RRepoGEO

REPOGEO REPORT · LITE

High-Logic/Genie-TTS

Default branch master · commit 0ad8b386 · scanned 6/29/2026, 8:41:35 AM

GitHub: 1,614 stars · 112 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's About section

    Why:

    COPY-PASTE FIX
    https://github.com/High-Logic/Genie-TTS
  • highreadme#2
    Reposition the README's introductory paragraph to highlight core differentiators

    Why:

    CURRENT
    GENIE** is a lightweight inference engine built on the open-source TTS project GPT-SoVITS. It integrates TTS inference, ONNX model conversion, API server, and other core features, aiming to provide ultimate performance and convenience.
    COPY-PASTE FIX
    GENIE is a **high-performance, lightweight ONNX inference engine** specifically designed for GPT-SoVITS, enabling **near-instantaneous, CPU-optimized speech synthesis and voice cloning** with minimal resource overhead. It integrates TTS inference, ONNX model conversion, and an API server to provide ultimate performance and convenience for developers.
  • mediumtopics#3
    Add more specific topics to improve keyword matching

    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-engine, cpu-optimization, 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
Mozilla TTS (Coqui TTS)
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. Mozilla TTS (Coqui TTS) · recommended 1×
  2. ESPnet · recommended 1×
  3. Tacotron 2 / WaveGlow · recommended 1×
  4. MaryTTS · recommended 1×
  5. eSpeak NG · recommended 1×
  • CATEGORY QUERY
    Looking for a lightweight text-to-speech inference engine optimized for CPU performance.
    you: not recommended
    AI recommended (in order):
    1. Mozilla TTS (Coqui TTS)
    2. ESPnet
    3. Tacotron 2 / WaveGlow
    4. MaryTTS
    5. eSpeak NG

    AI recommended 5 alternatives but never named High-Logic/Genie-TTS. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    How can I perform fast voice cloning and speech synthesis across multiple languages?
    you: not recommended
    AI recommended (in order):
    1. ElevenLabs
    2. Google Cloud Text-to-Speech
    3. Microsoft Azure AI Speech
    4. Resemble.ai
    5. Meta Voicebox
    6. MyShell.ai

    AI recommended 6 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