RRepoGEO

REPOGEO REPORT · LITE

k2-fsa/ZipVoice

Default branch master · commit 2f7326fb · scanned 6/13/2026, 6:07:43 AM

GitHub: 989 stars · 138 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 k2-fsa/ZipVoice, 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 relevant topics to the repository

    Why:

    COPY-PASTE FIX
    text-to-speech, tts, zero-shot, speech-synthesis, flow-matching, deep-learning, audio, voice-generation, real-time
  • highreadme#2
    Reposition the README's opening to clearly state its core function

    Why:

    CURRENT
    The current README excerpt starts with language selection, not a clear statement of purpose.
    COPY-PASTE FIX
    ZipVoice is a cutting-edge Text-to-Speech (TTS) system designed for fast, high-quality, and zero-shot voice generation using advanced flow matching techniques. It enables efficient real-time speech synthesis without requiring specific voice samples.
  • mediumreadme#3
    Emphasize efficiency and real-time capabilities in the README

    Why:

    COPY-PASTE FIX
    Leveraging flow matching, ZipVoice achieves significantly reduced computational cost and faster inference, making it an ideal solution for real-time applications requiring efficient and high-quality voice synthesis.

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 k2-fsa/ZipVoice
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. Amazon Polly · recommended 2×
  3. Microsoft Azure Text to Speech · recommended 2×
  4. ElevenLabs · recommended 2×
  5. IBM Watson Text to Speech · recommended 1×
  • CATEGORY QUERY
    How can I generate high-quality speech from text without needing voice samples?
    you: not recommended
    AI recommended (in order):
    1. Google Cloud Text-to-Speech
    2. Amazon Polly
    3. Microsoft Azure Text to Speech
    4. ElevenLabs
    5. IBM Watson Text to Speech
    6. Resemble.ai

    AI recommended 6 alternatives but never named k2-fsa/ZipVoice. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What are efficient text-to-speech solutions for real-time voice synthesis applications?
    you: not recommended
    AI recommended (in order):
    1. Google Cloud Text-to-Speech
    2. Amazon Polly
    3. Microsoft Azure Text to Speech
    4. ElevenLabs
    5. Resemble AI
    6. DeepMotion
    7. Mozilla TTS (mozilla/TTS)

    AI recommended 7 alternatives but never named k2-fsa/ZipVoice. 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 k2-fsa/ZipVoice?
    pass
    AI named k2-fsa/ZipVoice explicitly

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

  • If a team adopts k2-fsa/ZipVoice in production, what risks or prerequisites should they evaluate first?
    pass
    AI named k2-fsa/ZipVoice 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 k2-fsa/ZipVoice solve, and who is the primary audience?
    pass
    AI named k2-fsa/ZipVoice 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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k2-fsa/ZipVoice — Lite scans stay free; this card itemizes Pro deep limits vs Lite.

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  • Brand-free category queries5 vs 2 in Lite
  • Prioritized action items8 vs 3 in Lite