RRepoGEO

REPOGEO REPORT · LITE

duixcom/Duix-Mobile

Default branch main · commit 6886299e · scanned 7/1/2026, 7:02:34 AM

GitHub: 8,114 stars · 1,200 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)

2 ready scans. Expand the table below for newest-first rows (10 per page, paginated).

AI VISIBILITY SCORE
33 /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
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 duixcom/Duix-Mobile, 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 explicitly state it's an SDK for on-device AI avatars

    Why:

    COPY-PASTE FIX
    Add the following sentence immediately after the H1 in the README: "Duix Mobile is an open-source SDK for building and deploying real-time interactive AI avatars directly on mobile and embedded devices, offering on-device deployment without cloud dependencies."
  • mediumcomparison#2
    Add a 'Comparison' section to differentiate from generic ML frameworks and cloud-based avatar tools

    Why:

    COPY-PASTE FIX
    Add a new section to the README, for example, titled 'Why Duix Mobile?' or 'Comparison'. Include text like: 'Unlike generic machine learning frameworks (e.g., TensorFlow Lite, PyTorch Mobile) which provide low-level inference, Duix Mobile is a complete SDK specifically for interactive AI avatars. Compared to cloud-dependent avatar creation platforms (e.g., Unity, NVIDIA Omniverse ACE), Duix Mobile offers true on-device deployment, ensuring privacy, ultra-low latency (<1.5s), and no reliance on external servers.'
  • lowlicense#3
    Clarify the existing license(s) directly in the README

    Why:

    COPY-PASTE FIX
    Add a 'License' section to the README or update an existing one with a clear statement like: 'This project is licensed under [Specify License Name(s) here, e.g., "a custom license combining X and Y terms"]. 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 duixcom/Duix-Mobile
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
TensorFlow Lite
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. TensorFlow Lite · recommended 2×
  2. PyTorch Mobile · recommended 2×
  3. Unity · recommended 1×
  4. NVIDIA Omniverse ACE · recommended 1×
  5. NVIDIA Riva · recommended 1×
  • CATEGORY QUERY
    How can I develop a real-time interactive AI avatar solution for mobile devices with low latency?
    you: not recommended
    AI recommended (in order):
    1. Unity
    2. NVIDIA Omniverse ACE
    3. NVIDIA Riva
    4. Unreal Engine
    5. MetaHuman Creator
    6. Google Cloud Speech-to-Text
    7. Amazon Polly
    8. ONNX
    9. Google Dialogflow
    10. Rasa
    11. ARKit
    12. ARCore
    13. Flutter
    14. React Native
    15. WebRTC
    16. Amazon Transcribe
    17. Azure Speech to Text
    18. Google Cloud Text-to-Speech
    19. Azure Text to Speech
    20. Amazon Lex
    21. Three.js
    22. Babylon.js
    23. TensorFlow Lite
    24. PyTorch Mobile
    25. Swift
    26. Kotlin
    27. SceneKit
    28. OpenGL ES
    29. Vulkan
    30. 8th Wall
    31. Zappar

    AI recommended 31 alternatives but never named duixcom/Duix-Mobile. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What open-source SDKs enable on-device AI companions for iOS and Android without cloud reliance?
    you: not recommended
    AI recommended (in order):
    1. MLX
    2. MediaPipe
    3. TensorFlow Lite
    4. PyTorch Mobile
    5. ONNX Runtime
    6. Core ML

    AI recommended 6 alternatives but never named duixcom/Duix-Mobile. 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 duixcom/Duix-Mobile?
    pass
    AI named duixcom/Duix-Mobile explicitly

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

  • If a team adopts duixcom/Duix-Mobile in production, what risks or prerequisites should they evaluate first?
    pass
    AI named duixcom/Duix-Mobile 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 duixcom/Duix-Mobile solve, and who is the primary audience?
    pass
    AI did not name duixcom/Duix-Mobile — 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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duixcom/Duix-Mobile — 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