RRepoGEO

REPOGEO REPORT · LITE

KoljaB/LocalAIVoiceChat

Default branch main · commit 57516f85 · scanned 6/5/2026, 4:12:18 AM

GitHub: 721 stars · 77 forks

AI VISIBILITY SCORE
28 /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
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 KoljaB/LocalAIVoiceChat, 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 opening paragraph to emphasize integrated application

    Why:

    CURRENT
    Provides talk in realtime with AI, completely local on your PC, with customizable AI personality and voice.
    COPY-PASTE FIX
    Provides a complete, real-time AI voice chat experience, running entirely locally on your PC, with customizable AI personality and voice. This project integrates the powerful Zephyr 7B language model with real-time speech-to-text (RealtimeSTT with faster_whisper) and text-to-speech (RealtimeTTS with Coqui XTTS) libraries to create a fast and engaging voice-based local chatbot.
  • hightopics#2
    Add more specific topics to improve category visibility

    Why:

    CURRENT
    chatbot, python, realtime
    COPY-PASTE FIX
    chatbot, python, realtime, voice-assistant, local-llm, speech-to-text, text-to-speech, offline-ai, ai-voice-chat
  • mediumhomepage#3
    Add the repository URL as the homepage

    Why:

    COPY-PASTE FIX
    https://github.com/KoljaB/LocalAIVoiceChat

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 KoljaB/LocalAIVoiceChat
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Mycroft AI
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. Mycroft AI · recommended 1×
  2. Precise · recommended 1×
  3. Mozilla DeepSpeech · recommended 1×
  4. Vosk · recommended 1×
  5. llama.cpp · recommended 1×
  • CATEGORY QUERY
    How can I set up a completely local AI voice assistant for real-time conversation?
    you: not recommended
    AI recommended (in order):
    1. Mycroft AI
    2. Precise
    3. Mozilla DeepSpeech
    4. Vosk
    5. llama.cpp
    6. Llama 2
    7. Mistral 7B
    8. Mozilla TTS
    9. Coqui TTS
    10. Rhasspy
    11. Porcupine
    12. Snowboy
    13. Pocketsphinx
    14. PicoTTS
    15. eSpeak
    16. Home Assistant
    17. OpenWakeWord
    18. Piper
    19. Picovoice Porcupine
    20. OpenVoiceOS

    AI recommended 20 alternatives but never named KoljaB/LocalAIVoiceChat. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What are good Python libraries for building a real-time speech-to-text and text-to-speech chatbot?
    you: not recommended
    AI recommended (in order):
    1. OpenAI Whisper (openai/whisper)
    2. Google Cloud Text-to-Speech
    3. FastAPI (tiangolo/fastapi)
    4. AssemblyAI
    5. Eleven Labs
    6. Flask-SocketIO (miguelgrinberg/Flask-SocketIO)
    7. Mozilla DeepSpeech (mozilla/DeepSpeech)
    8. pyttsx3 (nateshmbhat/pyttsx3)
    9. websockets (aaugustin/websockets)
    10. SpeechRecognition (Uberi/speech_recognition)
    11. gTTS (pndurette/gTTS)
    12. Starlette (encode/starlette)
    13. Vosk (alphacep/vosk-api)
    14. MaryTTS
    15. Aiohttp (aio-libs/aiohttp)

    AI recommended 15 alternatives but never named KoljaB/LocalAIVoiceChat. 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 KoljaB/LocalAIVoiceChat?
    pass
    AI did not name KoljaB/LocalAIVoiceChat — 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?

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

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

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KoljaB/LocalAIVoiceChat — 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