RRepoGEO

REPOGEO REPORT · LITE

mbzuai-oryx/Video-ChatGPT

Default branch main · commit 38c7475f · scanned 5/17/2026, 12:17:54 PM

GitHub: 1,500 stars · 129 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
33 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
2 pass · 0 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 mbzuai-oryx/Video-ChatGPT, 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
    Add a concise introductory paragraph to the README

    Why:

    CURRENT
    The README immediately follows the main title with author and benchmarking links, lacking an immediate, clear positioning statement.
    COPY-PASTE FIX
    Add the following text directly after `# Oryx Video-ChatGPT :movie_camera: :speech_balloon:`:

`Video-ChatGPT is a cutting-edge video conversation model, presented at ACL 2024, designed to generate meaningful, detailed conversations about video content. It uniquely combines the power of Large Language Models (LLMs) with a specialized visual encoder for spatiotemporal video representation, and introduces rigorous quantitative evaluation benchmarking for video-based conversational models.`
  • mediumtopics#2
    Correct typos and add more specific topics

    Why:

    CURRENT
    chatbot, clip, gpt-4, llama, llava, mulit-modal, vicuna, video-chatboat, video-conversation, vision-language, vision-language-pretraining
    COPY-PASTE FIX
    chatbot, clip, gpt-4, llama, llava, multi-modal, vicuna, video-chatbot, video-conversation, vision-language, vision-language-pretraining, video-llm, conversational-video-ai
  • lowcomparison#3
    Add a brief comparison section to the README

    Why:

    COPY-PASTE FIX
    Add a small section, perhaps titled `### Why Video-ChatGPT?`, explaining how it differs from general-purpose LLMs by focusing specifically on detailed, temporally aware conversational understanding of video content. For example:

`### Why Video-ChatGPT?`
`While general-purpose Large Language Models (LLMs) like GPT-4o or Llama 3 offer broad conversational capabilities, Video-ChatGPT is specifically engineered for detailed, temporally aware conversational understanding of video content. Unlike foundational models, Video-ChatGPT integrates a specialized visual encoder for spatiotemporal video representation, enabling it to generate meaningful dialogues directly from video inputs, rather than relying on pre-extracted metadata or static image analysis.`

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 mbzuai-oryx/Video-ChatGPT
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Google Cloud Video AI
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. Google Cloud Video AI · recommended 2×
  2. Llama 3 · recommended 2×
  3. AWS Rekognition Video · recommended 1×
  4. OpenCV · recommended 1×
  5. YOLO · recommended 1×
  • CATEGORY QUERY
    How to build a chatbot that can understand and discuss video content?
    you: not recommended
    AI recommended (in order):
    1. Google Cloud Video AI
    2. AWS Rekognition Video
    3. OpenCV
    4. YOLO
    5. ResNet
    6. TensorFlow
    7. PyTorch
    8. Hugging Face Transformers
    9. CLIP
    10. ViLT
    11. Google Cloud Speech-to-Text
    12. AWS Transcribe
    13. OpenAI Whisper
    14. Google Dialogflow CX
    15. Rasa
    16. OpenAI GPT-4
    17. GPT-3.5 Turbo
    18. Google Dialogflow Messenger
    19. LangChain
    20. PostgreSQL
    21. pg_vector
    22. Pinecone
    23. Weaviate

    AI recommended 23 alternatives but never named mbzuai-oryx/Video-ChatGPT. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Seeking a multimodal AI model for generating insightful conversations from video inputs.
    you: not recommended
    AI recommended (in order):
    1. Google Gemini
    2. OpenAI GPT-4o
    3. Llama 3
    4. LLaVA
    5. Fuyu-8B
    6. Microsoft Copilot
    7. AWS Rekognition
    8. Amazon Comprehend
    9. Amazon Bedrock
    10. Claude 3
    11. Llama 3
    12. Google Cloud Video AI
    13. Vertex AI
    14. Gemini
    15. PaLM 2

    AI recommended 15 alternatives but never named mbzuai-oryx/Video-ChatGPT. This is the gap to close.

    Show full AI answer

Objective checks

Rule-based audits of metadata signals AI engines weight most.

  • Metadata completeness
    pass

  • 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 mbzuai-oryx/Video-ChatGPT?
    pass
    AI did not name mbzuai-oryx/Video-ChatGPT — 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?

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

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

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mbzuai-oryx/Video-ChatGPT — 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