RRepoGEO

REPOGEO REPORT · LITE

linyiLYi/voice-assistant

Default branch main · commit 1f16259f · scanned 5/25/2026, 9:02:53 AM

GitHub: 1,323 stars · 214 forks

AI VISIBILITY SCORE
35 /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
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 linyiLYi/voice-assistant, 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
    Clarify README's opening to emphasize 'local voice assistant demo'

    Why:

    CURRENT
    This is a simple Python script project that allows dialogue with a local large language model through voice.
    COPY-PASTE FIX
    This project provides a simple, runnable Python script demonstrating a complete local voice assistant application, integrating speech-to-text and a large language model for interactive dialogue.
  • hightopics#2
    Add specific topics to improve categorization

    Why:

    COPY-PASTE FIX
    ["voice-assistant", "local-llm", "whisper", "speech-to-text", "text-to-speech", "python", "demo", "ai-assistant"]
  • mediumhomepage#3
    Add a homepage URL to the repository

    Why:

    COPY-PASTE FIX
    https://github.com/linyiLYi/voice-assistant

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 linyiLYi/voice-assistant
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
openai/whisper
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. openai/whisper · recommended 2×
  2. ollama/ollama · recommended 1×
  3. ElevenLabs · recommended 1×
  4. coqui-ai/TTS · recommended 1×
  5. alphacep/vosk-api · recommended 1×
  • CATEGORY QUERY
    How to build a simple voice assistant using Python for local LLM interaction?
    you: not recommended
    AI recommended (in order):
    1. OpenAI Whisper (openai/whisper)
    2. Ollama (ollama/ollama)
    3. ElevenLabs
    4. Coqui TTS (coqui-ai/TTS)
    5. Vosk (alphacep/vosk-api)
    6. Llama.cpp (ggerganov/llama.cpp)
    7. pyttsx3 (nateshmbhat/pyttsx3)
    8. Google Speech Recognition (Uberi/speech_recognition)
    9. Hugging Face Transformers (huggingface/transformers)
    10. Google Text-to-Speech (gTTS) (pndurette/gTTS)
    11. sounddevice (spatialaudio/python-sounddevice)
    12. pyaudio (PyAudio/PyAudio)
    13. pvporcupine (Picovoice/porcupine)
    14. snowboy (kitt-ai/snowboy)

    AI recommended 14 alternatives but never named linyiLYi/voice-assistant. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What are options for integrating local speech-to-text with a large language model?
    you: not recommended
    AI recommended (in order):
    1. Whisper
    2. openai/whisper (openai/whisper)
    3. ggerganov/whisper.cpp (ggerganov/whisper.cpp)
    4. distil-whisper
    5. Llama.cpp
    6. Vosk
    7. Mozilla DeepSpeech
    8. Picovoice Rhino
    9. Picovoice Porcupine
    10. Hugging Face Transformers

    AI recommended 10 alternatives but never named linyiLYi/voice-assistant. 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 linyiLYi/voice-assistant?
    pass
    AI named linyiLYi/voice-assistant explicitly

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

  • If a team adopts linyiLYi/voice-assistant in production, what risks or prerequisites should they evaluate first?
    pass
    AI named linyiLYi/voice-assistant 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 linyiLYi/voice-assistant solve, and who is the primary audience?
    pass
    AI named linyiLYi/voice-assistant 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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linyiLYi/voice-assistant — 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