RRepoGEO

REPOGEO REPORT · LITE

X-T-E-R/Uni-TTS

Default branch master · commit 3eb56eca · scanned 6/7/2026, 7:11:50 AM

GitHub: 767 stars · 62 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 X-T-E-R/Uni-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

2 prioritized changes generated by gemini-2.5-flash. Mark items done after you ship the fix.

OVERALL DIRECTION
  • hightopics#1
    Add relevant topics to improve categorization

    Why:

    COPY-PASTE FIX
    text-to-speech, tts, voice-synthesis, speech-synthesis, api-adapter, fastapi, gpt-sovits, python
  • mediumreadme#2
    Clarify project type and value proposition in README opening

    Why:

    CURRENT
    本项目意图在于让使用各类语音合成引擎的方式变得统一，支持多种语音合成引擎适配器，允许直接作为模组使用或启动后端服务。
    COPY-PASTE FIX
    Uni-TTS is an open-source framework designed to unify and simplify the integration of various text-to-speech (TTS) engines. It provides a consistent API layer, allowing developers to use multiple TTS engine adapters as a Python module or deploy them as a backend service, offering a self-hosted alternative to commercial cloud TTS APIs.

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 X-T-E-R/Uni-TTS
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 API
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. Google Cloud Text-to-Speech API · recommended 1×
  2. Amazon Polly · recommended 1×
  3. Azure Cognitive Services Speech · recommended 1×
  4. Speechly · recommended 1×
  5. Voice RSS Text-to-Speech API · recommended 1×
  • CATEGORY QUERY
    How can I integrate multiple text-to-speech engines with a unified API for my application?
    you: not recommended
    AI recommended (in order):
    1. Google Cloud Text-to-Speech API
    2. Amazon Polly
    3. Azure Cognitive Services Speech
    4. Speechly
    5. Voice RSS Text-to-Speech API
    6. gTTS
    7. pyttsx3

    AI recommended 7 alternatives but never named X-T-E-R/Uni-TTS. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What tools help create a web service for various voice synthesis models?
    you: not recommended
    AI recommended (in order):
    1. FastAPI
    2. Python
    3. Flask
    4. Flask-RESTful
    5. Marshmallow
    6. Node.js
    7. Express.js
    8. Go
    9. Gin
    10. Docker
    11. Kubernetes
    12. Hugging Face Transformers
    13. Coqui TTS
    14. ESPnet

    AI recommended 14 alternatives but never named X-T-E-R/Uni-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 X-T-E-R/Uni-TTS?
    pass
    AI named X-T-E-R/Uni-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 X-T-E-R/Uni-TTS in production, what risks or prerequisites should they evaluate first?
    pass
    AI named X-T-E-R/Uni-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 X-T-E-R/Uni-TTS solve, and who is the primary audience?
    pass
    AI named X-T-E-R/Uni-TTS 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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X-T-E-R/Uni-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