RRepoGEO

REPOGEO REPORT · LITE

High-Logic/Genie-TTS

Default branch master · commit 0ad8b386 · scanned 5/18/2026, 3:07:02 AM

GitHub: 1,545 stars · 108 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 High-Logic/Genie-TTS, 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
  • highhomepage#1
    Add a homepage URL to the repository metadata

    Why:

    COPY-PASTE FIX
    Add a link to a project website, demo page, or documentation portal that serves as the official homepage for Genie-TTS.
  • highreadme#2
    Clarify the README's opening statement to emphasize its specialized role

    Why:

    CURRENT
    # 🔮 GENIE: GPT-SoVITS Lightweight Inference Engine

**Experience near-instantaneous speech synthesis on your CPU**

[简体中文](./README_zh.md) | [English](./README.md)

</div>

GENIE** is a lightweight inference engine built on the open-source TTS project GPT-SoVITS.
    COPY-PASTE FIX
    # 🔮 GENIE: GPT-SoVITS Lightweight Inference Engine

**Experience near-instantaneous speech synthesis on your CPU**

[简体中文](./README_zh.md) | [English](./README.md)

</div>

GENIE is a **specialized, high-performance inference engine** for GPT-SoVITS, designed for **near-instantaneous, CPU-optimized text-to-speech and voice cloning** with ONNX model conversion.
  • mediumtopics#3
    Add more specific and differentiating topics

    Why:

    CURRENT
    gpt-sovits, text-to-speech, tts, vits, voice-clone, voice-cloning
    COPY-PASTE FIX
    gpt-sovits, text-to-speech, tts, vits, voice-clone, voice-cloning, onnx-inference, cpu-optimization, speech-synthesis-engine, real-time-tts

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 High-Logic/Genie-TTS
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
PyTorch
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. PyTorch · recommended 2×
  2. OpenVINO Toolkit · recommended 2×
  3. TensorFlow · recommended 2×
  4. Coqui TTS · recommended 1×
  5. Mycroft Mimic 3 · recommended 1×
  • CATEGORY QUERY
    What are efficient text-to-speech solutions for voice cloning on a CPU?
    you: not recommended
    AI recommended (in order):
    1. Coqui TTS
    2. Mycroft Mimic 3
    3. ESPnet
    4. PyTorch
    5. OpenVINO Toolkit
    6. Tacotron 2
    7. FastSpeech
    8. TensorFlow

    AI recommended 8 alternatives but never named High-Logic/Genie-TTS. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    How can I convert voice synthesis models to ONNX for faster multi-language inference?
    you: not recommended
    AI recommended (in order):
    1. PyTorch
    2. TensorFlow
    3. ONNX Runtime
    4. OpenVINO Toolkit
    5. NVIDIA TensorRT
    6. Optimum
    7. ONNX GraphSurgeon

    AI recommended 7 alternatives but never named High-Logic/Genie-TTS. 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 High-Logic/Genie-TTS?
    pass
    AI named High-Logic/Genie-TTS explicitly

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

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

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

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High-Logic/Genie-TTS — 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