RRepoGEO

REPOGEO REPORT · LITE

KoljaB/RealtimeVoiceChat

Default branch main · commit 9de323f1 · scanned 5/25/2026, 9:43:14 PM

GitHub: 3,740 stars · 438 forks

AI VISIBILITY SCORE
17 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
1 pass · 0 warn · 1 fail
Objective metadata checks
AI knows your name
1 / 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/RealtimeVoiceChat, 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
  • highlicense#1
    Create a LICENSE file in the repository root

    Why:

    COPY-PASTE FIX
    Create a LICENSE file in the repository root. For example, you could choose the MIT License or Apache-2.0 License and add the full text to this file.
  • highreadme#2
    Reposition README opening to clarify project type and status

    Why:

    CURRENT
    This project lets you chat with a Large Language Model (LLM) using just your voice, receiving spoken responses in near real-time. Think of it as your own digital conversation partner.
    COPY-PASTE FIX
    This project provides a complete, real-time client-server system for natural voice conversations with an AI, enabling low-latency spoken interaction with Large Language Models (LLMs). It is currently community-driven and welcomes contributions.

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/RealtimeVoiceChat
Avg rank
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Google Cloud Text-to-Speech
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. Google Cloud Text-to-Speech · recommended 2×
  2. GPT-3.5 Turbo · recommended 2×
  3. ElevenLabs · recommended 2×
  4. Deepgram · recommended 2×
  5. Google Cloud Speech-to-Text · recommended 1×
  • CATEGORY QUERY
    How can I enable natural, real-time spoken conversations with an AI assistant?
    you: not recommended
    AI recommended (in order):
    1. Google Cloud Speech-to-Text
    2. Google Cloud Text-to-Speech
    3. Google Dialogflow CX
    4. Google Gemini API
    5. OpenAI Whisper
    6. OpenAI GPT-4
    7. GPT-3.5 Turbo
    8. ElevenLabs
    9. Amazon Transcribe
    10. Amazon Polly
    11. Amazon Lex
    12. Amazon Bedrock
    13. Claude
    14. Llama
    15. Azure Speech-to-Text
    16. Azure Text-to-Speech
    17. Azure Bot Service
    18. Azure OpenAI Service
    19. Deepgram
    20. Play.ht

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

    Show full AI answer
  • CATEGORY QUERY
    What are the best tools for building a low-latency voice chat with an LLM backend?
    you: not recommended
    AI recommended (in order):
    1. Twilio Programmable Voice
    2. Twilio Media Streams
    3. Deepgram
    4. AssemblyAI
    5. OpenAI API
    6. GPT-4o
    7. GPT-4
    8. GPT-3.5 Turbo
    9. Anthropic Claude
    10. Opus
    11. Sonnet
    12. Haiku
    13. ElevenLabs
    14. Google Cloud Text-to-Speech
    15. WaveNet
    16. WebRTC
    17. Daily.co
    18. Vonage Video API
    19. OpenTok
    20. Redis
    21. Kafka

    AI recommended 21 alternatives but never named KoljaB/RealtimeVoiceChat. This is the gap to close.

    Show full AI answer

Objective checks

Rule-based audits of metadata signals AI engines weight most.

  • Metadata completeness
    fail

    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/RealtimeVoiceChat?
    pass
    AI did not name KoljaB/RealtimeVoiceChat — 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/RealtimeVoiceChat in production, what risks or prerequisites should they evaluate first?
    pass
    AI named KoljaB/RealtimeVoiceChat 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/RealtimeVoiceChat solve, and who is the primary audience?
    pass
    AI did not name KoljaB/RealtimeVoiceChat — 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?

Embed your GEO score

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

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MARKDOWN (README)
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HTML
<a href="https://repogeo.com/en/r/KoljaB/RealtimeVoiceChat"><img src="https://repogeo.com/badge/KoljaB/RealtimeVoiceChat.svg" alt="RepoGEO" /></a>
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KoljaB/RealtimeVoiceChat — 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