RRepoGEO

REPOGEO REPORT · LITE

AgibotTech/genie_sim

Default branch main · commit 556faf14 · scanned 6/14/2026, 9:37:35 PM

GitHub: 1,024 stars · 90 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 AgibotTech/genie_sim, 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
  • hightopics#1
    Add relevant topics to the repository

    Why:

    COPY-PASTE FIX
    simulation, embodied-ai, robotics, llm, generative-ai, 3d-reconstruction, data-generation, benchmark, ai-evaluation
  • highhomepage#2
    Set the repository homepage URL

    Why:

    COPY-PASTE FIX
    http://agibot-world.com/genie-sim
  • mediumreadme#3
    Reposition the README's opening to emphasize LLM-driven generation for embodied AI

    Why:

    CURRENT
    # 1. Genie Sim 3.0
Genie Sim is the simulation platform from AgiBot. It provides developers with a complete toolchain for environment reconstruction, scene generalization, data collection, and automated evaluation. Its core module, Genie Sim Benchmark is a standardized tool dedicated to establishing the most accurate and authoritative evaluation for embodied intelligence.
    COPY-PASTE FIX
    # 1. Genie Sim 3.0: LLM-Driven Simulation Platform for Embodied AI
Genie Sim 3.0 is AgiBot's cutting-edge simulation platform, pioneering LLM-driven technology to rapidly generate vast, high-fidelity 3D environments and evaluation configurations for embodied AI. It offers a complete toolchain for environment reconstruction, scene generalization, data collection, and automated evaluation, establishing the most accurate and authoritative benchmarks for intelligent agents.

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 AgibotTech/genie_sim
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Unity
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. Unity · recommended 2×
  2. ML-Agents Toolkit · recommended 2×
  3. Unreal Engine · recommended 2×
  4. Isaac Sim · recommended 2×
  5. NVIDIA Omniverse · recommended 2×
  • CATEGORY QUERY
    What platforms are available for simulating complex environments for embodied AI agents?
    you: not recommended
    AI recommended (in order):
    1. Unity
    2. ML-Agents Toolkit
    3. Unreal Engine
    4. AirSim
    5. Isaac Sim
    6. NVIDIA Omniverse
    7. Habitat
    8. MuJoCo
    9. DeepMind Lab
    10. RoboSchool

    AI recommended 10 alternatives but never named AgibotTech/genie_sim. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Seeking a simulation tool that uses AI or LLMs for automated environment generation and evaluation.
    you: not recommended
    AI recommended (in order):
    1. Unity
    2. ML-Agents Toolkit
    3. OpenAI's GPT series
    4. Unreal Engine
    5. NVIDIA Omniverse
    6. Gymnasium
    7. OpenAI Gym
    8. DeepMind Lab
    9. id Software's Quake III Arena engine
    10. Isaac Sim

    AI recommended 10 alternatives but never named AgibotTech/genie_sim. 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 AgibotTech/genie_sim?
    pass
    AI named AgibotTech/genie_sim explicitly

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

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

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

Embed your GEO score

Drop this badge into the README of AgibotTech/genie_sim. It auto-updates whenever the report is rescanned and links back to the latest report — easy public proof that you care about AI discoverability.

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MARKDOWN (README)
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