RRepoGEO

REPOGEO REPORT · LITE

jing332/tts-server-android

Default branch compose · commit 49b4a7c3 · scanned 5/11/2026, 8:27:19 AM

GitHub: 4,375 stars · 395 forks

AI VISIBILITY SCORE
28 /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
2 / 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 jing332/tts-server-android, 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
    Clarify the repository's core identity as an Android TTS server application in the README's opening.

    Why:

    CURRENT
    # TTS Server
    COPY-PASTE FIX
    # TTS Server for Android: Turn Your Device into a Customizable Text-to-Speech Server

This project is an Android application that transforms your device into a powerful, customizable Text-to-Speech (TTS) server. It supports multiple TTS engines, custom HTTP requests, dialogue recognition, and more, making your Android device a versatile local TTS backend.
  • highlicense#2
    Add a LICENSE file to the repository.

    Why:

    COPY-PASTE FIX
    Create a LICENSE file (e.g., MIT, Apache-2.0, GPL-3.0) in the repository root to clearly state the project's licensing terms.
  • mediumhomepage#3
    Add a homepage URL to the repository's 'About' section.

    Why:

    COPY-PASTE FIX
    Add a relevant URL (e.g., a project website, documentation, or a demo page) to the 'Homepage' field in the repository's 'About' section.

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 jing332/tts-server-android
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 2 of 2 queries
COMPETITOR LEADERBOARD
  1. Google Cloud Text-to-Speech API · recommended 2×
  2. Amazon Polly · recommended 2×
  3. NanoHttpd · recommended 1×
  4. Ktor · recommended 1×
  5. Microsoft Azure Cognitive Services Speech · recommended 1×
  • CATEGORY QUERY
    How can I set up a customizable text-to-speech server on Android with multiple engine support?
    you: not recommended
    AI recommended (in order):
    1. NanoHttpd
    2. Ktor
    3. Google Cloud Text-to-Speech API
    4. Amazon Polly
    5. Microsoft Azure Cognitive Services Speech
    6. Rhino Speech-to-Text Engine

    AI recommended 6 alternatives but never named jing332/tts-server-android. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What Android text-to-speech solutions offer advanced features like dialogue recognition and custom backends?
    you: not recommended
    AI recommended (in order):
    1. Google Cloud Text-to-Speech API
    2. Amazon Polly
    3. Microsoft Azure Cognitive Services - Speech
    4. TensorFlow
    5. PyTorch
    6. Tacotron 2
    7. WaveNet
    8. HiFi-GAN
    9. Coqui TTS
    10. ElevenLabs

    AI recommended 10 alternatives but never named jing332/tts-server-android. 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 jing332/tts-server-android?
    pass
    AI named jing332/tts-server-android explicitly

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

  • If a team adopts jing332/tts-server-android in production, what risks or prerequisites should they evaluate first?
    pass
    AI named jing332/tts-server-android 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 jing332/tts-server-android solve, and who is the primary audience?
    pass
    AI did not name jing332/tts-server-android — likely talking about a different project

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

Embed your GEO score

Drop this badge into the README of jing332/tts-server-android. It auto-updates whenever the report is rescanned and links back to the latest report — easy public proof that you care about AI discoverability.

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jing332/tts-server-android — 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