RRepoGEO

REPOGEO REPORT · LITE

VectorSpaceLab/Video-XL

Default branch main · commit 6e3dc89d · scanned 6/10/2026, 6:02:55 PM

GitHub: 624 stars · 42 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)

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

AI VISIBILITY SCORE
35 /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
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 VectorSpaceLab/Video-XL, 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 to improve categorization

    Why:

    COPY-PASTE FIX
    video-understanding, long-video, vision-language-model, vlm, hour-scale-video, deep-learning, computer-vision
  • highabout#2
    Clarify the repository description for AI categorization

    Why:

    CURRENT
    🔥🔥First-ever hour scale video understanding models
    COPY-PASTE FIX
    Open-source Vision Language Models (VLMs) for efficient, hour-scale video understanding.
  • mediumhomepage#3
    Add a homepage URL to the repository

    Why:

    COPY-PASTE FIX
    https://arxiv.org/abs/2409.14485

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 VectorSpaceLab/Video-XL
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
CLIP
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. CLIP · recommended 2×
  2. Google Cloud Video AI API · recommended 1×
  3. Video Intelligence API · recommended 1×
  4. Video AI Platform · recommended 1×
  5. AWS Rekognition Video · recommended 1×
  • CATEGORY QUERY
    How to perform comprehensive semantic understanding on extremely long video content efficiently?
    you: not recommended
    AI recommended (in order):
    1. Google Cloud Video AI API
    2. Video Intelligence API
    3. Video AI Platform
    4. AWS Rekognition Video
    5. AWS Transcribe
    6. AWS Comprehend
    7. Azure Video Indexer
    8. Azure Cognitive Services (Speech)
    9. Azure Cognitive Services (Language)
    10. OpenAI Whisper
    11. GPT-4
    12. Llama 2
    13. CLIP
    14. BLIP-2
    15. YOLO
    16. Mask R-CNN
    17. Claude
    18. VGGish
    19. OpenL3
    20. YOLOv8
    21. Detectron2
    22. SpaCy
    23. NLTK

    AI recommended 23 alternatives but never named VectorSpaceLab/Video-XL. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Which vision language models excel at processing and analyzing thousands of video frames?
    you: not recommended
    AI recommended (in order):
    1. VideoMAE
    2. MViT
    3. Timesformer
    4. OmniSource
    5. CLIP
    6. VideoCLIP
    7. InternVideo
    8. Perceiver IO

    AI recommended 8 alternatives but never named VectorSpaceLab/Video-XL. 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 VectorSpaceLab/Video-XL?
    pass
    AI named VectorSpaceLab/Video-XL explicitly

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

  • If a team adopts VectorSpaceLab/Video-XL in production, what risks or prerequisites should they evaluate first?
    pass
    AI named VectorSpaceLab/Video-XL 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 VectorSpaceLab/Video-XL solve, and who is the primary audience?
    pass
    AI named VectorSpaceLab/Video-XL explicitly

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

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VectorSpaceLab/Video-XL — 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