RRepoGEO

REPOGEO REPORT · LITE

microsoft/PromptCraft-Robotics

Default branch main · commit c75f0ee4 · scanned 5/27/2026, 1:46:57 AM

GitHub: 2,101 stars · 221 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 microsoft/PromptCraft-Robotics, 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
    Reposition README H1 and opening paragraph to highlight LLM-robotics integration

    Why:

    CURRENT
    # PromptCraft-Robotics

The PromptCraft-Robotics repository serves as a community for people to test and share interesting prompting examples for large language models (LLMs) within the robotics domain. We also provide a sample robotics simulator (built on Microsoft AirSim) with ChatGPT integration for users to get started.
    COPY-PASTE FIX
    # PromptCraft-Robotics: A Framework for LLM-Controlled Robotics with Integrated Simulation

PromptCraft-Robotics offers a unique platform for robotics researchers and AI developers to experiment with and share prompt engineering examples for large language models (LLMs) directly controlling robotic systems, featuring an integrated simulator built on Microsoft AirSim with ChatGPT capabilities.
  • mediumtopics#2
    Add more specific, compound topics to better reflect LLM-robotics integration

    Why:

    CURRENT
    airsim, chatgpt, llm, prompt-engineering, robotics, simulation
    COPY-PASTE FIX
    airsim, chatgpt, llm, prompt-engineering, robotics, simulation, llm-robotics, generative-ai-robotics, robot-control-llm, ai-robotics
  • mediumreadme#3
    Add a dedicated 'Differentiators' section to the README

    Why:

    COPY-PASTE FIX
    ## Why PromptCraft-Robotics? (Differentiators)

Unlike general LLM frameworks or standalone robot simulators, PromptCraft-Robotics provides a structured environment specifically designed for developing and testing LLM-generated, executable, and safety-aware code for direct robotic control. Our integrated AirSim-based simulator allows for rapid prototyping and experimentation with prompt engineering in a realistic robotics context.

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 microsoft/PromptCraft-Robotics
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
OpenAI API (GPT-4, GPT-3.5 Turbo)
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. OpenAI API (GPT-4, GPT-3.5 Turbo) · recommended 1×
  2. Google Gemini API · recommended 1×
  3. huggingface/transformers · recommended 1×
  4. langchain-ai/langchain · recommended 1×
  5. run-llama/llama_index · recommended 1×
  • CATEGORY QUERY
    How can I integrate large language models to control robotic systems effectively?
    you: not recommended
    AI recommended (in order):
    1. OpenAI API (GPT-4, GPT-3.5 Turbo)
    2. Google Gemini API
    3. Hugging Face Transformers (huggingface/transformers)
    4. LangChain (langchain-ai/langchain)
    5. LlamaIndex (run-llama/llama_index)
    6. ROS (Robot Operating System)
    7. RT-2
    8. SayCan
    9. Microsoft Guidance (microsoft/guidance)

    AI recommended 9 alternatives but never named microsoft/PromptCraft-Robotics. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Seeking a platform to experiment with prompt engineering for robot simulation tasks.
    you: not recommended
    AI recommended (in order):
    1. Isaac Sim
    2. Gazebo
    3. Webots
    4. CoppeliaSim
    5. PyBullet

    AI recommended 5 alternatives but never named microsoft/PromptCraft-Robotics. 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 microsoft/PromptCraft-Robotics?
    pass
    AI named microsoft/PromptCraft-Robotics explicitly

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

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

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

Embed your GEO score

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MARKDOWN (README)
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microsoft/PromptCraft-Robotics — 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