RRepoGEO

REPOGEO REPORT · LITE

allenzren/open-pi-zero

Default branch main · commit c3df7fb0 · scanned 5/27/2026, 5:07:13 PM

GitHub: 1,468 stars · 106 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 allenzren/open-pi-zero, 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
    Clarify the project's purpose in the README's main heading

    Why:

    CURRENT
    # open-pi-zero
    COPY-PASTE FIX
    # open-pi-zero: An Open-Source Re-implementation of the pi0 Vision-Language-Action (VLA) Model
  • hightopics#2
    Add specific topics to improve categorization

    Why:

    COPY-PASTE FIX
    vla, vision-language-action, embodied-ai, robotics, deep-learning, paligemma, flow-matching, large-language-model, multimodal
  • mediumhomepage#3
    Add a homepage URL to the repository metadata

    Why:

    COPY-PASTE FIX
    https://physical-intelligence.com/

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 allenzren/open-pi-zero
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
RT-X
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. RT-X · recommended 2×
  2. GPT-4V · recommended 1×
  3. DALL-E 3 · recommended 1×
  4. RT-2 · recommended 1×
  5. Hugging Face Transformers · recommended 1×
  • CATEGORY QUERY
    How to implement a vision-language-action model for robotic control applications?
    you: not recommended
    AI recommended (in order):
    1. GPT-4V
    2. DALL-E 3
    3. RT-X
    4. RT-2
    5. Hugging Face Transformers
    6. Llama 3
    7. Mistral
    8. ViT
    9. DETR
    10. ROS (Robot Operating System)
    11. PyTorch
    12. TensorFlow
    13. RLBench
    14. RoboSuite
    15. Gato

    AI recommended 15 alternatives but never named allenzren/open-pi-zero. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Seeking open source models for embodied AI that integrate multimodal perception and action generation.
    you: not recommended
    AI recommended (in order):
    1. OpenVLA
    2. RT-X
    3. Mobile ALOHA
    4. Habitat
    5. Perceiver IO
    6. OpenFlamingo

    AI recommended 6 alternatives but never named allenzren/open-pi-zero. 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 allenzren/open-pi-zero?
    pass
    AI named allenzren/open-pi-zero explicitly

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

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

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

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  • Deep reports10 / month
  • Brand-free category queries5 vs 2 in Lite
  • Prioritized action items8 vs 3 in Lite