RRepoGEO

REPOGEO REPORT · LITE

stepjam/RLBench

Default branch master · commit 02720bba · scanned 6/20/2026, 2:31:43 PM

GitHub: 1,786 stars · 315 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)

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

AI VISIBILITY SCORE
62 /100
Needs work
Category recall
1 / 2
Avg rank #1.0 when recommended
Rule findings
1 pass · 1 warn · 0 fail
Objective metadata checks
AI knows your name
2 / 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 stepjam/RLBench, 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
    Clarify README opening to emphasize 'benchmark' over 'environment'

    Why:

    CURRENT
    RLBench is an ambitious large-scale benchmark and learning environment designed to facilitate research in a number of vision-guided manipulation research areas, including: reinforcement learning, imitation learning, multi-task learning, geometric computer vision, and in particular, few-shot learning.
    COPY-PASTE FIX
    RLBench is the definitive large-scale benchmark for robot learning, providing a standardized environment and diverse tasks for vision-guided manipulation research, including reinforcement learning, imitation learning, multi-task learning, and few-shot learning.
  • mediumreadme#2
    Add license clarification to README

    Why:

    COPY-PASTE FIX
    RLBench is released under [specify license(s) here, e.g., a custom license or a combination of licenses]. Please refer to the `LICENSE` file for full details.

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
1 / 2
50% of queries surface stepjam/RLBench
Avg rank
#1.0
Lower is better. #1 = top recommendation.
Share of voice
7%
Of all named tools, what % are you?
Top rival
MuJoCo
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. MuJoCo · recommended 2×
  2. PyBullet · recommended 2×
  3. CoppeliaSim · recommended 2×
  4. Isaac Gym / Isaac Sim · recommended 1×
  5. RoboSuite · recommended 1×
  • CATEGORY QUERY
    What are good simulation environments for developing robot manipulation reinforcement learning agents?
    you: not recommended
    AI recommended (in order):
    1. Isaac Gym / Isaac Sim
    2. MuJoCo
    3. PyBullet
    4. RoboSuite
    5. Gazebo
    6. CoppeliaSim

    AI recommended 6 alternatives but never named stepjam/RLBench. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Looking for a robust benchmark for multi-task robot learning and few-shot manipulation research.
    you: #1
    AI recommended (in order):
    1. RLBench ← you
    2. Meta-World
    3. Franka Emika Panda Robot
    4. RoboStack
    5. NVIDIA Isaac Gym
    6. MuJoCo
    7. Gymnasium
    8. PyBullet
    9. CoppeliaSim
    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 stepjam/RLBench?
    pass
    AI named stepjam/RLBench explicitly

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

  • If a team adopts stepjam/RLBench in production, what risks or prerequisites should they evaluate first?
    pass
    AI named stepjam/RLBench 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 stepjam/RLBench solve, and who is the primary audience?
    pass
    AI did not name stepjam/RLBench — 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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stepjam/RLBench — 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