RRepoGEO

REPOGEO REPORT · LITE

InternRobotics/StreamVLN

Default branch main · commit e48f6ff7 · scanned 6/12/2026, 1:42:59 PM

GitHub: 519 stars · 42 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 InternRobotics/StreamVLN, 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

2 prioritized changes generated by gemini-2.5-flash. Mark items done after you ship the fix.

OVERALL DIRECTION
  • highlicense#1
    Add a LICENSE file to the repository

    Why:

    COPY-PASTE FIX
    Create a LICENSE file in the repository root with a standard open-source license (e.g., MIT, Apache-2.0, GPL-3.0) that best suits the project's intent.
  • mediumreadme#2
    Add a concise introductory sentence to the README

    Why:

    CURRENT
    <h1 align="center"><strong>StreamVLN: Streaming Vision-and-Language Navigation via SlowFast Context Modeling</strong></h1>
  <p align="center">
    <a href='https://github.com/kellyiss/' target='_blank'>Meng Wei*</a>&emsp;
    COPY-PASTE FIX
    <h1 align="center"><strong>StreamVLN: Streaming Vision-and-Language Navigation via SlowFast Context Modeling</strong></h1>
  <p align="center">This repository provides the official implementation for StreamVLN, a novel approach enabling real-time, continuous Vision-and-Language Navigation in embodied AI.</p>
  <p align="center">
    <a href='https://github.com/kellyiss/' target='_blank'>Meng Wei*</a>&emsp;

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 InternRobotics/StreamVLN
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
ROS
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. ROS · recommended 2×
  2. MoveIt! · recommended 2×
  3. OpenCV · recommended 2×
  4. Hugging Face Transformers · recommended 2×
  5. PyTorch · recommended 2×
  • CATEGORY QUERY
    How to implement real-time robotic navigation using visual and natural language instructions?
    you: not recommended
    AI recommended (in order):
    1. ROS
    2. MoveIt!
    3. OpenCV
    4. Open3D
    5. Detectron2
    6. YOLOv8
    7. Hugging Face Transformers
    8. PyTorch
    9. TensorFlow
    10. Isaac Sim
    11. Gazebo
    12. OpenAI Gym
    13. Stable Baselines3
    14. CLIP
    15. ALIGN

    AI recommended 15 alternatives but never named InternRobotics/StreamVLN. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Looking for methods to process continuous visual and language streams for autonomous agent navigation.
    you: not recommended
    AI recommended (in order):
    1. ROS
    2. MoveIt!
    3. OpenCV
    4. PyTorch
    5. TensorFlow
    6. Stable Baselines3
    7. RLlib
    8. Hugging Face Transformers
    9. BERT
    10. GPT-3/GPT-4
    11. T5
    12. CLIP
    13. ViLT
    14. Flamingo
    15. BLIP-2
    16. ORB-SLAM3
    17. Google Cartographer
    18. BehaviorTree.CPP
    19. Gazebo
    20. Unity3D

    AI recommended 20 alternatives but never named InternRobotics/StreamVLN. 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 InternRobotics/StreamVLN?
    pass
    AI named InternRobotics/StreamVLN explicitly

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

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

Drop this badge into the README of InternRobotics/StreamVLN. It auto-updates whenever the report is rescanned and links back to the latest report — easy public proof that you care about AI discoverability.

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MARKDOWN (README)
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InternRobotics/StreamVLN — 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