RRepoGEO

REPOGEO REPORT · LITE

JIA-Lab-research/LLaMA-VID

Default branch main · commit b3d3ae2b · scanned 6/7/2026, 11:28:05 PM

GitHub: 861 stars · 52 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 JIA-Lab-research/LLaMA-VID, 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

2 prioritized changes generated by gemini-2.5-flash. Mark items done after you ship the fix.

OVERALL DIRECTION
  • highhomepage#1
    Add the project homepage URL to the repository's About section

    Why:

    COPY-PASTE FIX
    https://llama-vid.github.io/
  • mediumreadme#2
    Refine the README's opening sentence for clearer positioning

    Why:

    CURRENT
    LLaMA-VID empowers existing frameworks to support hour-long videos and pushes their upper limit with an extra context token. We build this repo based on LLaVA.
    COPY-PASTE FIX
    LLaMA-VID is a cutting-edge Video Large Language Model (Video-LLM) framework designed to empower existing LLMs to effectively understand and process hour-long video inputs, pushing their upper limit with an extra context token. Built upon LLaVA, it enables advanced multimodal video conversations.

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 JIA-Lab-research/LLaMA-VID
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Google Gemini
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. Google Gemini · recommended 2×
  2. Llama 3 · recommended 2×
  3. Video-LLaMA · recommended 1×
  4. Video-ChatGPT · recommended 1×
  5. InternVideo2 · recommended 1×
  • CATEGORY QUERY
    How can I extend large language models to effectively understand and process long video inputs?
    you: not recommended
    AI recommended (in order):
    1. Video-LLaMA
    2. Video-ChatGPT
    3. InternVideo2
    4. OpenAI GPT-4V
    5. Google Gemini
    6. LlamaIndex
    7. LangChain
    8. OpenCV
    9. PyTorchVideo
    10. YOLO
    11. CLIP
    12. Llama 3
    13. Mixtral
    14. KinetiCS

    AI recommended 14 alternatives but never named JIA-Lab-research/LLaMA-VID. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What are the best approaches for multimodal LLMs to support hour-long video conversations?
    you: not recommended
    AI recommended (in order):
    1. Google Gemini
    2. OpenAI GPT-4o
    3. OpenAI Whisper
    4. GPT-4o's Vision API
    5. Llama 3
    6. LLaVA (haotian-liu/LLaVA)
    7. Video-LLaMA (DAMO-NLP-SG/Video-LLaMA)
    8. BLIP-2 (salesforce/BLIP)
    9. Whisper (openai/whisper)
    10. Kaldi (kaldi-asr/kaldi)
    11. Anthropic Claude 3 Opus
    12. AWS Rekognition Video
    13. Google Cloud Video AI
    14. Whisper
    15. Azure AI Speech
    16. Azure AI Vision
    17. Azure OpenAI Service

    AI recommended 17 alternatives but never named JIA-Lab-research/LLaMA-VID. 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 JIA-Lab-research/LLaMA-VID?
    pass
    AI named JIA-Lab-research/LLaMA-VID explicitly

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

  • If a team adopts JIA-Lab-research/LLaMA-VID in production, what risks or prerequisites should they evaluate first?
    pass
    AI named JIA-Lab-research/LLaMA-VID 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 JIA-Lab-research/LLaMA-VID solve, and who is the primary audience?
    pass
    AI named JIA-Lab-research/LLaMA-VID explicitly

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

Embed your GEO score

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  • Deep reports10 / month
  • Brand-free category queries5 vs 2 in Lite
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