RRepoGEO

REPOGEO REPORT · LITE

AvaLovelace1/BrickGPT

Default branch main · commit da01aab8 · scanned 5/29/2026, 4:33:49 PM

GitHub: 1,659 stars · 105 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 AvaLovelace1/BrickGPT, 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
    generative-ai, toy-bricks, 3d-generation, text-to-3d, stability-analysis, computer-vision, llm, deep-learning, iccv-2025, physical-simulation
  • highreadme#2
    Strengthen the README's opening statement for niche clarity

    Why:

    CURRENT
    # BrickGPT

Generating Physically Stable and Buildable Brick Structures from TextICCV 2025 (Best Paper, Marr Prize)**
    COPY-PASTE FIX
    # BrickGPT: Generative AI for Physically Stable Toy Brick Models

**BrickGPT** is the first approach for generating physically stable and buildable toy brick structures directly from text prompts. This official repository, recognized as an ICCV 2025 Best Paper (Marr Prize), provides the tools to create complex, physically viable brick designs, distinguishing it from generic 3D modeling or image generation tools.
  • mediumreadme#3
    Add a 'Comparison to Alternatives' section in the README

    Why:

    COPY-PASTE FIX
    ## Comparison to Alternatives

Unlike general-purpose 3D modeling software (e.g., Blender, Unity) or text-to-image generators (e.g., Midjourney, DALL-E), BrickGPT is specifically designed to produce **physically stable and buildable toy brick models** from text prompts. While tools like BrickLink Studio or LDraw allow manual design of brick structures, BrickGPT automates this process using generative AI, focusing on structural integrity and buildability, which is a key differentiator from other generative AI models that lack physical constraints.

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 AvaLovelace1/BrickGPT
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
DreamFusion
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. DreamFusion · recommended 2×
  2. Blender · recommended 1×
  3. Python · recommended 1×
  4. spaCy · recommended 1×
  5. Unity · recommended 1×
  • CATEGORY QUERY
    How can I generate physically stable 3D building block models from text descriptions?
    you: not recommended
    AI recommended (in order):
    1. Blender
    2. Python
    3. spaCy
    4. Unity
    5. Unreal Engine
    6. OpenSCAD
    7. SolidPython
    8. PyBullet
    9. MuJoCo
    10. DreamFusion
    11. Point-E
    12. Shap-E

    AI recommended 12 alternatives but never named AvaLovelace1/BrickGPT. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What tools use generative AI to create buildable toy brick designs from text prompts?
    you: not recommended
    AI recommended (in order):
    1. BrickLink Studio
    2. Midjourney
    3. DALL-E 3
    4. Stable Diffusion
    5. LDraw
    6. MLCad
    7. LDCad
    8. Bricksmith
    9. Minecraft
    10. DreamFusion
    11. Magic3D

    AI recommended 11 alternatives but never named AvaLovelace1/BrickGPT. 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 AvaLovelace1/BrickGPT?
    pass
    AI named AvaLovelace1/BrickGPT explicitly

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

  • If a team adopts AvaLovelace1/BrickGPT in production, what risks or prerequisites should they evaluate first?
    pass
    AI named AvaLovelace1/BrickGPT 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 AvaLovelace1/BrickGPT solve, and who is the primary audience?
    pass
    AI named AvaLovelace1/BrickGPT 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 AvaLovelace1/BrickGPT. It auto-updates whenever the report is rescanned and links back to the latest report — easy public proof that you care about AI discoverability.

RepoGEO badge previewLive preview
MARKDOWN (README)
[![RepoGEO](https://repogeo.com/badge/AvaLovelace1/BrickGPT.svg)](https://repogeo.com/en/r/AvaLovelace1/BrickGPT)
HTML
<a href="https://repogeo.com/en/r/AvaLovelace1/BrickGPT"><img src="https://repogeo.com/badge/AvaLovelace1/BrickGPT.svg" alt="RepoGEO" /></a>
Pro

Subscribe to Pro for deep diagnoses

AvaLovelace1/BrickGPT — 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