RRepoGEO

REPOGEO REPORT · LITE

isletennos/MMVC_Trainer

Default branch main · commit 5f6b7b0b · scanned 5/31/2026, 2:51:39 AM

GitHub: 931 stars · 79 forks

AI VISIBILITY SCORE
30 /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
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 isletennos/MMVC_Trainer, 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
    voice-conversion, real-time, ai-model-training, google-colab, voice-changer, machine-learning, deep-learning
  • highlicense#2
    Create a LICENSE file with the MIT license

    Why:

    COPY-PASTE FIX
    Create a LICENSE file in the repository root containing the standard MIT License text.
  • mediumhomepage#3
    Set the repository homepage URL

    Why:

    COPY-PASTE FIX
    https://www.nicovideo.jp/watch/sm40386035

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 isletennos/MMVC_Trainer
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
RVC
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. RVC · recommended 1×
  2. So-VITS-SVC · recommended 1×
  3. YourTTS · recommended 1×
  4. VITS · recommended 1×
  5. Tacotron 2 · recommended 1×
  • CATEGORY QUERY
    How can I train an AI model for real-time voice conversion with custom audio data?
    you: not recommended
    AI recommended (in order):
    1. RVC
    2. So-VITS-SVC
    3. YourTTS
    4. VITS
    5. Tacotron 2
    6. WaveGlow
    7. HiFi-GAN
    8. AutoVC

    AI recommended 8 alternatives but never named isletennos/MMVC_Trainer. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What are simple tools to create personalized voice changer models using cloud GPUs?
    you: not recommended
    AI recommended (in order):
    1. Google Colab Pro/Pro+
    2. Retrieval-based Voice Conversion (RVC)
    3. so-vits-svc
    4. RunPod.io
    5. Vast.ai
    6. Hugging Face Spaces
    7. Replicate

    AI recommended 7 alternatives but never named isletennos/MMVC_Trainer. 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 isletennos/MMVC_Trainer?
    pass
    AI named isletennos/MMVC_Trainer explicitly

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

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

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

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isletennos/MMVC_Trainer — 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