RRepoGEO

REPOGEO REPORT · LITE

OpenMind/OM1

Default branch main · commit af279ef6 · scanned 5/10/2026, 9:07:02 AM

GitHub: 2,783 stars · 990 forks

AI VISIBILITY SCORE
40 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
2 pass · 0 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 OpenMind/OM1, 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
  • highabout#1
    Refine the 'About' description to clarify the core purpose

    Why:

    CURRENT
    Modular AI runtime for robots
    COPY-PASTE FIX
    Modular AI runtime for deploying multimodal agents on physical robots and digital environments, focused on practical robotics control.
  • mediumreadme#2
    Expand README introduction to emphasize practical robotics and agent deployment

    Why:

    CURRENT
    OpenMind's OM1 is a modular AI runtime that empowers developers to create and deploy multimodal AI agents across digital environments and physical robots, including Humanoids, Phone Apps, Quadrupeds, educational robots such as TurtleBot 4, and simulators like Gazebo and Isaac Sim.
    COPY-PASTE FIX
    OpenMind's OM1 provides a modular AI runtime for robotics developers to build and deploy multimodal AI agents. It simplifies the integration of advanced AI with physical robots (Humanoids, Quadrupeds, TurtleBot 4) and digital environments (Gazebo, Isaac Sim), focusing on practical control, navigation, and interaction.
  • lowtopics#3
    Add more specific robotics-related topics

    Why:

    CURRENT
    llm, multiagent, robotics, ros2, zenoh
    COPY-PASTE FIX
    llm, multiagent, robotics, ros2, zenoh, robot-control, agent-framework, multimodal-ai, robot-simulation

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 OpenMind/OM1
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
ROS 2
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. ROS 2 · recommended 1×
  2. NVIDIA Isaac ROS · recommended 1×
  3. OpenVINO Toolkit · recommended 1×
  4. TensorFlow Lite · recommended 1×
  5. PyTorch Mobile · recommended 1×
  • CATEGORY QUERY
    What are the best modular AI runtimes for deploying multimodal agents on physical robots?
    you: not recommended
    AI recommended (in order):
    1. ROS 2
    2. NVIDIA Isaac ROS
    3. OpenVINO Toolkit
    4. TensorFlow Lite
    5. PyTorch Mobile
    6. ONNX Runtime
    7. Edge Impulse

    AI recommended 7 alternatives but never named OpenMind/OM1. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    How to integrate large language models with robotics platforms like ROS2 for multi-agent control?
    you: not recommended
    AI recommended (in order):
    1. OpenAI API
    2. LangChain
    3. LlamaIndex
    4. Hugging Face Transformers
    5. Google Cloud Vertex AI
    6. Microsoft Azure OpenAI Service
    7. Semantic Kernel
    8. Llama.cpp
    9. Ollama

    AI recommended 9 alternatives but never named OpenMind/OM1. This is the gap to close.

    Show full AI answer

Objective checks

Rule-based audits of metadata signals AI engines weight most.

  • Metadata completeness
    pass

  • 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 OpenMind/OM1?
    pass
    AI named OpenMind/OM1 explicitly

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

  • If a team adopts OpenMind/OM1 in production, what risks or prerequisites should they evaluate first?
    pass
    AI named OpenMind/OM1 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 OpenMind/OM1 solve, and who is the primary audience?
    pass
    AI named OpenMind/OM1 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
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