RRepoGEO

REPOGEO REPORT · LITE

DAMO-NLP-SG/VideoLLaMA3

Default branch main · commit 05cee23d · scanned 5/14/2026, 6:02:46 PM

GitHub: 1,157 stars · 87 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 DAMO-NLP-SG/VideoLLaMA3, 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 specific topics for video LLMs

    Why:

    COPY-PASTE FIX
    ["multimodal-llm", "video-understanding", "llama3", "foundation-model", "video-llm", "generative-ai"]
  • highhomepage#2
    Set the Hugging Face Space as the homepage

    Why:

    COPY-PASTE FIX
    https://huggingface.co/spaces/lixin4ever/VideoLLaMA3
  • mediumreadme#3
    Add a concise positioning statement to the README's opening

    Why:

    CURRENT
    <h5 align="center"> If our project helps you, please give us a star ⭐ on GitHub to support us. 🙏🙏 </h2>
    COPY-PASTE FIX
    <h5 align="center"> VideoLLaMA 3 is a frontier large language model specifically designed for comprehensive and temporally coherent understanding of long videos, integrating LLaMA 3's advanced reasoning with a unified multi-modal architecture. </h5> <h5 align="center"> If our project helps you, please give us a star ⭐ on GitHub to support us. 🙏🙏 </h5>

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/VideoLLaMA3
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. VideoMAE · recommended 1×
  3. Video Swin Transformer · recommended 1×
  4. Perceiver IO · recommended 1×
  5. Uni-Perceiver · recommended 1×
  • CATEGORY QUERY
    What are the best multimodal foundation models for video analysis and comprehension?
    you: not recommended
    AI recommended (in order):
    1. VideoMAE
    2. Video Swin Transformer
    3. CLIP
    4. Perceiver IO
    5. Uni-Perceiver

    AI recommended 5 alternatives but never named DAMO-NLP-SG/VideoLLaMA3. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    How can I leverage large language models for advanced image and video content analysis?
    you: not recommended
    AI recommended (in order):
    1. OpenAI GPT-4V (Vision)
    2. Google Gemini
    3. Llama 3
    4. ViT
    5. Swin Transformer
    6. BLIP
    7. BLIP-2
    8. LLaVA
    9. Mistral
    10. Falcon
    11. Azure AI Vision
    12. Computer Vision API
    13. Azure OpenAI Service
    14. GPT-4
    15. AWS Rekognition
    16. Amazon Bedrock
    17. Claude
    18. Llama 2
    19. Hugging Face Transformers
    20. Fuyu-8B
    21. Idefics
    22. CLIP
    23. DeepMind's Perceiver IO

    AI recommended 23 alternatives but never named DAMO-NLP-SG/VideoLLaMA3. 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/VideoLLaMA3?
    pass
    AI named DAMO-NLP-SG/VideoLLaMA3 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/VideoLLaMA3 in production, what risks or prerequisites should they evaluate first?
    pass
    AI named DAMO-NLP-SG/VideoLLaMA3 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/VideoLLaMA3 solve, and who is the primary audience?
    pass
    AI did not name DAMO-NLP-SG/VideoLLaMA3 — 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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DAMO-NLP-SG/VideoLLaMA3 — Lite scans stay free; this card itemizes Pro deep limits vs Lite.

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  • Brand-free category queries5 vs 2 in Lite
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