RRepoGEO

REPOGEO REPORT · LITE

yangjiheng/nerf_and_beyond_docs

Default branch main · commit 2b15f7b3 · scanned 5/9/2026, 5:07:45 AM

GitHub: 1,165 stars · 50 forks

AI VISIBILITY SCORE
10 /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
0 / 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 yangjiheng/nerf_and_beyond_docs, 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
  • highabout#1
    Add a concise repository description

    Why:

    COPY-PASTE FIX
    A curated collection of documents, papers, and notes on NeRF, 3D Gaussian Splatting, and related 3D vision topics, maintained by the NeRF/3DGS & Beyond community.
  • hightopics#2
    Add relevant topics to the repository

    Why:

    COPY-PASTE FIX
    ["NeRF", "3DGS", "Neural Radiance Fields", "3D Gaussian Splatting", "3D Vision", "Computer Vision", "Documentation", "Papers", "Research", "Resources"]
  • mediumlicense#3
    Add a LICENSE file to the repository

    Why:

    COPY-PASTE FIX
    Create a LICENSE file (e.g., MIT License) in the repository root to clearly state the terms of use for the documentation.

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 yangjiheng/nerf_and_beyond_docs
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
arXiv.org
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. arXiv.org · recommended 2×
  2. awesome-nerf/awesome-nerf · recommended 1×
  3. 3D Gaussian Splatting for Real-Time Radiance Field Rendering Project Page · recommended 1×
  4. NeRF (Neural Radiance Fields) Project Page (Ben Mildenhall et al.) · recommended 1×
  5. Google Scholar · recommended 1×
  • CATEGORY QUERY
    Where can I find comprehensive documentation and papers on NeRF and 3D Gaussian Splatting?
    you: not recommended
    AI recommended (in order):
    1. Awesome-NeRF GitHub Repository (awesome-nerf/awesome-nerf)
    2. 3D Gaussian Splatting for Real-Time Radiance Field Rendering Project Page
    3. NeRF (Neural Radiance Fields) Project Page (Ben Mildenhall et al.)
    4. arXiv.org
    5. Google Scholar
    6. CVF Open Access
    7. YouTube

    AI recommended 7 alternatives but never named yangjiheng/nerf_and_beyond_docs. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What are the best resources to track recent advancements in neural rendering and 3D reconstruction?
    you: not recommended
    AI recommended (in order):
    1. arXiv.org
    2. Papers With Code
    3. Twitter (X)
    4. Google Research
    5. Meta AI
    6. NVIDIA AI
    7. Google Scholar Alerts
    8. CVPR
    9. ICCV
    10. ECCV
    11. NeurIPS
    12. SIGGRAPH
    13. IEEE Xplore
    14. ACM Digital Library
    15. OpenReview
    16. Two Minute Papers
    17. AI Coffee Break with Let's Talk About AI
    18. NVIDIA Technical Blog
    19. Google AI Blog

    AI recommended 19 alternatives but never named yangjiheng/nerf_and_beyond_docs. 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 yangjiheng/nerf_and_beyond_docs?
    pass
    AI did not name yangjiheng/nerf_and_beyond_docs — 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 yangjiheng/nerf_and_beyond_docs in production, what risks or prerequisites should they evaluate first?
    pass
    AI did not name yangjiheng/nerf_and_beyond_docs — 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?

  • In one sentence, what problem does the repo yangjiheng/nerf_and_beyond_docs solve, and who is the primary audience?
    pass
    AI did not name yangjiheng/nerf_and_beyond_docs — 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?

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yangjiheng/nerf_and_beyond_docs — 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