RRepoGEO

REPOGEO REPORT · LITE

vimalabs/VIMA

Default branch main · commit 8449837a · scanned 6/3/2026, 3:28:01 AM

GitHub: 852 stars · 99 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 vimalabs/VIMA, 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, robot-manipulation, multimodal-prompts, foundation-model, reinforcement-learning, deep-learning, icml2023, vima, transformer, vision-language-model
  • highabout#2
    Refine the 'About' description for clarity and impact

    Why:

    CURRENT
    Official Algorithm Implementation of ICML'23 Paper "VIMA: General Robot Manipulation with Multimodal Prompts"
    COPY-PASTE FIX
    A generalist robot manipulation agent that uses multimodal prompts (text, visual) to perform diverse tasks, based on the ICML'23 VIMA paper.
  • mediumhomepage#3
    Add the project homepage URL to the repository's 'About' section

    Why:

    COPY-PASTE FIX
    https://vimalabs.github.io/

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 vimalabs/VIMA
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Hugging Face Transformers
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. Hugging Face Transformers · recommended 2×
  2. BLIP · recommended 2×
  3. OpenAI Robotics · recommended 1×
  4. Google's RT-2 · recommended 1×
  5. CLIP · recommended 1×
  • CATEGORY QUERY
    How can I build a single agent for diverse robot manipulation tasks with multimodal prompts?
    you: not recommended
    AI recommended (in order):
    1. OpenAI Robotics
    2. Google's RT-2
    3. Hugging Face Transformers
    4. CLIP
    5. BLIP
    6. Stable Baselines3
    7. Google's Diffusion Policy
    8. SayCan
    9. Code as Policies
    10. GPT-4
    11. LLaMA

    AI recommended 11 alternatives but never named vimalabs/VIMA. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Seeking a method for unified robot control using combined visual and textual instructions.
    you: not recommended
    AI recommended (in order):
    1. OpenAI CLIP
    2. ROS (Robot Operating System)
    3. NVIDIA Isaac Sim
    4. Google Robotics Transformer (RT-1/RT-2)
    5. Microsoft VIMA (Vision-Language Model for Robot Manipulation)
    6. DeepMind Gato
    7. Hugging Face Transformers
    8. ViLT
    9. ALBEF
    10. BLIP
    11. PyRobot
    12. MoveIt!

    AI recommended 12 alternatives but never named vimalabs/VIMA. 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 vimalabs/VIMA?
    pass
    AI named vimalabs/VIMA explicitly

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

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

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

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vimalabs/VIMA — 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