RRepoGEO

REPOGEO REPORT · LITE

tuya/TuyaOpen

Default branch master · commit 3d089934 · scanned 5/30/2026, 5:47:10 AM

GitHub: 1,565 stars · 269 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 tuya/TuyaOpen, 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 the README's opening to immediately state its core value for hardware integration

    Why:

    COPY-PASTE FIX
    Move the existing paragraph 'TuyaOpen powers next-gen AI-agent hardware: it supports gear (Tuya T-Series WIFI/BT MCUs, Pi, ESP32s) via its flexible, cross-platform C/C++ SDK, pairs with Tuya Cloud’s low-latency multimodal AI (drag' to the very top of the README, directly below the main project title/logo and before any navigation links or badges.
  • mediumreadme#2
    Add a clear statement about the project's license(s) to the README

    Why:

    COPY-PASTE FIX
    Add a section to the README, for example: '## License
This project is licensed under [Specify License Name(s) and terms, e.g., a custom Tuya license, or a combination of licenses]. Please see the `LICENSE` file for full details.'
  • lowreadme#3
    Add a 'Why TuyaOpen?' or 'Comparison' section to the README

    Why:

    COPY-PASTE FIX
    Add a section like '## Why TuyaOpen? (vs. Cloud Platforms)' or '## TuyaOpen vs. [Competitor Names]' that highlights its unique value proposition for direct hardware integration and AI agent deployment on edge devices, contrasting it with cloud-only solutions.

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 tuya/TuyaOpen
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
AWS IoT Core
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. AWS IoT Core · recommended 2×
  2. AWS Lambda · recommended 2×
  3. Google Cloud IoT Core · recommended 2×
  4. Azure Cognitive Services · recommended 2×
  5. Home Assistant · recommended 2×
  • CATEGORY QUERY
    How can I quickly integrate AI agent capabilities into my smart IoT hardware projects?
    you: not recommended
    AI recommended (in order):
    1. AWS IoT Greengrass
    2. AWS IoT Core
    3. AWS Lambda
    4. Amazon Rekognition
    5. Amazon Polly
    6. Amazon Comprehend
    7. Google Cloud IoT Core
    8. Google Cloud Functions
    9. Dialogflow ES
    10. Dialogflow CX
    11. Google AI Platform
    12. Vertex AI
    13. Microsoft Azure IoT Edge
    14. Azure Functions
    15. Azure Cognitive Services
    16. Computer Vision
    17. Speech
    18. Language Understanding - LUIS
    19. OpenHAB
    20. Mycroft AI
    21. Home Assistant
    22. Rhasspy
    23. Edge Impulse
    24. Node-RED
    25. IBM Watson
    26. Google Cloud AI

    AI recommended 26 alternatives but never named tuya/TuyaOpen. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Looking for a robust framework to build AI-powered smart home devices and IoT solutions.
    you: not recommended
    AI recommended (in order):
    1. Home Assistant
    2. AWS IoT Core
    3. AWS Greengrass
    4. AWS Lambda
    5. Amazon SageMaker
    6. Amazon Kinesis
    7. Google Cloud IoT Core
    8. Google Edge TPU
    9. Google Cloud AI Platform
    10. TensorFlow
    11. TensorFlow Lite
    12. Microsoft Azure IoT Hub
    13. Azure IoT Edge
    14. Azure Machine Learning
    15. Azure Cognitive Services
    16. Eclipse IoT Project
    17. Eclipse Mosquitto
    18. Eclipse Kura
    19. Node-RED

    AI recommended 19 alternatives but never named tuya/TuyaOpen. 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 tuya/TuyaOpen?
    pass
    AI named tuya/TuyaOpen explicitly

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

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

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

Embed your GEO score

Drop this badge into the README of tuya/TuyaOpen. It auto-updates whenever the report is rescanned and links back to the latest report — easy public proof that you care about AI discoverability.

RepoGEO badge previewLive preview
MARKDOWN (README)
[![RepoGEO](https://repogeo.com/badge/tuya/TuyaOpen.svg)](https://repogeo.com/en/r/tuya/TuyaOpen)
HTML
<a href="https://repogeo.com/en/r/tuya/TuyaOpen"><img src="https://repogeo.com/badge/tuya/TuyaOpen.svg" alt="RepoGEO" /></a>
Pro

Subscribe to Pro for deep diagnoses

tuya/TuyaOpen — 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