RRepoGEO

REPOGEO REPORT · LITE

dreamzero0/dreamzero

Default branch main · commit ab790c19 · scanned 5/11/2026, 8:52:59 PM

GitHub: 1,924 stars · 158 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 dreamzero0/dreamzero, 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
  • highabout#1
    Update the 'About' description for clarity

    Why:

    CURRENT
    Code to pretrain, fine-tune, and evaluate DreamZero and run sim & real-world evals
    COPY-PASTE FIX
    Official code for NVIDIA DreamZero: a World Action Model for zero-shot robot policies, enabling pretraining, fine-tuning, and evaluation for sim & real-world robotics.
  • mediumreadme#2
    Reinforce the core purpose in the README's opening paragraph

    Why:

    CURRENT
    DreamZero is a World Action Model that jointly predicts actions and videos, achieving strong zero-shot performance on unseen tasks. This release package contains everything needed to load a pretrained DreamZero model and run distributed inference via a WebSocket server.
    COPY-PASTE FIX
    DreamZero is a World Action Model (WAM) from NVIDIA GEAR Lab, designed for zero-shot robot policies. It jointly predicts actions and videos, achieving strong performance on unseen robotics tasks. This release package provides code to load pretrained DreamZero models and run distributed inference.

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 dreamzero0/dreamzero
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
RT-2
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. RT-2 · recommended 2×
  2. OpenAI's CLIP · recommended 1×
  3. Google's RT-1 · recommended 1×
  4. Meta's DINO · recommended 1×
  5. DINOv2 · recommended 1×
  • CATEGORY QUERY
    How can I implement zero-shot robot policies for unseen tasks using video models?
    you: not recommended
    AI recommended (in order):
    1. OpenAI's CLIP
    2. Google's RT-1
    3. RT-2
    4. Meta's DINO
    5. DINOv2
    6. Google's Perceiver IO
    7. Perceiver Actor
    8. Google's Diffusion Policy for Robot Manipulation
    9. Open X-Embodiment Dataset
    10. RT-X

    AI recommended 10 alternatives but never named dreamzero0/dreamzero. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What tools enable fast adaptation of robot models for language following and pick-and-place?
    you: not recommended
    AI recommended (in order):
    1. OpenAI Robotics
    2. GPT-4
    3. CLIP
    4. DALL-E 3
    5. Google Robotics
    6. PaLM-E
    7. RT-2
    8. Hugging Face Transformers
    9. BLIP-2
    10. ViLT
    11. OpenCLIP
    12. Robotics Operating System (ROS)
    13. MoveIt!
    14. PCL
    15. OpenCV
    16. PyTorch
    17. TensorFlow
    18. RLlib

    AI recommended 18 alternatives but never named dreamzero0/dreamzero. 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 dreamzero0/dreamzero?
    pass
    AI named dreamzero0/dreamzero explicitly

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

  • If a team adopts dreamzero0/dreamzero in production, what risks or prerequisites should they evaluate first?
    pass
    AI named dreamzero0/dreamzero 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 dreamzero0/dreamzero solve, and who is the primary audience?
    pass
    AI named dreamzero0/dreamzero explicitly

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

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  • Brand-free category queries5 vs 2 in Lite
  • Prioritized action items8 vs 3 in Lite