4. Boston Dynamics' Spot · recommended 1×
  5. huggingface/transformers · recommended 1×
  • CATEGORY QUERY
    AI models that understand physical common sense and generate embodied decisions in natural language?
    you: not recommended
    AI recommended (in order):
    1. OpenAI's GPT-4
    2. Google DeepMind's RT-2
    3. Meta AI's CodecLM
    4. Boston Dynamics' Spot
    5. Hugging Face Transformers (huggingface/transformers)

    AI recommended 5 alternatives but never named nvidia-cosmos/cosmos-reason1. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Unified AI models for physical reasoning, world prediction, and action generation in robotics?
    you: not recommended
    AI recommended (in order):
    1. Robotics Transformer (RT-1, RT-2)
    2. OpenAI's Robotics Platform
    3. Meta AI's Habitat
    4. Ego-Exo4D
    5. NVIDIA's Isaac Sim
    6. Omniverse
    7. Isaac Gym
    8. Boston Dynamics' AI
    9. Spot
    10. Atlas
    11. SayCan
    12. PaLM-E

    AI recommended 12 alternatives but never named nvidia-cosmos/cosmos-reason1. 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-cosmos/cosmos-reason1?
    pass
    AI named nvidia-cosmos/cosmos-reason1 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-cosmos/cosmos-reason1 in production, what risks or prerequisites should they evaluate first?
    pass
    AI named nvidia-cosmos/cosmos-reason1 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-cosmos/cosmos-reason1 solve, and who is the primary audience?
    pass
    AI named nvidia-cosmos/cosmos-reason1 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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  • Brand-free category queries5 vs 2 in Lite
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nvidia-cosmos/cosmos-reason1 — RepoGEO report