RRepoGEO

REPOGEO REPORT · LITE

opendilab/CleanS2S

Default branch main · commit 5b6bc398 · scanned 6/2/2026, 6:13:28 AM

GitHub: 526 stars · 53 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 opendilab/CleanS2S, 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's first sentence to clarify core purpose

    Why:

    CURRENT
    **CleanS2S** is a Speech-to-Speech (**S2S**) prototype agent that provides high-quality and streaming interactions in the single-file implementation.
    COPY-PASTE FIX
    **CleanS2S** is a **full-duplex, streaming Speech-to-Speech (S2S) interactive agent framework** designed for high-quality, GPT-4o style conversational experiences, implemented in a single file.
  • mediumhomepage#2
    Add the repository URL as the homepage

    Why:

    COPY-PASTE FIX
    https://github.com/opendilab/CleanS2S
  • lowtopics#3
    Add more specific topics related to conversational AI and full-duplex interaction

    Why:

    CURRENT
    ai, gpt-4o, machine-learning, python, speech-recognition, speech-synthesis, speech-to-speech, streaming
    COPY-PASTE FIX
    ai, gpt-4o, machine-learning, python, speech-recognition, speech-synthesis, speech-to-speech, streaming, conversational-ai, full-duplex, interactive-agent

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 opendilab/CleanS2S
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. Google Cloud Speech-to-Text · recommended 2×
  3. OpenAI Whisper · recommended 2×
  4. ElevenLabs · recommended 2×
  5. Google Cloud Dialogflow CX · recommended 1×
  • CATEGORY QUERY
    How can I build a real-time, full-duplex speech-to-speech interactive agent?
    you: not recommended
    AI recommended (in order):
    1. Google Cloud Dialogflow CX
    2. Google Cloud Text-to-Speech
    3. Google Cloud Speech-to-Text
    4. Amazon Lex
    5. Amazon Polly
    6. Amazon Transcribe
    7. Microsoft Azure Bot Service
    8. Azure Cognitive Services Speech
    9. Azure Cognitive Services Language
    10. Azure Language Understanding (LUIS)
    11. Rasa Open Source
    12. Vosk
    13. Mozilla DeepSpeech
    14. Coqui TTS
    15. Tacotron 2
    16. WaveNet
    17. NVIDIA Riva
    18. OpenAI Whisper
    19. OpenAI GPT-3.5
    20. OpenAI GPT-4
    21. ElevenLabs

    AI recommended 21 alternatives but never named opendilab/CleanS2S. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Looking for a Python library to create a streaming, high-quality speech assistant with proactive capabilities.
    you: not recommended
    AI recommended (in order):
    1. OpenAI API
    2. GPT-4o
    3. OpenAI Whisper
    4. Google Cloud Speech-to-Text
    5. Google Cloud Text-to-Speech
    6. Google Gemini API
    7. AssemblyAI
    8. ElevenLabs
    9. Anthropic Claude
    10. Deepgram
    11. Llama 3
    12. Together.ai
    13. Anyscale Endpoints
    14. Picovoice
    15. llama.cpp
    16. Ollama

    AI recommended 16 alternatives but never named opendilab/CleanS2S. 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 opendilab/CleanS2S?
    pass
    AI named opendilab/CleanS2S explicitly

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

  • If a team adopts opendilab/CleanS2S in production, what risks or prerequisites should they evaluate first?
    pass
    AI named opendilab/CleanS2S 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 opendilab/CleanS2S solve, and who is the primary audience?
    pass
    AI named opendilab/CleanS2S 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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MARKDOWN (README)
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opendilab/CleanS2S — 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