RRepoGEO

REPOGEO REPORT · LITE

Robbyant/lingbot-va

Default branch main · commit 58c2ae5b · scanned 5/13/2026, 3:14:11 PM

GitHub: 1,170 stars · 90 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 Robbyant/lingbot-va, 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
    robotics, world-model, robot-control, video-action-generation, generalist-robot, causal-model, deep-learning, reinforcement-learning, simulation
  • highreadme#2
    Clarify project domain in README's opening paragraph

    Why:

    COPY-PASTE FIX
    Add a concise sentence immediately after the H1 and badges, such as: "LingBot-VA is a cutting-edge **robotics project** that introduces a causal video-action world model for generalist robot control, distinct from conversational AI or language learning tools."
  • mediumreadme#3
    Enhance README with competitor keywords for category visibility

    Why:

    COPY-PASTE FIX
    Add a new section titled "Comparison & Related Work" that briefly discusses how LingBot-VA relates to or differs from established causal world models and robot learning frameworks like DreamerV3, PlaNet, and other approaches in reinforcement learning for robotics.

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 Robbyant/lingbot-va
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
DeepMind's Causal World Model (CWM)
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. DeepMind's Causal World Model (CWM) · recommended 1×
  2. DreamerV3 · recommended 1×
  3. DreamerV2 · recommended 1×
  4. PlaNet · recommended 1×
  5. Meta's Data2vec · recommended 1×
  • CATEGORY QUERY
    How to implement a causal world model for generalist robot control?
    you: not recommended
    AI recommended (in order):
    1. DeepMind's Causal World Model (CWM)
    2. DreamerV3
    3. DreamerV2
    4. PlaNet
    5. Meta's Data2vec
    6. ImageBind
    7. Perceiver IO
    8. Transformer-XL
    9. Google's GATO
    10. RT-1
    11. Variational Autoencoder (VAE)
    12. Diffusion Model
    13. Pyro
    14. Stan
    15. DoWhy
    16. CausalNex
    17. CausalGPT
    18. Causal Transformers
    19. OpenAI's Jukebox
    20. DALL-E
    21. TensorFlow Probability
    22. PyTorch Geometric

    AI recommended 22 alternatives but never named Robbyant/lingbot-va. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What frameworks enable video-action generation for robot learning and simulation?
    you: not recommended
    AI recommended (in order):
    1. RoboGen
    2. PyBullet
    3. Isaac Gym
    4. Isaac Sim
    5. Gymnasium
    6. ROS
    7. Unity ML-Agents

    AI recommended 7 alternatives but never named Robbyant/lingbot-va. 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 Robbyant/lingbot-va?
    pass
    AI named Robbyant/lingbot-va explicitly

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

  • If a team adopts Robbyant/lingbot-va in production, what risks or prerequisites should they evaluate first?
    pass
    AI named Robbyant/lingbot-va 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 Robbyant/lingbot-va solve, and who is the primary audience?
    pass
    AI named Robbyant/lingbot-va explicitly

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

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  • Brand-free category queries5 vs 2 in Lite
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Robbyant/lingbot-va — RepoGEO report