RRepoGEO

REPOGEO REPORT · LITE

DAMO-NLP-SG/VideoLLaMA2

Default branch main · commit c0bb03ab · scanned 5/15/2026, 6:57:44 PM

GitHub: 1,297 stars · 88 forks

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 DAMO-NLP-SG/VideoLLaMA2, 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 the repository

    Why:

    COPY-PASTE FIX
    video-llm, multimodal-llm, spatial-temporal-modeling, audio-understanding, video-comprehension, deep-learning, computer-vision, nlp
  • highreadme#2
    Add a concise, high-level summary statement at the very top of the README

    Why:

    COPY-PASTE FIX
    VideoLLaMA 2 is an advanced large language model designed for comprehensive video understanding, integrating spatial-temporal modeling and audio analysis to interpret long, unconstrained video content. It enables AI researchers and developers to build models that reason about both visual and auditory information in videos.
  • mediumhomepage#3
    Add a homepage URL to the repository's About section

    Why:

    COPY-PASTE FIX
    https://arxiv.org/abs/2406.07476 (or a dedicated project page if one exists)

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 DAMO-NLP-SG/VideoLLaMA2
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
MMAction2
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. MMAction2 · recommended 2×
  2. PyTorch · recommended 1×
  3. torchvision · recommended 1×
  4. torchaudio · recommended 1×
  5. TensorFlow · recommended 1×
  • CATEGORY QUERY
    How can I build an AI model that understands both video content and accompanying audio?
    you: not recommended
    AI recommended (in order):
    1. PyTorch
    2. torchvision
    3. torchaudio
    4. TensorFlow
    5. Keras
    6. TensorFlow Hub
    7. Hugging Face Transformers
    8. VideoMAE
    9. BEiT
    10. Wav2Vec2
    11. MMAction2
    12. DeepMind's Perceiver IO

    AI recommended 12 alternatives but never named DAMO-NLP-SG/VideoLLaMA2. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What are the best tools for advanced spatial-temporal reasoning and video comprehension?
    you: not recommended
    AI recommended (in order):
    1. PyTorchVideo
    2. MMAction2

    AI recommended 2 alternatives but never named DAMO-NLP-SG/VideoLLaMA2. 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 DAMO-NLP-SG/VideoLLaMA2?
    pass
    AI named DAMO-NLP-SG/VideoLLaMA2 explicitly

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

  • If a team adopts DAMO-NLP-SG/VideoLLaMA2 in production, what risks or prerequisites should they evaluate first?
    pass
    AI named DAMO-NLP-SG/VideoLLaMA2 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 DAMO-NLP-SG/VideoLLaMA2 solve, and who is the primary audience?
    pass
    AI named DAMO-NLP-SG/VideoLLaMA2 explicitly

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

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DAMO-NLP-SG/VideoLLaMA2 — 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