RRepoGEO

REPOGEO REPORT · LITE

pipecat-ai/smart-turn

Default branch main · commit 4786657e · scanned 5/29/2026, 4:23:23 PM

GitHub: 1,400 stars · 86 forks

AI VISIBILITY SCORE
23 /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
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 pipecat-ai/smart-turn, 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
  • hightopics#1
    Add specific topics to improve categorization

    Why:

    COPY-PASTE FIX
    conversational-ai, voice-ai, turn-detection, vad, speech-processing, multilingual, real-time, machine-learning, audio-processing
  • highabout#2
    Add a concise repository description

    Why:

    COPY-PASTE FIX
    An open-source, multilingual native audio turn detection model for conversational AI, offering human-like turn-taking beyond Voice Activity Detection (VAD).
  • highreadme#3
    Reposition the README's opening to clarify unique value

    Why:

    CURRENT
    # Smart Turn v3.2

An open source, community-driven, native audio turn detection model.
    COPY-PASTE FIX
    # Smart Turn v3.2: Multilingual Turn Detection for Conversational AI (Beyond VAD)

Smart Turn is an open-source, community-driven native audio turn detection model that enables conversational AI agents to achieve more human-like turn-taking, going beyond simple Voice Activity Detection (VAD). It's specifically designed for real-time voice AI applications requiring advanced, multilingual turn management.

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 pipecat-ai/smart-turn
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
OpenAI GPT-4
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. OpenAI GPT-4 · recommended 1×
  2. Claude 3 · recommended 1×
  3. Gemini 1.5 Pro · recommended 1×
  4. Rasa · recommended 1×
  5. Google Dialogflow · recommended 1×
  • CATEGORY QUERY
    How to improve conversational AI agent turn-taking beyond basic voice activity detection?
    you: not recommended
    AI recommended (in order):
    1. OpenAI GPT-4
    2. Claude 3
    3. Gemini 1.5 Pro
    4. Rasa
    5. Google Dialogflow
    6. Amazon Lex
    7. AWS Lambda
    8. Microsoft Bot Framework Composer
    9. LUIS
    10. QnA Maker
    11. OpenAI Whisper
    12. Mozilla DeepSpeech
    13. spaCy
    14. NLTK
    15. scikit-learn

    AI recommended 15 alternatives but never named pipecat-ai/smart-turn. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Need a multilingual model for advanced turn detection in real-time voice AI applications.
    you: not recommended
    AI recommended (in order):
    1. NVIDIA Riva
    2. Google Cloud Speech-to-Text
    3. Amazon Transcribe
    4. Microsoft Azure Cognitive Services Speech
    5. AssemblyAI
    6. Deepgram

    AI recommended 6 alternatives but never named pipecat-ai/smart-turn. 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 pipecat-ai/smart-turn?
    pass
    AI did not name pipecat-ai/smart-turn — 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 pipecat-ai/smart-turn in production, what risks or prerequisites should they evaluate first?
    pass
    AI named pipecat-ai/smart-turn 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 pipecat-ai/smart-turn solve, and who is the primary audience?
    pass
    AI named pipecat-ai/smart-turn 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 pipecat-ai/smart-turn. 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/pipecat-ai/smart-turn"><img src="https://repogeo.com/badge/pipecat-ai/smart-turn.svg" alt="RepoGEO" /></a>
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pipecat-ai/smart-turn — 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