RRepoGEO

REPOGEO REPORT · LITE

dongsheng123132/u-claw

Default branch main · commit 3ff36618 · scanned 5/30/2026, 2:46:30 AM

GitHub: 1,599 stars · 375 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 dongsheng123132/u-claw, 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
    Clarify the 'About' description to explicitly counter the 'web crawler' misinterpretation

    Why:

    CURRENT
    🦞 U-Claw 虾盘 - OpenClaw AI 助手离线安装 U 盘 | 提供远程维护·定制开发·企业私有化部署服务 | Remote support & custom AI development
    COPY-PASTE FIX
    🦞 U-Claw 虾盘: The world's first **portable, offline AI assistant** that runs from a USB drive. NOT a web crawler. Installer for OpenClaw AI, offering remote support, custom dev, and enterprise private deployment.
  • highreadme#2
    Add a clear, concise 'What U-Claw Is (and Isn't)' statement at the top of the README

    Why:

    CURRENT
    > **虾盘 — 全球首个 U 盘里运行的 AI 助手 | The world's first AI assistant that runs from a USB drive**
    > **制作「插上就能用」的 AI 助手 U 盘 — 教程与源代码**
    > **Build a plug-and-play AI assistant USB drive — Tutorial & Source Code**
    COPY-PASTE FIX
    > **虾盘 — 全球首个 U 盘里运行的 AI 助手 | The world's first AI assistant that runs from a USB drive**
    > **制作「插上就能用」的 AI 助手 U 盘 — 教程与源代码**
    > **Build a plug-and-play AI assistant USB drive — Tutorial & Source Code**
    >
    > **U-Claw is a guide and toolkit for creating a portable, offline AI assistant on a USB drive. It is NOT a web crawler or a machine learning framework.**
  • mediumtopics#3
    Add more specific and descriptive topics related to offline AI and portability

    Why:

    CURRENT
    ai-assistant, china, deepseek, feishu, international, kimi, offline-ai, offline-installer, openclaw, plug-and-play, portable, qq-bot, usb, usb-portable, vietnam
    COPY-PASTE FIX
    ai-assistant, china, deepseek, feishu, international, kimi, offline-ai, offline-installer, openclaw, plug-and-play, portable, qq-bot, usb, usb-portable, vietnam, local-llm, edge-ai, personal-ai, self-hosted-ai, ai-on-usb

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 dongsheng123132/u-claw
Avg rank
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
tensorflow/tensorflow
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. tensorflow/tensorflow · recommended 2×
  2. Core ML · recommended 1×
  3. Create ML · recommended 1×
  4. pytorch/pytorch · recommended 1×
  5. Siri · recommended 1×
  • CATEGORY QUERY
    How to run an AI assistant completely offline from a portable device?
    you: not recommended
    AI recommended (in order):
    1. Core ML
    2. Create ML
    3. TensorFlow (tensorflow/tensorflow)
    4. PyTorch (pytorch/pytorch)
    5. Siri
    6. TensorFlow Lite (tensorflow/tensorflow)
    7. Google Assistant
    8. Mycroft AI (MycroftAI/mycroft-core)
    9. Rhasspy (rhasspy/rhasspy)
    10. Vosk (alphacep/vosk-api)
    11. Pocketsphinx (cmusphinx/pocketsphinx)
    12. Piper (rhasspy/piper)
    13. Coqui TTS (coqui-ai/TTS)
    14. Home Assistant's intent recognizer (home-assistant/core)
    15. RASA NLU (RasaHQ/rasa)
    16. Llama.cpp (ggerganov/llama.cpp)
    17. Ollama (ollama/ollama)
    18. Whisper.cpp (ggerganov/whisper.cpp)
    19. Termux (termux/termux-app)
    20. Arduino (arduino/arduino-ide)
    21. MicroPython (micropython/micropython)
    22. ESP-DL (espressif/esp-dl)

    AI recommended 22 alternatives but never named dongsheng123132/u-claw. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Seeking a plug-and-play solution to deploy a personal AI chatbot locally.
    you: not recommended
    AI recommended (in order):
    1. LM Studio
    2. Ollama
    3. Jan
    4. GPT4All
    5. LocalAI

    AI recommended 5 alternatives but never named dongsheng123132/u-claw. 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 dongsheng123132/u-claw?
    pass
    AI named dongsheng123132/u-claw explicitly

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

  • If a team adopts dongsheng123132/u-claw in production, what risks or prerequisites should they evaluate first?
    pass
    AI named dongsheng123132/u-claw 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 dongsheng123132/u-claw solve, and who is the primary audience?
    pass
    AI named dongsheng123132/u-claw explicitly

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

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dongsheng123132/u-claw — 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