RRepoGEO

REPOGEO REPORT · LITE

lhl/voicechat2

Default branch main · commit 07b4209f · scanned 6/7/2026, 6:57:51 AM

GitHub: 774 stars · 91 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 lhl/voicechat2, 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

2 prioritized changes generated by gemini-2.5-flash. Mark items done after you ship the fix.

OVERALL DIRECTION
  • highreadme#1
    Reposition README H1 and opening sentence to clarify purpose

    Why:

    CURRENT
    # voicechat2
A fast, fully local AI Voicechat using WebSockets
    COPY-PASTE FIX
    # voicechat2: A Modular Framework for Local AI Voice Assistants
This project enables fast, fully local AI voice interaction using WebSockets, integrating swappable SRT, LLM, and TTS servers for real-time performance.
  • mediumcomparison#2
    Add a comparison section to the README

    Why:

    COPY-PASTE FIX
    Add a new section to the README, for example:

## Why voicechat2?

Unlike generic voice chat applications (e.g., Mumble, Jitsi Meet), voicechat2 is specifically designed as a modular framework for building local AI voice assistants, integrating swappable SRT, LLM, and TTS components. While projects like Llama.cpp or Coqui TTS provide individual AI models, voicechat2 offers a complete, low-latency system for real-time voice interaction.

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 lhl/voicechat2
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
mozilla/DeepSpeech
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. mozilla/DeepSpeech · recommended 1×
  2. coqui-ai/TTS · recommended 1×
  3. ggerganov/llama.cpp · recommended 1×
  4. PyAudio/PyAudio · recommended 1×
  5. spatialaudio/python-sounddevice · recommended 1×
  • CATEGORY QUERY
    How to build a real-time, fully local voice assistant with custom LLM and TTS?
    you: not recommended
    AI recommended (in order):
    1. Mozilla DeepSpeech (mozilla/DeepSpeech)
    2. Coqui TTS (coqui-ai/TTS)
    3. Llama.cpp (ggerganov/llama.cpp)
    4. PyAudio (PyAudio/PyAudio)
    5. SoundDevice (spatialaudio/python-sounddevice)
    6. Python
    7. Whisper.cpp (ggerganov/whisper.cpp)
    8. Rhino Speech-to-Intent (Picovoice/rhino)
    9. Mycroft Mimic 3 (MycroftAI/mimic3)
    10. Vosk (alphacep/vosk-api)
    11. Open Assistant (LAION-AI/Open-Assistant)
    12. Hugging Face Transformers (huggingface/transformers)
    13. asyncio
    14. Picovoice Porcupine (Picovoice/porcupine)
    15. Mycroft Precise (MycroftAI/precise)
    16. SpeechRecognition (Uberi/speech_recognition)

    AI recommended 16 alternatives but never named lhl/voicechat2. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Seeking an open-source framework for low-latency, modular voice chat with local speech processing.
    you: not recommended
    AI recommended (in order):
    1. Mumble
    2. FreeSWITCH
    3. Asterisk
    4. WebRTC
    5. Jitsi Meet
    6. simple-peer
    7. Opus

    AI recommended 7 alternatives but never named lhl/voicechat2. 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 lhl/voicechat2?
    pass
    AI named lhl/voicechat2 explicitly

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

  • If a team adopts lhl/voicechat2 in production, what risks or prerequisites should they evaluate first?
    pass
    AI named lhl/voicechat2 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 lhl/voicechat2 solve, and who is the primary audience?
    pass
    AI named lhl/voicechat2 explicitly

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

Embed your GEO score

Drop this badge into the README of lhl/voicechat2. It auto-updates whenever the report is rescanned and links back to the latest report — easy public proof that you care about AI discoverability.

RepoGEO badge previewLive preview
MARKDOWN (README)
[![RepoGEO](https://repogeo.com/badge/lhl/voicechat2.svg)](https://repogeo.com/en/r/lhl/voicechat2)
HTML
<a href="https://repogeo.com/en/r/lhl/voicechat2"><img src="https://repogeo.com/badge/lhl/voicechat2.svg" alt="RepoGEO" /></a>
Pro

Subscribe to Pro for deep diagnoses

lhl/voicechat2 — 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