RRepoGEO

REPOGEO REPORT · LITE

OpenGVLab/Ask-Anything

Default branch main · commit c7f879b1 · scanned 5/24/2026, 3:38:23 PM

GitHub: 3,339 stars · 270 forks

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 OpenGVLab/Ask-Anything, 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
  • highreadme#1
    Enhance README H1 to clearly state project's purpose and nature

    Why:

    CURRENT
    # 🦜 VideoChat Family: Ask-Anything
    COPY-PASTE FIX
    # 🦜 VideoChat Family: Ask-Anything: An Open-Source Framework for Conversational Video Understanding
  • mediumabout#2
    Clarify the project description to explicitly state its open-source framework nature

    Why:

    CURRENT
    [CVPR2024 Highlight][VideoChatGPT] ChatGPT with video understanding! And many more supported LMs such as miniGPT4, StableLM, and MOSS.
    COPY-PASTE FIX
    [CVPR2024 Highlight][VideoChatGPT] An open-source framework for ChatGPT-like video understanding! Supports many LMs such as miniGPT4, StableLM, and MOSS.

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 OpenGVLab/Ask-Anything
Avg rank
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Google Cloud Video Intelligence API
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. Google Cloud Video Intelligence API · recommended 2×
  2. GPT-4o · recommended 2×
  3. huggingface/transformers · recommended 2×
  4. DeepMotion · recommended 2×
  5. Dialogflow ES · recommended 1×
  • CATEGORY QUERY
    How can I implement a conversational AI system capable of understanding and discussing video content?
    you: not recommended
    AI recommended (in order):
    1. Google Cloud Video Intelligence API
    2. Dialogflow ES
    3. Dialogflow CX
    4. Azure Video Indexer
    5. Azure Bot Service
    6. Microsoft Bot Framework (microsoft/botframework-sdk)
    7. AWS Rekognition (Video)
    8. Amazon Lex
    9. OpenAI GPT-4V (Vision)
    10. GPT-4o
    11. OpenAI Whisper (openai/whisper)
    12. Hugging Face Transformers (huggingface/transformers)
    13. VideoMAE
    14. Timesformer
    15. MViT
    16. BLIP-2
    17. LLaVA (haotian-liu/LLaVA)
    18. LangChain (langchain-ai/langchain)
    19. LlamaIndex (run-llama/llama_index)
    20. DeepMotion

    AI recommended 20 alternatives but never named OpenGVLab/Ask-Anything. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Seeking a robust large language model solution for comprehensive video analysis and interactive Q&A.
    you: not recommended
    AI recommended (in order):
    1. Google Cloud Video Intelligence API
    2. Vertex AI
    3. Gemini Pro
    4. Gemini Ultra
    5. Azure AI Video Indexer
    6. Azure OpenAI Service
    7. GPT-4 Turbo
    8. GPT-4o
    9. AWS Rekognition Video
    10. Amazon Bedrock
    11. Anthropic Claude 3 Opus
    12. Claude 3 Sonnet
    13. OpenAI's GPT-4o
    14. FFmpeg (FFmpeg/FFmpeg)
    15. Hugging Face Transformers (huggingface/transformers)
    16. Video-LLaVA
    17. LLaMA-V
    18. Llama 3
    19. Mistral
    20. Videonote.ai
    21. DeepMotion

    AI recommended 21 alternatives but never named OpenGVLab/Ask-Anything. 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 OpenGVLab/Ask-Anything?
    pass
    AI named OpenGVLab/Ask-Anything explicitly

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

  • If a team adopts OpenGVLab/Ask-Anything in production, what risks or prerequisites should they evaluate first?
    pass
    AI named OpenGVLab/Ask-Anything 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 OpenGVLab/Ask-Anything solve, and who is the primary audience?
    pass
    AI did not name OpenGVLab/Ask-Anything — 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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MARKDOWN (README)
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OpenGVLab/Ask-Anything — 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