REPOGEO REPORT · LITE

FlagOpen/RoboBrain

Default branch main · commit 24a327e8 · scanned 6/15/2026, 4:37:45 PM

GitHub: 553 stars · 44 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 FlagOpen/RoboBrain, 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

Clarify RoboBrain's unique positioning as a unified foundation model for robotics in the README's opening.

Why:

COPY-PASTE FIX

Add a concise introductory paragraph right after the title/badges, explicitly stating its role as a *unified foundation model* for robotic manipulation, distinguishing it from task-specific or generic RL approaches. For example: 'RoboBrain is a pioneering unified brain model designed specifically for complex robotic manipulation, offering a comprehensive, large-scale, multi-modal, and multi-task foundation for developing advanced robotic intelligence. Unlike traditional task-specific or generic reinforcement learning frameworks, RoboBrain provides a holistic approach to robotic control and reasoning, bridging the gap from abstract understanding to concrete actions.'

mediumtopics#2

Add more specific topics to highlight RoboBrain's role as a foundation model for robotics.

Why:

CURRENT

embodied-ai, robotics, vllm

COPY-PASTE FIX

embodied-ai, robotics, vllm, foundation-models-for-robotics, multi-modal-robotics, robot-learning-framework, robotic-manipulation

lowabout#3

Refine the repository description to emphasize its unique value proposition more directly.

Why:

CURRENT

[CVPR 2025] RoboBrain: A Unified Brain Model for Robotic Manipulation from Abstract to Concrete. Official Repository.

COPY-PASTE FIX

RoboBrain: A unified, multi-modal foundation model for robotic manipulation, bridging abstract reasoning to concrete actions. Official repository for the CVPR 2025 paper.

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 FlagOpen/RoboBrain

Avg rank

—

Lower is better. #1 = top recommendation.

Share of voice

Of all named tools, what % are you?

Top rival

Isaac Sim

Recommended in 2 of 2 queries

COMPETITOR LEADERBOARD

Isaac Sim · recommended 2×
DeepMind's Acme · recommended 1×
OpenAI Gym · recommended 1×
DeepMind's PyBullet Gym environments · recommended 1×
OpenSpiel · recommended 1×

CATEGORY QUERY
How can I develop a unified AI model for complex robotic manipulation tasks?
you: not recommended
AI recommended (in order):
1. DeepMind's Acme
2. OpenAI Gym
3. DeepMind's PyBullet Gym environments
4. OpenSpiel
5. TensorFlow
6. PyTorch
7. Robotics Operating System (ROS)
8. MoveIt!
9. RLlib
10. Ray
11. Gymnasium
12. PyBullet
13. Isaac Sim
14. NVIDIA Omniverse
15. Franka Emika Panda
16. Franka Control Interface (FCI)
17. libfranka
AI recommended 17 alternatives but never named FlagOpen/RoboBrain. This is the gap to close.
Show full AI answer
CATEGORY QUERY
Seeking an embodied AI framework for general-purpose robotic control and reasoning.
you: not recommended
AI recommended (in order):
1. Farama Gymnasium (Farama-Foundation/Gymnasium)
2. Stable Baselines3 (DLR-RM/stable-baselines3)
3. DeepMind's Acme (deepmind/acme)
4. ROS (Robot Operating System)
5. MoveIt! (ros-planning/moveit2)
6. Gazebo (osrf/gazebo)
7. PyBullet (bulletphysics/bullet3)
8. Isaac Sim
9. RLlib (ray-project/ray)
AI recommended 9 alternatives but never named FlagOpen/RoboBrain. 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 FlagOpen/RoboBrain?
pass
AI named FlagOpen/RoboBrain explicitly
AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?
If a team adopts FlagOpen/RoboBrain in production, what risks or prerequisites should they evaluate first?
pass
AI named FlagOpen/RoboBrain 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 FlagOpen/RoboBrain solve, and who is the primary audience?
pass
AI named FlagOpen/RoboBrain 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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Brand-free category queries5 vs 2 in Lite
Prioritized action items8 vs 3 in Lite