RRepoGEO

REPOGEO REPORT · LITE

fishaudio/Bert-VITS2

Default branch master · commit 8f7fbd8c · scanned 5/20/2026, 8:47:11 PM

GitHub: 8,743 stars · 1,286 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)

2 ready scans. Expand the table below for newest-first rows (10 per page, paginated).

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 fishaudio/Bert-VITS2, 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 deprecation notice and clarify project status

    Why:

    CURRENT
    ## 【项目推介】
    # FishAudio下的全新自回归TTS Fish-Speech现已可用,效果为目前开源SOTA水准,且在持续维护,推荐使用该项目作为BV2/GSV的替代。本项目短期内不再进行维护。
    COPY-PASTE FIX
    Move the deprecation notice and recommendation for Fish-Speech to a 'Status' or 'Note' section *after* the main project description and features. The initial section should focus on what Bert-VITS2 *is* and *does* (e.g., 'Bert-VITS2 is an advanced text-to-speech framework integrating a VITS2 backbone with multilingual BERT for high-fidelity, multi-speaker, and cross-lingual speech synthesis.').
  • highhomepage#2
    Add a homepage URL to the repository metadata

    Why:

    COPY-PASTE FIX
    Add `https://github.com/fishaudio/Bert-VITS2` (or a more appropriate project page if one exists) as the homepage URL in the repository settings.
  • mediumreadme#3
    Expand the README's initial description to highlight core capabilities

    Why:

    CURRENT
    # Bert-VITS2
    VITS2 Backbone with multilingual bert
    COPY-PASTE FIX
    # Bert-VITS2
    An advanced text-to-speech (TTS) framework that integrates the VITS2 backbone with multilingual BERT, enabling high-fidelity, multi-speaker, and cross-lingual speech synthesis. This project focuses on generating natural-sounding speech with enhanced prosody and expressiveness.

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 fishaudio/Bert-VITS2
Avg rank
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Mozilla TTS
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. Mozilla TTS · recommended 1×
  2. Coqui TTS · recommended 1×
  3. ESPnet · recommended 1×
  4. Mycroft Mimic 3 · recommended 1×
  5. OpenVINO™ Toolkit · recommended 1×
  • CATEGORY QUERY
    Looking for an open-source solution to synthesize high-quality, natural-sounding speech in multiple languages.
    you: not recommended
    AI recommended (in order):
    1. Mozilla TTS
    2. Coqui TTS
    3. ESPnet
    4. Mycroft Mimic 3
    5. OpenVINO™ Toolkit

    AI recommended 5 alternatives but never named fishaudio/Bert-VITS2. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Which advanced text-to-speech frameworks offer high-fidelity voice generation using modern neural networks?
    you: not recommended
    AI recommended (in order):
    1. Google Cloud Text-to-Speech
    2. Amazon Polly
    3. Microsoft Azure AI Speech
    4. ElevenLabs
    5. Meta Voicebox
    6. OpenAI TTS
    7. Coqui TTS (coqui-ai/TTS)

    AI recommended 7 alternatives but never named fishaudio/Bert-VITS2. 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 fishaudio/Bert-VITS2?
    pass
    AI named fishaudio/Bert-VITS2 explicitly

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

  • If a team adopts fishaudio/Bert-VITS2 in production, what risks or prerequisites should they evaluate first?
    pass
    AI named fishaudio/Bert-VITS2 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 fishaudio/Bert-VITS2 solve, and who is the primary audience?
    pass
    AI named fishaudio/Bert-VITS2 explicitly

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

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fishaudio/Bert-VITS2 — 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