RRepoGEO

REPOGEO REPORT · LITE

3D-Vision-World/awesome-NeRF-and-3DGS-SLAM

Default branch main · commit 13427565 · scanned 5/25/2026, 12:37:57 AM

GitHub: 2,013 stars · 143 forks

AI VISIBILITY SCORE
22 /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
1 / 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 3D-Vision-World/awesome-NeRF-and-3DGS-SLAM, 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's opening to emphasize "Awesome List" nature

    Why:

    CURRENT
    # awesome-NeRF-and-3DGS-SLAM [](https://github.com/sindresorhus/awesome) 
 This repo contains a curative list of **NeRF and 3D Gaussian Splatting papers relating to SLAM/Robotics domain**...
    COPY-PASTE FIX
    # awesome-NeRF-and-3DGS-SLAM [](https://github.com/sindresorhus/awesome) 
 **An Awesome List** curating **NeRF and 3D Gaussian Splatting papers relating to SLAM/Robotics domain**...
  • mediumlicense#2
    Add a license file to the repository

    Why:

    COPY-PASTE FIX
    Create a `LICENSE` file in the root of the repository with a standard open-source license of your choice.
  • lowhomepage#3
    Add a homepage URL to the About section

    Why:

    COPY-PASTE FIX
    Add `https://github.com/3D-Vision-World/awesome-NeRF-and-3DGS-SLAM` as the homepage URL in the repository's About section.

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 3D-Vision-World/awesome-NeRF-and-3DGS-SLAM
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
SplatSLAM
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. SplatSLAM · recommended 1×
  2. Gaussian-SLAM · recommended 1×
  3. Point-SLAM · recommended 1×
  4. NeRF-SLAM · recommended 1×
  5. instant-ngp · recommended 1×
  • CATEGORY QUERY
    What are the latest research and methods for NeRF and 3DGS in SLAM?
    you: not recommended
    AI recommended (in order):
    1. SplatSLAM
    2. Gaussian-SLAM
    3. Point-SLAM
    4. NeRF-SLAM
    5. instant-ngp
    6. Co-SLAM
    7. BundleSDF

    AI recommended 7 alternatives but never named 3D-Vision-World/awesome-NeRF-and-3DGS-SLAM. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Seeking resources on implicit representations for real-time mapping and localization in robotics.
    you: not recommended
    AI recommended (in order):
    1. Instant-NGP
    2. NVSLAM
    3. iMAP
    4. OpenVDB
    5. Open3D
    6. ROS
    7. octomap_server
    8. NID-SLAM
    9. DeepSDF

    AI recommended 9 alternatives but never named 3D-Vision-World/awesome-NeRF-and-3DGS-SLAM. 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 3D-Vision-World/awesome-NeRF-and-3DGS-SLAM?
    pass
    AI did not name 3D-Vision-World/awesome-NeRF-and-3DGS-SLAM — likely talking about a different project

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

  • If a team adopts 3D-Vision-World/awesome-NeRF-and-3DGS-SLAM in production, what risks or prerequisites should they evaluate first?
    pass
    AI named 3D-Vision-World/awesome-NeRF-and-3DGS-SLAM 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 3D-Vision-World/awesome-NeRF-and-3DGS-SLAM solve, and who is the primary audience?
    pass
    AI did not name 3D-Vision-World/awesome-NeRF-and-3DGS-SLAM — likely talking about a different project

    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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3D-Vision-World/awesome-NeRF-and-3DGS-SLAM — 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