RRepoGEO

REPOGEO REPORT · LITE

duixcom/Duix-Mobile

Default branch main · commit 5765bdd1 · scanned 5/19/2026, 9:02:36 PM

GitHub: 7,983 stars · 1,182 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
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 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
    Strengthen README's 'What is Duix Mobile?' section to counter miscategorization

    Why:

    CURRENT
    Duix Mobile is an open-source SDK developed by www.duix.com that enables developers to create real-time interactive AI avatars directly on **mobile devices** or **embedded screens**.
    COPY-PASTE FIX
    Duix Mobile is an open-source SDK developed by www.duix.com that enables developers to create real-time interactive AI avatars directly on **mobile devices** or **embedded screens**. It is a specialized solution, distinct from general mobile development frameworks, custom Android ROMs, or generic machine learning libraries. Designed for on-device deployment, with no dependency on cloud servers, it makes your AI avatars lightweight, private, and highly responsive.
  • mediumlicense#2
    Clarify existing license details in README

    Why:

    COPY-PASTE FIX
    ## License
This project includes a LICENSE file that details its specific licensing terms. Please refer to the [LICENSE file](LICENSE) for full information on usage and distribution rights, as it is not a standard SPDX template.
  • lowcomparison#3
    Add a 'Comparison with Alternatives' section to README

    Why:

    COPY-PASTE FIX
    ## Comparison with Alternatives
Unlike general-purpose machine learning frameworks (e.g., TensorFlow Lite, PyTorch Mobile) or 3D content creation tools (e.g., NVIDIA Omniverse, Blender), Duix Mobile is a complete, specialized SDK. It is engineered specifically for building and deploying real-time, interactive AI avatars directly on mobile and embedded devices, integrating LLM, ASR, and TTS capabilities for on-premise, low-latency performance.

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 1 of 2 queries
COMPETITOR LEADERBOARD
  1. TensorFlow Lite · recommended 1×
  2. MediaPipe · recommended 1×
  3. PyTorch Mobile · recommended 1×
  4. Core ML · recommended 1×
  5. ML Kit · recommended 1×
  • CATEGORY QUERY
    How to build a real-time interactive AI assistant running directly on mobile devices?
    you: not recommended
    AI recommended (in order):
    1. TensorFlow Lite
    2. MediaPipe
    3. PyTorch Mobile
    4. Core ML
    5. ML Kit
    6. ONNX Runtime
    7. SpeechRecognizer
    8. TextToSpeech
    9. SFSpeechRecognizer
    10. AVSpeechSynthesizer

    AI recommended 10 alternatives but never named duixcom/Duix-Mobile. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What SDKs allow creating private AI avatars with custom LLM integration for on-premise deployment?
    you: not recommended
    AI recommended (in order):
    1. NVIDIA Omniverse Audio2Face
    2. Omniverse USD Composer
    3. Omniverse Kit
    4. Blender (blender/blender)
    5. Maya
    6. ZBrush
    7. NVIDIA Riva
    8. Coqui TTS (coqui-ai/TTS)
    9. Unreal Engine
    10. MetaHuman Animator
    11. Live Link Face
    12. Unity
    13. Ready Player Me
    14. Lipsync Pro
    15. ARKit
    16. DeepMotion
    17. Animate 3D
    18. Three.js (mrdoob/three.js)
    19. Babylon.js (BabylonJS/Babylon.js)
    20. MaryTTS (marytts/marytts)

    AI recommended 20 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 named duixcom/Duix-Mobile explicitly

    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