RRepoGEO

REPOGEO REPORT · LITE

TEN-framework/ten-turn-detection

Default branch main · commit ea9a167c · scanned 6/12/2026, 10:43:25 PM

GitHub: 579 stars · 39 forks

AI VISIBILITY SCORE
33 /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
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 TEN-framework/ten-turn-detection, 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 introduction to highlight core problem and audience

    Why:

    CURRENT
    TEN is an open-source framework for conversational voice AI agents.
    COPY-PASTE FIX
    TEN Turn Detection provides robust, real-time speaker turn detection specifically for full-duplex dialogue, enabling advanced conversational AI agents and seamless large language model interactions.
  • highlicense#2
    Clarify the project's license in the README

    Why:

    COPY-PASTE FIX
    The TEN Turn Detection project is licensed under [Insert specific license name(s) here, e.g., Apache 2.0 and MIT]. Please refer to the [LICENSE](./LICENSE) file for full details.
  • mediumcomparison#3
    Add a section highlighting TEN Turn Detection's unique differentiators

    Why:

    COPY-PASTE FIX
    ## Why TEN Turn Detection?
Unlike general Voice Activity Detection (VAD) tools or broad Speech-to-Text APIs, TEN Turn Detection is specifically engineered for the complexities of full-duplex, real-time dialogue. It excels at accurately identifying speaker turns even with overlapping speech, making it ideal for integrating with large language models and building highly responsive conversational AI agents.

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 TEN-framework/ten-turn-detection
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
NVIDIA Riva
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. NVIDIA Riva · recommended 2×
  2. Google Cloud Speech-to-Text API · recommended 2×
  3. Amazon Transcribe · recommended 2×
  4. WebRTC VAD · recommended 1×
  5. Silero VAD · recommended 1×
  • CATEGORY QUERY
    How to implement real-time speaker turn detection for full-duplex conversational AI?
    you: not recommended
    AI recommended (in order):
    1. NVIDIA Riva
    2. Google Cloud Speech-to-Text API
    3. Amazon Transcribe
    4. WebRTC VAD
    5. Silero VAD
    6. Vosk
    7. Whisper
    8. Microsoft Azure Cognitive Services - Speech

    AI recommended 8 alternatives but never named TEN-framework/ten-turn-detection. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What tools help identify speaker turns in real-time for large language model interactions?
    you: not recommended
    AI recommended (in order):
    1. NVIDIA Riva
    2. Google Cloud Speech-to-Text API
    3. Amazon Transcribe
    4. Azure Cognitive Services Speech
    5. AssemblyAI
    6. Deepgram
    7. OpenAI Whisper
    8. pyannote.audio
    9. NVIDIA NeMo

    AI recommended 9 alternatives but never named TEN-framework/ten-turn-detection. 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 TEN-framework/ten-turn-detection?
    pass
    AI did not name TEN-framework/ten-turn-detection — 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 TEN-framework/ten-turn-detection in production, what risks or prerequisites should they evaluate first?
    pass
    AI named TEN-framework/ten-turn-detection 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 TEN-framework/ten-turn-detection solve, and who is the primary audience?
    pass
    AI named TEN-framework/ten-turn-detection 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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TEN-framework/ten-turn-detection — 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