RRepoGEO

REPOGEO REPORT · LITE

modal-labs/quillman

Default branch main · commit 7ed27b44 · scanned 7/1/2026, 7:13:20 PM

GitHub: 1,208 stars · 158 forks

Scan history for this repo

Score trend below includes all ready runs (older left, newer right; scroll horizontally if needed). The table is collapsed by default—expand for newest-first rows, 10 per page.

Score trend (left → right: older → newer)

2 ready scans. Expand the table below for newest-first rows (10 per page, paginated).

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 modal-labs/quillman, 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
    Reposition the README H1 and opening paragraph to emphasize 'real-time voice chat app example'

    Why:

    CURRENT
    # QuiLLMan: Voice Chat with Moshi

A complete voice chat app powered by a speech-to-speech language model and bidirectional streaming.
    COPY-PASTE FIX
    # QuiLLMan: A Real-time Voice Chat App Example with Moshi

This repository provides a complete, real-time voice chat application powered by a speech-to-speech language model and bidirectional streaming. It serves as a robust starting point for building your own interactive voice AI assistants.
  • hightopics#2
    Add more specific topics related to real-time voice AI and examples

    Why:

    CURRENT
    ai, language-model, python, serverless, speech-recognition, speech-to-text
    COPY-PASTE FIX
    ai, language-model, python, serverless, speech-recognition, speech-to-text, real-time, voice-ai, voice-assistant, example
  • mediumabout#3
    Refine the 'About' description to highlight its nature as a real-time voice chat application example

    Why:

    CURRENT
    A voice chat app
    COPY-PASTE FIX
    A complete, real-time voice chat application example powered by a speech-to-speech language model, ideal for building interactive voice AI assistants.

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 modal-labs/quillman
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Google Cloud Speech-to-Text API
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. Google Cloud Speech-to-Text API · recommended 1×
  2. Google Cloud Text-to-Speech API · recommended 1×
  3. Google Cloud Dialogflow · recommended 1×
  4. WebRTC · recommended 1×
  5. feross/simple-peer · recommended 1×
  • CATEGORY QUERY
    How to build a real-time voice chat application using AI speech models?
    you: not recommended
    AI recommended (in order):
    1. Google Cloud Speech-to-Text API
    2. Google Cloud Text-to-Speech API
    3. Google Cloud Dialogflow
    4. WebRTC
    5. simple-peer (feross/simple-peer)
    6. Jitsi Meet (jitsi/jitsi-meet)
    7. Firebase Realtime Database
    8. Cloud Firestore
    9. Amazon Transcribe
    10. Amazon Polly
    11. Amazon Lex
    12. AWS Chime SDK
    13. Azure Cognitive Services Speech-to-Text
    14. Azure Cognitive Services Text-to-Speech
    15. Azure Bot Service
    16. Language Understanding (LUIS)
    17. Azure Communication Services
    18. Deepgram
    19. ElevenLabs
    20. spaCy (explosion/spaCy)
    21. Hugging Face Transformers (huggingface/transformers)
    22. AssemblyAI
    23. Play.ht
    24. Vosk (alphacep/vosk-api)
    25. Whisper (openai/whisper)
    26. Coqui TTS (coqui-ai/TTS)
    27. Rasa (RasaHQ/rasa)
    28. coturn (coturn/coturn)

    AI recommended 28 alternatives but never named modal-labs/quillman. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Seeking a Python serverless framework for developing interactive voice AI assistants.
    you: not recommended
    AI recommended (in order):
    1. AWS Chalice
    2. Serverless Framework
    3. Zappa
    4. AWS SAM
    5. Google Cloud Functions

    AI recommended 5 alternatives but never named modal-labs/quillman. 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 modal-labs/quillman?
    pass
    AI named modal-labs/quillman explicitly

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

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

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

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modal-labs/quillman — 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