RRepoGEO

REPOGEO REPORT · LITE

PsyChip/machina

Default branch main · commit ad9a7463 · scanned 6/5/2026, 10:47:50 PM

GitHub: 792 stars · 37 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 PsyChip/machina, 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 'About' description for clarity and impact

    Why:

    CURRENT
    OpenCV+YOLO+LLAVA powered video surveillance system
    COPY-PASTE FIX
    AI-powered video surveillance system for real-time object detection and tracking from cameras, running completely offline.
  • highlicense#2
    Add a LICENSE file to the repository

    Why:

    COPY-PASTE FIX
    Create a LICENSE file in the repository root, choosing an appropriate open-source license (e.g., MIT, Apache-2.0, GPL-3.0) and ensuring its content is a standard SPDX template.
  • mediumtopics#3
    Expand repository topics with domain-specific keywords

    Why:

    CURRENT
    camera, llava, ollama-api, opencv, python, rtsp, yolo
    COPY-PASTE FIX
    camera, llava, ollama-api, opencv, python, rtsp, yolo, surveillance, security, offline-ai, real-time-tracking, object-tracking, video-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 PsyChip/machina
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
YOLOv8
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. YOLOv8 · recommended 2×
  2. OpenCV · recommended 2×
  3. NVIDIA Jetson Platform · recommended 1×
  4. DeepStream SDK · recommended 1×
  5. Jetson Orin Nano · recommended 1×
  • CATEGORY QUERY
    How to build an offline AI video surveillance system with real-time object tracking?
    you: not recommended
    AI recommended (in order):
    1. NVIDIA Jetson Platform
    2. DeepStream SDK
    3. Jetson Orin Nano
    4. Jetson AGX Orin
    5. YOLOv5
    6. YOLOv8
    7. SSD MobileNet
    8. DeepSORT
    9. NvDCF
    10. Intel OpenVINO Toolkit
    11. Intel NUC
    12. Intel Movidius Myriad X
    13. Advantech
    14. ADLINK
    15. Raspberry Pi 4/5
    16. Raspberry Pi 4
    17. Raspberry Pi 5
    18. Coral USB Accelerator
    19. OpenCV
    20. TensorFlow Lite
    21. PyTorch Mobile
    22. MobileNet SSD v2
    23. YOLOv4-tiny
    24. YOLOv5s
    25. Luxonis OAK-D
    26. DepthAI SDK
    27. Frigate
    28. Google Coral TPU
    29. Home Assistant

    AI recommended 29 alternatives but never named PsyChip/machina. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What Python libraries offer real-time object detection and multi-modal analysis for video streams?
    you: not recommended
    AI recommended (in order):
    1. OpenCV
    2. YOLO
    3. SSD
    4. PyTorch
    5. Detectron2
    6. MMDetection
    7. YOLOv8
    8. YOLO-NAS
    9. TensorFlow
    10. TensorFlow Object Detection API
    11. KerasCV
    12. DeepStream
    13. Ultralytics YOLO
    14. MediaPipe

    AI recommended 14 alternatives but never named PsyChip/machina. 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 PsyChip/machina?
    pass
    AI named PsyChip/machina explicitly

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

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

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

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PsyChip/machina — 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