RRepoGEO

REPOGEO REPORT · LITE

TEN-framework/ten-vad

Default branch main · commit 22a3bcd4 · scanned 6/25/2026, 4:52:03 AM

GitHub: 2,171 stars · 170 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)

3 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 TEN-framework/ten-vad, 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 core value proposition to the top of the README

    Why:

    CURRENT
    The README currently starts with badges and 'Latest News 🔥'.
    COPY-PASTE FIX
    Add a concise, benefit-driven sentence or two right after the main title, e.g., 'TEN-VAD is a state-of-the-art Voice Activity Detector (VAD) optimized for exceptionally small model sizes and extremely low computational cost, making it ideal for low-latency, high-performance real-time speech processing on resource-constrained edge devices and conversational AI applications.'
  • mediumtopics#2
    Add specific topics related to edge and resource-constrained environments

    Why:

    CURRENT
    audio, automatic-speech-recognition, conversational-ai, real-time, silero-vad, speech, speech-processing, vad, voice-activity-detection, voice-agent, voice-commands, voice-recognition
    COPY-PASTE FIX
    audio, automatic-speech-recognition, conversational-ai, real-time, silero-vad, speech, speech-processing, vad, voice-activity-detection, voice-agent, voice-commands, voice-recognition, edge-computing, embedded-systems, resource-constrained
  • mediumlicense#3
    Clarify the existing license in the README

    Why:

    COPY-PASTE FIX
    Add a section or line in the README, e.g., 'This project is licensed under the terms specified in the `LICENSE` file. Please refer to the `LICENSE` file for full details on usage and distribution.'

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-vad
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Silero VAD
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. Silero VAD · recommended 2×
  2. Picovoice Porcupine · recommended 2×
  3. WebRTC VAD · recommended 1×
  4. Vosk VAD · recommended 1×
  5. OpenVAD · recommended 1×
  • CATEGORY QUERY
    Seeking a low-latency voice activity detection library for real-time conversational AI applications.
    you: not recommended
    AI recommended (in order):
    1. WebRTC VAD
    2. Silero VAD
    3. Vosk VAD
    4. Picovoice Porcupine
    5. OpenVAD

    AI recommended 5 alternatives but never named TEN-framework/ten-vad. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What are some high-performance, lightweight VAD solutions compatible with Python and Go?
    you: not recommended
    AI recommended (in order):
    1. WebRTC VAD (gordonklaus/webrtcvad)
    2. Silero VAD
    3. Picovoice Porcupine
    4. Mozilla DeepSpeech
    5. PyTorch Audio (torchaudio)
    6. Kaldi

    AI recommended 6 alternatives but never named TEN-framework/ten-vad. 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-vad?
    pass
    AI named TEN-framework/ten-vad explicitly

    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-vad in production, what risks or prerequisites should they evaluate first?
    pass
    AI named TEN-framework/ten-vad 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-vad solve, and who is the primary audience?
    pass
    AI named TEN-framework/ten-vad explicitly

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

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TEN-framework/ten-vad — 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