RRepoGEO

REPOGEO REPORT · LITE

huangwl18/VoxPoser

Default branch main · commit e3a4c9e5 · scanned 6/16/2026, 8:48:07 PM

GitHub: 813 stars · 110 forks

AI VISIBILITY SCORE
59 /100
Needs work
Category recall
1 / 2
Avg rank #9.0 when recommended
Rule findings
2 pass · 0 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 huangwl18/VoxPoser, 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
    Reposition README opening to emphasize 'system' for robotic manipulation

    Why:

    CURRENT
    This is the official demo code for VoxPoser, a method that uses large language models and vision-language models to zero-shot synthesize trajectories for manipulation tasks.
    COPY-PASTE FIX
    VoxPoser is a novel system that leverages large language models and vision-language models to enable zero-shot synthesis of robotic manipulation trajectories. This repository provides the official demo code and implementation details.
  • mediumreadme#2
    Clarify core differentiator to prevent misinterpretation

    Why:

    COPY-PASTE FIX
    Add a sentence or short paragraph after the initial description, e.g., 'Unlike approaches focused on human pose transfer or general 3D scene generation, VoxPoser specifically utilizes composable 3D value maps to guide robotic agents in complex, zero-shot manipulation tasks.'
  • lowtopics#3
    Expand repository topics with more specific keywords

    Why:

    CURRENT
    embodied-ai, foundation-models, large-language-models, motion-planning, robotic-manipulation, robotics, vision-language-model
    COPY-PASTE FIX
    embodied-ai, foundation-models, large-language-models, motion-planning, robotic-manipulation, robotics, vision-language-model, robot-control, task-planning, zero-shot-learning, rlbench, 3d-value-maps

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
1 / 2
50% of queries surface huangwl18/VoxPoser
Avg rank
#9.0
Lower is better. #1 = top recommendation.
Share of voice
6%
Of all named tools, what % are you?
Top rival
RT-2
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. RT-2 · recommended 2×
  2. OpenAI GPT-4 / GPT-3.5 Turbo · recommended 1×
  3. Google PaLM 2 / Gemini · recommended 1×
  4. Meta Llama 2 · recommended 1×
  5. Hugging Face Transformers · recommended 1×
  • CATEGORY QUERY
    How can I use large language models for zero-shot robotic manipulation task planning?
    you: not recommended
    AI recommended (in order):
    1. OpenAI GPT-4 / GPT-3.5 Turbo
    2. Google PaLM 2 / Gemini
    3. Meta Llama 2
    4. Hugging Face Transformers
    5. RT-2
    6. SayCan
    7. LangChain
    8. LlamaIndex

    AI recommended 8 alternatives but never named huangwl18/VoxPoser. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What frameworks enable embodied AI agents to perform complex motion planning with language guidance?
    you: #9
    AI recommended (in order):
    1. Open X-Embodiment
    2. RT-X (Robotics Transformer X)
    3. Robotics Transformers
    4. RT-1
    5. RT-2
    6. Diffusion Policy
    7. SayCan (Say, Can, and Do)
    8. Inner Monologue
    9. VoxPoser ← you
    Show full AI answer

Objective checks

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

  • Metadata completeness
    pass

  • 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 huangwl18/VoxPoser?
    pass
    AI named huangwl18/VoxPoser explicitly

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

  • If a team adopts huangwl18/VoxPoser in production, what risks or prerequisites should they evaluate first?
    pass
    AI named huangwl18/VoxPoser 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 huangwl18/VoxPoser solve, and who is the primary audience?
    pass
    AI named huangwl18/VoxPoser explicitly

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

Embed your GEO score

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MARKDOWN (README)
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huangwl18/VoxPoser — 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