RRepoGEO

REPOGEO REPORT · LITE

buaacyw/MeshAnythingV2

Default branch main · commit 461d3b6e · scanned 6/15/2026, 1:02:45 AM

GitHub: 998 stars · 68 forks

AI VISIBILITY SCORE
40 /100
Critical
Category recall
0 / 2
Not recommended in any query
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 buaacyw/MeshAnythingV2, 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 concise, differentiating opening paragraph to the README

    Why:

    CURRENT
    The README excerpt shows author lists and links immediately after the H1.
    COPY-PASTE FIX
    This repository presents MeshAnything V2, a novel framework for **artist-created 3D mesh generation** from diverse inputs (text, images, point clouds) using **Adjacent Mesh Tokenization**. Unlike methods relying on implicit representations or NeRFs, MeshAnything V2 directly produces explicit, high-quality meshes, offering unparalleled control and fidelity for 3D content creation.
  • mediumreadme#2
    Clarify the project's license in the README

    Why:

    COPY-PASTE FIX
    This project is released under a custom academic license. Please refer to the `LICENSE` file in the repository for complete details regarding usage and distribution.
  • lowtopics#3
    Expand repository topics to include specific technical differentiators

    Why:

    CURRENT
    3d, 3d-generation, generative-model, iccv2025, mesh, transformers
    COPY-PASTE FIX
    3d, 3d-generation, generative-model, iccv2025, mesh, transformers, mesh-tokenization, explicit-mesh-generation, artist-tools

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 buaacyw/MeshAnythingV2
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
GET3D
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. GET3D · recommended 2×
  2. Instant NGP · recommended 1×
  3. DreamFusion / Magic3D · recommended 1×
  4. Neuralangelo · recommended 1×
  5. Luma AI · recommended 1×
  • CATEGORY QUERY
    How can I generate high-quality 3D meshes from diverse inputs using AI?
    you: not recommended
    AI recommended (in order):
    1. Instant NGP
    2. DreamFusion / Magic3D
    3. GET3D
    4. Neuralangelo
    5. Luma AI
    6. nerfstudio
    7. TensoRF
    8. Point-E

    AI recommended 8 alternatives but never named buaacyw/MeshAnythingV2. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What are advanced generative models for creating artist-quality 3D mesh assets?
    you: not recommended
    AI recommended (in order):
    1. NVIDIA Instant NeRF
    2. Luma AI's API
    3. GET3D
    4. DreamFusion
    5. Magic3D
    6. MVDream
    7. Zero123
    8. Spline
    9. Blockade Labs

    AI recommended 9 alternatives but never named buaacyw/MeshAnythingV2. This is the gap to close.

    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 buaacyw/MeshAnythingV2?
    pass
    AI named buaacyw/MeshAnythingV2 explicitly

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

  • If a team adopts buaacyw/MeshAnythingV2 in production, what risks or prerequisites should they evaluate first?
    pass
    AI named buaacyw/MeshAnythingV2 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 buaacyw/MeshAnythingV2 solve, and who is the primary audience?
    pass
    AI named buaacyw/MeshAnythingV2 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 buaacyw/MeshAnythingV2. It auto-updates whenever the report is rescanned and links back to the latest report — easy public proof that you care about AI discoverability.

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MARKDOWN (README)
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HTML
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buaacyw/MeshAnythingV2 — 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