REPOGEO REPORT · LITE

BeingBeyond/Being-H

Default branch main · commit d8141d5b · scanned 6/15/2026, 11:17:48 PM

GitHub: 1,007 stars · 57 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 BeingBeyond/Being-H, 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

embodied-ai, foundation-models, vla, wam, robotics, human-centric-ai, reinforcement-learning, imitation-learning, robot-control, human-demonstration

highreadme#2

Reposition the README H1 and introductory sentence

Why:

CURRENT

# Being-H

Being-H is BeingBeyond's family of human-centric embodied foundation models.

COPY-PASTE FIX

# Being-H: Human-Centric Embodied Foundation Models for Robotics and Embodied Agents

Being-H is BeingBeyond's family of human-centric embodied foundation models, specifically designed for applications in robotics and embodied AI, enabling agents to learn from human demonstrations and interact with the world.

mediumreadme#3

Add a 'Key Capabilities' section to the README

Why:

COPY-PASTE FIX

## Key Capabilities

Being-H models are designed to:

*   **Learn from Human Demonstrations:** Utilize egocentric videos and human-centric data for robust pre-training.
*   **Cross-Embodiment Generalization:** Enable models to apply learned skills across different robotic platforms and environments.
*   **Unified Action Spaces:** Provide a consistent framework for diverse robotic tasks.
*   **Future-Aware Latent Reasoning:** Incorporate advanced reasoning for complex sequential decision-making.

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 BeingBeyond/Being-H

Avg rank

—

Lower is better. #1 = top recommendation.

Share of voice

Of all named tools, what % are you?

Top rival

RT-1 (Robotics Transformer 1)

Recommended in 1 of 2 queries

COMPETITOR LEADERBOARD

RT-1 (Robotics Transformer 1) · recommended 1×
RT-2 (Robotics Transformer 2) · recommended 1×
OpenVLA (Open-Vocabulary Language-conditioned Agent) · recommended 1×
PaLM-E (Pathways Language Model Embodied) · recommended 1×
CLIP (Contrastive Language-Image Pre-training) · recommended 1×

CATEGORY QUERY
Seeking AI models for robotic control that understand vision, language, and actions.
you: not recommended
AI recommended (in order):
1. RT-1 (Robotics Transformer 1)
2. RT-2 (Robotics Transformer 2)
3. OpenVLA (Open-Vocabulary Language-conditioned Agent)
4. PaLM-E (Pathways Language Model Embodied)
5. CLIP (Contrastive Language-Image Pre-training)
6. ViT-P (Vision Transformer for Policy)
AI recommended 6 alternatives but never named BeingBeyond/Being-H. This is the gap to close.
Show full AI answer
CATEGORY QUERY
Need a framework to train embodied agents using human demonstration videos.
you: not recommended
AI recommended (in order):
1. RLBench (google-research/rlbench)
2. RoboMimic (ARISE-Initiative/robomimic)
3. Habitat (facebookresearch/habitat-lab)
4. DeepMind Lab (deepmind/lab)
5. AI2-THOR (allenai/ai2thor)
6. PyBullet (bulletphysics/bullet3)
AI recommended 6 alternatives but never named BeingBeyond/Being-H. 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 BeingBeyond/Being-H?
pass
AI named BeingBeyond/Being-H explicitly
AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?
If a team adopts BeingBeyond/Being-H in production, what risks or prerequisites should they evaluate first?
pass
AI named BeingBeyond/Being-H 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 BeingBeyond/Being-H solve, and who is the primary audience?
pass
AI named BeingBeyond/Being-H 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 BeingBeyond/Being-H. It auto-updates whenever the report is rescanned and links back to the latest report — easy public proof that you care about AI discoverability.

Live preview

MARKDOWN (README)

[![RepoGEO](https://repogeo.com/badge/BeingBeyond/Being-H.svg)](https://repogeo.com/en/r/BeingBeyond/Being-H)

HTML

<a href="https://repogeo.com/en/r/BeingBeyond/Being-H"><img src="https://repogeo.com/badge/BeingBeyond/Being-H.svg" alt="RepoGEO" /></a>

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BeingBeyond/Being-H — 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