RRepoGEO

REPOGEO REPORT · LITE

DAMO-NLP-SG/VideoLLaMA3

Default branch main · commit 05cee23d · scanned 6/25/2026, 7:42:58 AM

GitHub: 1,169 stars · 88 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)

3 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 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 relevant topics to the repository

    Why:

    COPY-PASTE FIX
    ["multimodal-llm", "video-understanding", "foundation-model", "large-language-model", "video-llm", "image-understanding", "generative-ai"]
  • highreadme#2
    Add a concise value proposition to the README's opening

    Why:

    CURRENT
    The current README starts with a centered title, followed by a star request and links.
    COPY-PASTE FIX
    <h3 align="center"><a href="https://arxiv.org/pdf/2501.13106" style="color:#9C276A">
VideoLLaMA 3: Frontier Multimodal Foundation Models for Video Understanding</a></h3>
<p align="center">VideoLLaMA 3 is a unified multimodal foundation model that integrates advanced video understanding with high-quality video generation capabilities, setting new frontiers in comprehensive image and video content analysis.</p>
<h5 align="center"> If our project helps you, please give us a star ⭐ on GitHub to support us. 🙏🙏 </h2>
  • mediumhomepage#3
    Set the repository homepage to the Hugging Face demo

    Why:

    COPY-PASTE FIX
    https://huggingface.co/spaces/lixin4ever/VideoLLaMA3

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
Google's VideoPoet
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. Google's VideoPoet · recommended 1×
  2. OpenAI's GPT-4o · recommended 1×
  3. Meta's V-JEPA · recommended 1×
  4. Google's Gemini · recommended 1×
  5. Microsoft's Florence-2 · recommended 1×
  • CATEGORY QUERY
    What are the leading multimodal foundation models for video understanding applications?
    you: not recommended
    AI recommended (in order):
    1. Google's VideoPoet
    2. OpenAI's GPT-4o
    3. Meta's V-JEPA
    4. Google's Gemini
    5. Microsoft's Florence-2

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

    Show full AI answer
  • CATEGORY QUERY
    Seeking advanced AI models for comprehensive image and video content analysis.
    you: not recommended
    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 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?

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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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DAMO-NLP-SG/VideoLLaMA3 — RepoGEO report