RRepoGEO

REPOGEO REPORT · LITE

chensjtu/GaussianObject

Default branch main · commit 91048a5d · scanned 6/25/2026, 1:23:23 PM

GitHub: 1,173 stars · 84 forks

Scan history for this repo

Score trend below includes all ready runs (older left, newer right; scroll horizontally if needed). The table is collapsed by default—expand for newest-first rows, 10 per page.

Score trend (left → right: older → newer)

3 ready scans. Expand the table below for newest-first rows (10 per page, paginated).

AI VISIBILITY SCORE
30 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
1 pass · 0 warn · 1 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 chensjtu/GaussianObject, 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 for discoverability

    Why:

    COPY-PASTE FIX
    3d-reconstruction, gaussian-splatting, computer-graphics, siggraph, neural-rendering, few-shot-3d, object-reconstruction, colmap-free
  • highlicense#2
    Add a LICENSE file to clarify usage terms

    Why:

    COPY-PASTE FIX
    Create a LICENSE file in the repository root with the chosen open-source license (e.g., MIT, Apache-2.0, GPL-3.0).
  • highhomepage#3
    Set the repository homepage URL

    Why:

    COPY-PASTE FIX
    Set the repository homepage URL in the GitHub repository settings to the official project page, which is linked as 'Project Page' in the README.

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 chensjtu/GaussianObject
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Instant-NGP
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. Instant-NGP · recommended 2×
  2. COLMAP · recommended 1×
  3. Neural Radiance Fields (NeRF) · recommended 1×
  4. nerfstudio · recommended 1×
  5. gaussian splatting · recommended 1×
  • CATEGORY QUERY
    How to reconstruct high-quality 3D models from only a few camera views?
    you: not recommended
    AI recommended (in order):
    1. COLMAP
    2. Neural Radiance Fields (NeRF)
    3. Instant-NGP
    4. nerfstudio
    5. gaussian splatting
    6. RealityCapture
    7. Metashape
    8. Meshroom
    9. OpenMVS

    AI recommended 9 alternatives but never named chensjtu/GaussianObject. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Seeking tools for high-fidelity 3D object creation using modern splatting algorithms.
    you: not recommended
    AI recommended (in order):
    1. Luma AI
    2. Polycam
    3. Nerfstudio
    4. Instant-NGP
    5. 3Dfy.ai

    AI recommended 5 alternatives but never named chensjtu/GaussianObject. This is the gap to close.

    Show full AI answer

Objective checks

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

  • Metadata completeness
    fail

    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 chensjtu/GaussianObject?
    pass
    AI named chensjtu/GaussianObject explicitly

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

  • If a team adopts chensjtu/GaussianObject in production, what risks or prerequisites should they evaluate first?
    pass
    AI named chensjtu/GaussianObject 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 chensjtu/GaussianObject solve, and who is the primary audience?
    pass
    AI named chensjtu/GaussianObject 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 chensjtu/GaussianObject. 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/chensjtu/GaussianObject.svg)](https://repogeo.com/en/r/chensjtu/GaussianObject)
HTML
<a href="https://repogeo.com/en/r/chensjtu/GaussianObject"><img src="https://repogeo.com/badge/chensjtu/GaussianObject.svg" alt="RepoGEO" /></a>
Pro

Subscribe to Pro for deep diagnoses

chensjtu/GaussianObject — 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