RRepoGEO

REPOGEO REPORT · LITE

X-Square-Robot/wall-x

Default branch main · commit e23a5868 · scanned 6/2/2026, 11:38:10 AM

GitHub: 1,020 stars · 80 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 X-Square-Robot/wall-x, 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
    Add a descriptive subtitle to the README's main heading

    Why:

    CURRENT
    # Wall-X
    COPY-PASTE FIX
    # Wall-X

## Training and Inference for Embodied Foundation Models
  • hightopics#2
    Add relevant topics to the repository

    Why:

    COPY-PASTE FIX
    robotics, embodied-ai, foundation-models, machine-learning, deep-learning, robot-control, reinforcement-learning, computer-vision, simulation
  • highlicense#3
    Add a LICENSE file to the repository

    Why:

    COPY-PASTE FIX
    Create a LICENSE file in the repository root with a standard open-source license (e.g., Apache-2.0, MIT, GPL-3.0) that best suits your project.

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 X-Square-Robot/wall-x
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
OpenAI Robotics Platform
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. OpenAI Robotics Platform · recommended 1×
  2. Google DeepMind's Robotics Ecosystem · recommended 1×
  3. Meta AI's Embodied AI Research · recommended 1×
  4. Boston Dynamics · recommended 1×
  5. NVIDIA Isaac Sim · recommended 1×
  • CATEGORY QUERY
    How to build general-purpose robots using embodied AI foundation models?
    you: not recommended
    AI recommended (in order):
    1. OpenAI Robotics Platform
    2. Google DeepMind's Robotics Ecosystem
    3. Meta AI's Embodied AI Research
    4. Boston Dynamics
    5. NVIDIA Isaac Sim
    6. Robo-GPT
    7. Hugging Face Transformers (huggingface/transformers)

    AI recommended 7 alternatives but never named X-Square-Robot/wall-x. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What tools help train and deploy embodied foundation models for robotic control?
    you: not recommended
    AI recommended (in order):
    1. Open X-Embodiment
    2. TensorFlow
    3. TensorFlow Robotics (TFR)
    4. PyTorch
    5. PyTorch Lightning
    6. Hugging Face Transformers
    7. ROS 2
    8. Isaac Sim
    9. Omniverse
    10. RLlib
    11. Ray
    12. Acme

    AI recommended 12 alternatives but never named X-Square-Robot/wall-x. 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 X-Square-Robot/wall-x?
    pass
    AI named X-Square-Robot/wall-x explicitly

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

  • If a team adopts X-Square-Robot/wall-x in production, what risks or prerequisites should they evaluate first?
    pass
    AI named X-Square-Robot/wall-x 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 X-Square-Robot/wall-x solve, and who is the primary audience?
    pass
    AI named X-Square-Robot/wall-x 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 X-Square-Robot/wall-x. It auto-updates whenever the report is rescanned and links back to the latest report — easy public proof that you care about AI discoverability.

RepoGEO badge previewLive preview
MARKDOWN (README)
[![RepoGEO](https://repogeo.com/badge/X-Square-Robot/wall-x.svg)](https://repogeo.com/en/r/X-Square-Robot/wall-x)
HTML
<a href="https://repogeo.com/en/r/X-Square-Robot/wall-x"><img src="https://repogeo.com/badge/X-Square-Robot/wall-x.svg" alt="RepoGEO" /></a>
Pro

Subscribe to Pro for deep diagnoses

X-Square-Robot/wall-x — 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