RRepoGEO

REPOGEO REPORT · LITE

3DTopia/OpenLRM

Default branch main · commit 3108b690 · scanned 5/24/2026, 4:06:43 PM

GitHub: 1,230 stars · 77 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 3DTopia/OpenLRM, 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 to emphasize AI-driven large reconstruction

    Why:

    CURRENT
    # OpenLRM: Open-Source Large Reconstruction Models
    COPY-PASTE FIX
    # OpenLRM: Open-Source Large Reconstruction Models
OpenLRM is an open-source framework for generating high-quality, usable 3D assets (explicit meshes and textures) directly from text or images, leveraging multi-view diffusion models.
  • highhomepage#2
    Add a homepage URL to the repository's About section

    Why:

    COPY-PASTE FIX
    https://huggingface.co/spaces/zxhezexin/OpenLRM
  • mediumtopics#3
    Expand repository topics to include AI-driven 3D reconstruction terms

    Why:

    CURRENT
    3d, aigc, computer-vision, generation
    COPY-PASTE FIX
    3d, aigc, computer-vision, generation, 3d-reconstruction, large-reconstruction-models, generative-ai, multi-view-diffusion

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 3DTopia/OpenLRM
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Meshroom
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. Meshroom · recommended 2×
  2. OpenSfM · recommended 1×
  3. COLMAP · recommended 1×
  4. MVE · recommended 1×
  5. Theia Structure from Motion Library · recommended 1×
  • CATEGORY QUERY
    What open-source tools exist for large-scale 3D model reconstruction from diverse inputs?
    you: not recommended
    AI recommended (in order):
    1. OpenSfM
    2. COLMAP
    3. Meshroom
    4. MVE
    5. Theia Structure from Motion Library
    6. OpenMVG
    7. VisualSFM

    AI recommended 7 alternatives but never named 3DTopia/OpenLRM. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    How can I leverage AI to generate realistic 3D content from images or other visual data?
    you: not recommended
    AI recommended (in order):
    1. Luma AI
    2. Polycam
    3. Instant NGP
    4. DreamFusion
    5. Spline
    6. Meshroom
    7. nerfstudio
    8. TensoRF

    AI recommended 8 alternatives but never named 3DTopia/OpenLRM. 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 3DTopia/OpenLRM?
    pass
    AI named 3DTopia/OpenLRM explicitly

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

  • If a team adopts 3DTopia/OpenLRM in production, what risks or prerequisites should they evaluate first?
    pass
    AI named 3DTopia/OpenLRM 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 3DTopia/OpenLRM solve, and who is the primary audience?
    pass
    AI named 3DTopia/OpenLRM explicitly

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

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3DTopia/OpenLRM — 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