RRepoGEO

REPOGEO REPORT · LITE

InternRobotics/InternUtopia

Default branch main · commit b0a9520c · scanned 6/24/2026, 12:02:13 PM

GitHub: 1,265 stars · 78 forks

Scan history for this repo

Score trend below includes all ready runs (older left, newer right; scroll horizontally if needed). The table is collapsed by default—expand for newest-first rows, 10 per page.

Score trend (left → right: older → newer)

3 ready scans. Expand the table below for newest-first rows (10 per page, paginated).

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 InternRobotics/InternUtopia, 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 the README's opening to clearly state its purpose

    Why:

    CURRENT
    # InternUtopia

## 🔥 News
    COPY-PASTE FIX
    # InternUtopia
InternUtopia is a powerful and versatile simulation platform designed for cutting-edge Embodied AI research and development. It provides a Gym-compatible environment for training and testing diverse robots and agents.

## 🔥 News
  • hightopics#2
    Add relevant topics to the repository

    Why:

    COPY-PASTE FIX
    simulation, embodied-ai, robotics, reinforcement-learning, gym-environment, research-platform
  • mediumreadme#3
    Add a 'Key Features' section early in the README

    Why:

    COPY-PASTE FIX
    ## ✨ Key Features
- **Versatile Simulation:** A robust platform for diverse Embodied AI research and development.
- **Gym-Compatible:** Seamless integration with OpenAI Gym for easy environment implementation.
- **Pythonic Config System:** Effortlessly configure sensors, controllers, robots, and tasks out-of-the-box.
- **Extensible & Modular:** Designed for easy customization and expansion of environments and 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 InternRobotics/InternUtopia
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Habitat-sim
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. Habitat-sim · recommended 1×
  2. AI2-THOR · recommended 1×
  3. Unity · recommended 1×
  4. Isaac Sim · recommended 1×
  5. Gazebo · recommended 1×
  • CATEGORY QUERY
    What are good simulation platforms for developing and testing embodied AI agents?
    you: not recommended
    AI recommended (in order):
    1. Habitat-sim
    2. AI2-THOR
    3. Unity
    4. Isaac Sim
    5. Gazebo
    6. CARLA
    7. DeepMind Lab

    AI recommended 7 alternatives but never named InternRobotics/InternUtopia. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Looking for a versatile simulation environment for robotics and embodied AI research.
    you: not recommended
    AI recommended (in order):
    1. Isaac Sim (NVIDIA-Omniverse/IsaacSim)
    2. Gazebo (osrf/gazebo)
    3. CoppeliaSim (CoppeliaRobotics/CoppeliaSim)
    4. Webots (cyberbotics/webots)
    5. MuJoCo (deepmind/mujoco)
    6. PyBullet (bulletphysics/bullet3)
    7. RoboSuite (ARISE-Initiative/robosuite)

    AI recommended 7 alternatives but never named InternRobotics/InternUtopia. 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 InternRobotics/InternUtopia?
    pass
    AI named InternRobotics/InternUtopia explicitly

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

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

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

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InternRobotics/InternUtopia — 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