RRepoGEO

REPOGEO REPORT · LITE

HKUDS/VideoAgent

Default branch main · commit 043f2d52 · scanned 6/10/2026, 6:23:15 AM

GitHub: 745 stars · 108 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 HKUDS/VideoAgent, 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
  • highreadme#1
    Reposition the README's main heading to emphasize 'LLM Agentic Framework'

    Why:

    CURRENT
    🌟 Comprehensive Video Intelligence: <br> An All-in-One Framework for Understanding, Editing, and Generation
    COPY-PASTE FIX
    🌟 VideoAgent: An All-in-One LLM Agentic Framework for Comprehensive Video Understanding, Editing, and Generation
  • mediumtopics#2
    Refine repository topics for better specificity and focus

    Why:

    CURRENT
    agents, audio-editing, audio-understanding, llm-agents, notebooklm, podcast, video-editing, video-understanding
    COPY-PASTE FIX
    llm-agents, video-agents, multimodal-agents, video-understanding, video-editing, video-generation, ai-agents, generative-ai
  • lowhomepage#3
    Add a homepage URL to the repository metadata

    Why:

    COPY-PASTE FIX
    Add a relevant URL (e.g., project page, documentation, or demo site) to the 'Homepage' field in the repository settings.

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 HKUDS/VideoAgent
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Hugging Face Transformers & Diffusers
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. Hugging Face Transformers & Diffusers · recommended 1×
  2. pytorch/vision · recommended 1×
  3. keras-team/keras-cv · recommended 1×
  4. OpenMMLab · recommended 1×
  5. DeepMotion · recommended 1×
  • CATEGORY QUERY
    What framework can I use for autonomous video understanding, editing, and generation?
    you: not recommended
    AI recommended (in order):
    1. Hugging Face Transformers & Diffusers
    2. PyTorch Video (pytorch/vision)
    3. KerasCV (keras-team/keras-cv)
    4. OpenMMLab
    5. DeepMotion
    6. RunwayML

    AI recommended 6 alternatives but never named HKUDS/VideoAgent. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    How to build an LLM agent for comprehensive multi-modal video content analysis and editing?
    you: not recommended
    AI recommended (in order):
    1. LangChain (langchain-ai/langchain)
    2. OpenAI API
    3. Hugging Face Transformers (huggingface/transformers)
    4. Hugging Face Diffusers (huggingface/diffusers)
    5. Whisper (openai/whisper)
    6. YOLO
    7. DETR (facebookresearch/detr)
    8. FFmpeg
    9. PyTorch (pytorch/pytorch)
    10. TensorFlow (tensorflow/tensorflow)
    11. OpenCV (opencv/opencv)
    12. MoviePy (Zulko/moviepy)

    AI recommended 12 alternatives but never named HKUDS/VideoAgent. 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 HKUDS/VideoAgent?
    pass
    AI named HKUDS/VideoAgent explicitly

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

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

    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 HKUDS/VideoAgent. 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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HKUDS/VideoAgent — 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