RRepoGEO

REPOGEO REPORT · LITE

DravenALG/awesome-vla-wam

Default branch main · commit 135a7ff3 · scanned 6/7/2026, 11:13:19 AM

GitHub: 705 stars · 23 forks

AI VISIBILITY SCORE
17 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
1 pass · 0 warn · 1 fail
Objective metadata checks
AI knows your name
1 / 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 DravenALG/awesome-vla-wam, 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 the README's opening to emphasize its role as a curated resource list

    Why:

    CURRENT
    # 🤖 Awesome VLA & WAM 
 **📜 A Curated List of Vision-Language-Action (VLA) and World Action Models (WAM) Research and Beyond**
    COPY-PASTE FIX
    # 🤖 Awesome VLA & WAM 
 **📜 A Curated List of Vision-Language-Action (VLA) and World Action Models (WAM) Research and Beyond.** This repository provides a comprehensive collection of research papers, datasets, and tools for the VLA and WAM fields.
  • hightopics#2
    Add specific topics to improve categorization

    Why:

    CURRENT
    (none)
    COPY-PASTE FIX
    awesome-list, vision-language-action, vla-models, world-action-models, wam-models, robotics, ai-agents, machine-learning-research, curated-list, research-papers, datasets
  • mediumlicense#3
    Add a LICENSE file to the repository

    Why:

    CURRENT
    (no LICENSE file detected — the repo has no recognizable license)
    COPY-PASTE FIX
    Choose an appropriate open-source license (e.g., MIT, Apache-2.0, GPL-3.0) and add it as a LICENSE file in the repository root.

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 DravenALG/awesome-vla-wam
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Gato
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. Gato · recommended 2×
  2. PaLM-E · recommended 1×
  3. Dactyl · recommended 1×
  4. PyTorch · recommended 1×
  5. TensorFlow · recommended 1×
  • CATEGORY QUERY
    Where can I find resources on AI models integrating vision, language, and physical actions?
    you: not recommended
    AI recommended (in order):
    1. Gato
    2. PaLM-E
    3. Dactyl
    4. PyTorch
    5. TensorFlow
    6. Stable Baselines3
    7. ResNet
    8. ViT
    9. Hugging Face Transformers
    10. RLlib
    11. Ray
    12. JAX
    13. CLIP
    14. BLIP
    15. ViLT
    16. ROS
    17. ros_deep_learning
    18. NVIDIA Isaac Gym
    19. MuJoCo
    20. OpenAI Gym
    21. PyBullet

    AI recommended 21 alternatives but never named DravenALG/awesome-vla-wam. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What are the leading research trends for world models and action generation in AI agents?
    you: not recommended
    AI recommended (in order):
    1. DreamerV3
    2. AlphaZero
    3. MuZero
    4. Gato
    5. Diffuser
    6. ActiDiff
    7. Decision Transformers
    8. Mamba
    9. S4
    10. HIRO
    11. Option-Critic

    AI recommended 11 alternatives but never named DravenALG/awesome-vla-wam. This is the gap to close.

    Show full AI answer

Objective checks

Rule-based audits of metadata signals AI engines weight most.

  • Metadata completeness
    fail

    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 DravenALG/awesome-vla-wam?
    pass
    AI did not name DravenALG/awesome-vla-wam — 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?

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