RRepoGEO

REPOGEO REPORT · LITE

sherlockchou86/VideoPipe

Default branch master · commit 2a3b461e · scanned 5/15/2026, 1:36:57 PM

GitHub: 2,796 stars · 440 forks

AI VISIBILITY SCORE
40 /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
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 sherlockchou86/VideoPipe, 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 README introduction to emphasize framework benefits

    Why:

    CURRENT
    `VideoPipe` is a framework for video analysis and structuring, written in C++. It has minimal dependencies and is easy to use. It operates like a pipeline, where each node is independent and can be combined in various ways. `VideoPipe` can be used to build different types of video analysis applications, suitable for scenarios such as video structuring, image search, face recognition, and behavior analysis in traffic/security fields (such as traffic incident detection).
    COPY-PASTE FIX
    VideoPipe is a **cross-platform C++ framework for building real-time, modular video analysis and structuring applications.** Designed for developers and researchers, it simplifies complex computer vision pipelines with minimal dependencies, offering an easier-to-use and more portable alternative to frameworks like NVIDIA DeepStream for scenarios such as video structuring, image search, face recognition, and traffic/security behavior analysis.
  • mediumtopics#2
    Add 'video-processing-framework' topic

    Why:

    CURRENT
    ai, behaviour-analysis, cv, deep-learning, deepstream, face-recognition, feature-extraction, gstreamer, image-classification, image-segmentation, license-plate-recognition, llm, multimodal-large-language-models, object-detection, ollama, openai, opencv, reid, similarity-search, video-analysis
    COPY-PASTE FIX
    ai, behaviour-analysis, cv, deep-learning, deepstream, face-recognition, feature-extraction, gstreamer, image-classification, image-segmentation, license-plate-recognition, llm, multimodal-large-language-models, object-detection, ollama, openai, opencv, reid, similarity-search, video-analysis, video-processing-framework
  • lowabout#3
    Add 'C++' to the description

    Why:

    CURRENT
    A cross-platform video structuring (video analysis) framework. If you find it helpful, please give it a star: ) 跨平台的视频结构化（视频分析）框架，觉得有帮助的请给个星星 : )
    COPY-PASTE FIX
    A cross-platform **C++** video structuring (video analysis) framework. If you find it helpful, please give it a star: ) 跨平台的视频结构化（视频分析）框架，觉得有帮助的请给个星星 : )

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 sherlockchou86/VideoPipe
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
GStreamer/gstreamer
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. GStreamer/gstreamer · recommended 1×
  2. opencv/opencv · recommended 1×
  3. FFmpeg/FFmpeg · recommended 1×
  4. DeepStream SDK · recommended 1×
  5. google/mediapipe · recommended 1×
  • CATEGORY QUERY
    Need a cross-platform framework for real-time video content analysis and structuring.
    you: not recommended
    AI recommended (in order):
    1. GStreamer (GStreamer/gstreamer)
    2. OpenCV (opencv/opencv)
    3. FFmpeg (FFmpeg/FFmpeg)
    4. DeepStream SDK
    5. MediaPipe (google/mediapipe)

    AI recommended 5 alternatives but never named sherlockchou86/VideoPipe. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What are robust C++ libraries for building modular video analysis pipelines?
    you: not recommended
    AI recommended (in order):
    1. OpenCV
    2. GStreamer
    3. FFmpeg
    4. VXL
    5. PCL
    6. Intel IPP

    AI recommended 6 alternatives but never named sherlockchou86/VideoPipe. 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 sherlockchou86/VideoPipe?
    pass
    AI named sherlockchou86/VideoPipe explicitly

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

  • If a team adopts sherlockchou86/VideoPipe in production, what risks or prerequisites should they evaluate first?
    pass
    AI named sherlockchou86/VideoPipe 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 sherlockchou86/VideoPipe solve, and who is the primary audience?
    pass
    AI named sherlockchou86/VideoPipe 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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sherlockchou86/VideoPipe — 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