RRepoGEO

REPOGEO REPORT · LITE

soaring-xiongkulu/easyaiot

Default branch main · commit b142abb5 · scanned 6/8/2026, 8:01:54 PM

GitHub: 520 stars · 159 forks

AI VISIBILITY SCORE
28 /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
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 soaring-xiongkulu/easyaiot, 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
  • hightopics#1
    Add relevant topics to the repository

    Why:

    COPY-PASTE FIX
    aiot, iot, ai, edge-ai, edge-computing, video-analytics, surveillance, computer-vision, machine-learning, deep-learning, real-time, customizable-ai, platform, cloud-edge-device
  • highreadme#2
    Integrate the detailed problem/solution statement into the README's opening

    Why:

    CURRENT
    The current README starts with a vision statement and then 'Some Thoughts on the Project' before detailing positioning.
    COPY-PASTE FIX
    Insert this text immediately after the H1 title: "EasyAIoT is a cloud-edge-device integrated platform that democratizes AI by providing zero-barrier access to customizable AI models and algorithms for IoT devices. It excels in efficient management of IoT devices, especially cameras, integrating real-time streaming with advanced AI for intelligent vision applications like facial recognition, anomaly detection, and perimeter intrusion detection."
  • mediumhomepage#3
    Add a project homepage URL

    Why:

    COPY-PASTE FIX
    [Insert your project's official website or documentation URL here]

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 soaring-xiongkulu/easyaiot
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
AWS IoT Greengrass
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. AWS IoT Greengrass · recommended 1×
  2. AWS SageMaker · recommended 1×
  3. SageMaker Neo · recommended 1×
  4. Azure IoT Edge · recommended 1×
  5. Azure Machine Learning · recommended 1×
  • CATEGORY QUERY
    How to build an AI platform for IoT devices with customizable models and algorithms?
    you: not recommended
    AI recommended (in order):
    1. AWS IoT Greengrass
    2. AWS SageMaker
    3. SageMaker Neo
    4. Azure IoT Edge
    5. Azure Machine Learning
    6. Google Cloud IoT Core
    7. Google Cloud AI Platform
    8. Vertex AI
    9. Edge Impulse
    10. TensorFlow Lite
    11. TensorFlow Extended (TFX)
    12. PyTorch Mobile
    13. OpenVINO Toolkit

    AI recommended 13 alternatives but never named soaring-xiongkulu/easyaiot. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Need a system for real-time video stream AI analysis on edge devices for security monitoring.
    you: not recommended
    AI recommended (in order):
    1. NVIDIA Jetson Platform
    2. Google Coral Dev Board / Coral SoM
    3. Intel Movidius Myriad X
    4. Raspberry Pi 4
    5. Qualcomm Snapdragon Processors
    6. Hailo-8 AI Processor

    AI recommended 6 alternatives but never named soaring-xiongkulu/easyaiot. 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 soaring-xiongkulu/easyaiot?
    pass
    AI did not name soaring-xiongkulu/easyaiot — 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 soaring-xiongkulu/easyaiot in production, what risks or prerequisites should they evaluate first?
    pass
    AI named soaring-xiongkulu/easyaiot 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 soaring-xiongkulu/easyaiot solve, and who is the primary audience?
    pass
    AI named soaring-xiongkulu/easyaiot 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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soaring-xiongkulu/easyaiot — 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