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REPOGEO REPORT · LITE

NVIDIA-AI-Blueprints/video-search-and-summarization

Default branch main · commit 01990363 · scanned 6/25/2026, 1:01:45 PM

GitHub: 1,637 stars · 336 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
27 /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
1 / 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 NVIDIA-AI-Blueprints/video-search-and-summarization, 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
  • highabout#1
    Refine the repository description to explicitly state its nature as a comprehensive blueprint/reference architecture

    Why:

    CURRENT
    The NVIDIA VSS Blueprint is a suite of reference architectures for building GPU-accelerated vision agents and AI-powered video analytics applications.
    COPY-PASTE FIX
    A comprehensive NVIDIA AI Blueprint providing GPU-accelerated reference architectures for building advanced vision agents and AI-powered video analytics applications, specifically for video search and summarization.
  • mediumtopics#2
    Add specific topics to clarify the repo's nature as a reference architecture/blueprint

    Why:

    CURRENT
    agents, llm, rag, skills, video-analytics, video-search, vlm
    COPY-PASTE FIX
    agents, llm, rag, skills, video-analytics, video-search, vlm, reference-architecture, ai-blueprint, gpu-acceleration
  • lowreadme#3
    Clarify the existing license(s) directly in the README

    Why:

    COPY-PASTE FIX
    In the 'License' section of the README, add a clear statement like: 'This project is licensed under [Name of License 1] and [Name of License 2]. Please refer to the `LICENSE` file for full details.'

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 NVIDIA-AI-Blueprints/video-search-and-summarization
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
tensorflow/tensorflow
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. tensorflow/tensorflow · recommended 2×
  2. NVIDIA DeepStream SDK · recommended 1×
  3. opencv/opencv · recommended 1×
  4. microsoft/onnxruntime · recommended 1×
  5. openvinotoolkit/openvino · recommended 1×
  • CATEGORY QUERY
    How to build AI-powered video analytics applications with real-time intelligence?
    you: not recommended
    AI recommended (in order):
    1. NVIDIA DeepStream SDK
    2. OpenCV (opencv/opencv)
    3. ONNX Runtime (microsoft/onnxruntime)
    4. TensorFlow Lite (tensorflow/tensorflow)
    5. Intel OpenVINO Toolkit (openvinotoolkit/openvino)
    6. AWS Kinesis Video Streams
    7. AWS Rekognition Custom Labels
    8. Amazon SageMaker
    9. Azure Video Analyzer
    10. Azure Cognitive Services
    11. Azure Machine Learning
    12. Google Cloud Video AI API
    13. Vertex AI
    14. YOLO
    15. PyTorch (pytorch/pytorch)
    16. TensorFlow (tensorflow/tensorflow)

    AI recommended 16 alternatives but never named NVIDIA-AI-Blueprints/video-search-and-summarization. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Seeking reference architecture for vision agents using LLMs and VLMs for video processing.
    you: not recommended
    AI recommended (in order):
    1. OpenAI's GPT-4o
    2. OpenAI's CLIP
    3. Google's PaLI/PaLM-E
    4. LangChain
    5. LlamaIndex
    6. Google's Gemini
    7. Google's MediaPipe
    8. Meta's Llama 3
    9. Hugging Face Transformers
    10. LLaVA
    11. BLIP-2
    12. VideoMAE
    13. Microsoft's Azure AI Services
    14. Azure OpenAI Service
    15. Azure AI Vision
    16. Semantic Kernel
    17. NVIDIA's Riva
    18. NVIDIA's DeepStream

    AI recommended 18 alternatives but never named NVIDIA-AI-Blueprints/video-search-and-summarization. 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 NVIDIA-AI-Blueprints/video-search-and-summarization?
    pass
    AI did not name NVIDIA-AI-Blueprints/video-search-and-summarization — 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 NVIDIA-AI-Blueprints/video-search-and-summarization in production, what risks or prerequisites should they evaluate first?
    pass
    AI named NVIDIA-AI-Blueprints/video-search-and-summarization 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 NVIDIA-AI-Blueprints/video-search-and-summarization solve, and who is the primary audience?
    pass
    AI did not name NVIDIA-AI-Blueprints/video-search-and-summarization — 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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NVIDIA-AI-Blueprints/video-search-and-summarization — RepoGEO report