RRepoGEO

REPOGEO REPORT · LITE

Qi-Zhangyang/GPT4Scene-and-VLN-R1

Default branch main · commit 988e7f34 · scanned 6/2/2026, 10:32:57 PM

GitHub: 522 stars · 24 forks

AI VISIBILITY SCORE
28 /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
2 / 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 Qi-Zhangyang/GPT4Scene-and-VLN-R1, 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 H1 to prioritize GPT4Scene

    Why:

    CURRENT
    ## VLN-R1: Vision-Language Navigation via Reinforcement Fine-Tuning
    COPY-PASTE FIX
    ## GPT4Scene: Understand 3D Scenes from Videos with Vision-Language Models
  • hightopics#2
    Add relevant topics to improve categorization

    Why:

    CURRENT
    (none)
    COPY-PASTE FIX
    vision-language-models, 3d-scene-understanding, video-analysis, ai-agents, vision-language-navigation, reinforcement-learning, gpt4scene, vln-r1
  • mediumhomepage#3
    Add the project homepage URL

    Why:

    CURRENT
    (none)
    COPY-PASTE FIX
    https://vlnr1.github.io/

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 Qi-Zhangyang/GPT4Scene-and-VLN-R1
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
OpenCV
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. OpenCV · recommended 1×
  2. COLMAP · recommended 1×
  3. OpenSfM · recommended 1×
  4. ORB-SLAM3 · recommended 1×
  5. PyTorch · recommended 1×
  • CATEGORY QUERY
    How to analyze 3D environments from video streams using advanced AI models?
    you: not recommended
    AI recommended (in order):
    1. OpenCV
    2. COLMAP
    3. OpenSfM
    4. ORB-SLAM3
    5. PyTorch
    6. TensorFlow
    7. nerfstudio
    8. Instant-NGP
    9. Open3D
    10. Detectron2
    11. MMDetection
    12. MONO-BEV

    AI recommended 12 alternatives but never named Qi-Zhangyang/GPT4Scene-and-VLN-R1. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Tools for training AI agents to navigate 3D spaces using natural language instructions?
    you: not recommended
    AI recommended (in order):
    1. Habitat-Matterport 3D Research Dataset (HM3D) with Habitat-Lab
    2. AI2-THOR
    3. ALFRED
    4. RoboTHOR
    5. MINOS
    6. Unity ML-Agents Toolkit
    7. DeepMind Lab

    AI recommended 7 alternatives but never named Qi-Zhangyang/GPT4Scene-and-VLN-R1. 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 Qi-Zhangyang/GPT4Scene-and-VLN-R1?
    pass
    AI named Qi-Zhangyang/GPT4Scene-and-VLN-R1 explicitly

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

  • If a team adopts Qi-Zhangyang/GPT4Scene-and-VLN-R1 in production, what risks or prerequisites should they evaluate first?
    pass
    AI named Qi-Zhangyang/GPT4Scene-and-VLN-R1 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 Qi-Zhangyang/GPT4Scene-and-VLN-R1 solve, and who is the primary audience?
    pass
    AI did not name Qi-Zhangyang/GPT4Scene-and-VLN-R1 — 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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Qi-Zhangyang/GPT4Scene-and-VLN-R1 — 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