RRepoGEO

REPOGEO REPORT · LITE

boundless-large-model/boundless-world-model

Default branch main · commit 103d83d0 · scanned 6/3/2026, 7:52:44 AM

GitHub: 1,708 stars · 56 forks

AI VISIBILITY SCORE
22 /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
1 / 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 boundless-large-model/boundless-world-model, 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

2 prioritized changes generated by gemini-2.5-flash. Mark items done after you ship the fix.

OVERALL DIRECTION
  • highreadme#1
    Strengthen README's opening to emphasize simulator role

    Why:

    CURRENT
    > **BWM** is a physically consistent, action-conditioned video world model built upon Wan2.2-TI2V-5B, serving as a low-cost yet high-fidelity simulator for robotic manipulation.
    COPY-PASTE FIX
    > **BWM** is a physically consistent, action-conditioned video world model, specifically designed as a low-cost, high-fidelity simulator for robotic manipulation and embodied AI data generation.
  • mediumhomepage#2
    Add a homepage URL to the repository metadata

    Why:

    COPY-PASTE FIX
    https://huggingface.co/BLM-Lab/Boundless-World-Model

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 boundless-large-model/boundless-world-model
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
NVIDIA Isaac Sim
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. NVIDIA Isaac Sim · recommended 2×
  2. MuJoCo · recommended 2×
  3. PyBullet · recommended 2×
  4. Gazebo · recommended 2×
  5. RoboSuite · recommended 1×
  • CATEGORY QUERY
    Looking for a high-fidelity, action-conditioned simulator for robotic manipulation tasks.
    you: not recommended
    AI recommended (in order):
    1. NVIDIA Isaac Sim
    2. MuJoCo
    3. RoboSuite
    4. PyBullet
    5. Gazebo
    6. CoppeliaSim
    7. Webots

    AI recommended 7 alternatives but never named boundless-large-model/boundless-world-model. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What are good physically consistent world models for embodied AI data generation?
    you: not recommended
    AI recommended (in order):
    1. NVIDIA Isaac Sim
    2. Unity3D
    3. Unreal Engine
    4. MuJoCo
    5. Gazebo
    6. PyBullet

    AI recommended 6 alternatives but never named boundless-large-model/boundless-world-model. 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 boundless-large-model/boundless-world-model?
    pass
    AI did not name boundless-large-model/boundless-world-model — likely talking about a different project

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

  • If a team adopts boundless-large-model/boundless-world-model in production, what risks or prerequisites should they evaluate first?
    pass
    AI named boundless-large-model/boundless-world-model 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 boundless-large-model/boundless-world-model solve, and who is the primary audience?
    pass
    AI did not name boundless-large-model/boundless-world-model — likely talking about a different project

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

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