RRepoGEO

REPOGEO REPORT · LITE

supertone-inc/supertonic

Default branch main · commit 0a98c9f1 · scanned 5/11/2026, 2:27:07 AM

GitHub: 2,910 stars · 261 forks

AI VISIBILITY SCORE
40 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
2 pass · 0 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 supertone-inc/supertonic, 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
  • highabout#1
    Clarify the 'about' description to explicitly state its domain and differentiate from misinterpretations

    Why:

    CURRENT
    Lightning-Fast, On-Device, Multilingual TTS — running natively via ONNX.
    COPY-PASTE FIX
    Supertonic: Lightning-Fast, On-Device, Multilingual Text-to-Speech (TTS) engine for local inference via ONNX Runtime. Not for music analysis or NVIDIA TensorRT.
  • highreadme#2
    Reinforce the core identity and target audience in the README's opening paragraph

    Why:

    CURRENT
    **Supertonic** is a lightning-fast, on-device text-to-speech system designed for local inference with minimal overhead. Powered by ONNX Runtime, it runs entirely on your device—no cloud, no API calls, no privacy concerns.
    COPY-PASTE FIX
    **Supertonic** is your go-to lightning-fast, on-device, multilingual text-to-speech (TTS) system. Designed for local inference with minimal overhead, it runs entirely on your device via ONNX Runtime—no cloud, no API calls, no privacy concerns. This is a pure speech synthesis solution, not a music analysis tool or a TensorRT-specific library.
  • mediumtopics#3
    Add 'android' and 'speech-synthesis' to the repository topics

    Why:

    CURRENT
    cpp, csharp, go, ios, java, lightweight, nodejs, on-device, python, rust, swift, text-to-speech, tts, web
    COPY-PASTE FIX
    cpp, csharp, go, ios, java, lightweight, nodejs, on-device, python, rust, swift, text-to-speech, tts, web, android, speech-synthesis

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 supertone-inc/supertonic
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Apple Speech Framework
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. Apple Speech Framework · recommended 1×
  2. Android's Built-in TextToSpeech Engine · recommended 1×
  3. Mozilla TTS · recommended 1×
  4. Coqui TTS · recommended 1×
  5. eSpeak NG · recommended 1×
  • CATEGORY QUERY
    How to implement fast, on-device multilingual text-to-speech for mobile apps?
    you: not recommended
    AI recommended (in order):
    1. Apple Speech Framework
    2. Android's Built-in TextToSpeech Engine
    3. Mozilla TTS
    4. Coqui TTS
    5. eSpeak NG
    6. Pico TTS

    AI recommended 6 alternatives but never named supertone-inc/supertonic. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What are options for offline, privacy-focused text-to-speech synthesis with ONNX support?
    you: not recommended
    AI recommended (in order):
    1. Coqui TTS (coqui-ai/TTS)
    2. Mozilla TTS (mozilla/TTS)
    3. ESPnet (espnet/espnet)
    4. OpenVINO (openvinotoolkit/openvino)
    5. PyTorch (pytorch/pytorch)
    6. TensorFlow (tensorflow/tensorflow)

    AI recommended 6 alternatives but never named supertone-inc/supertonic. This is the gap to close.

    Show full AI answer

Objective checks

Rule-based audits of metadata signals AI engines weight most.

  • Metadata completeness
    pass

  • 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 supertone-inc/supertonic?
    pass
    AI named supertone-inc/supertonic explicitly

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

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

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

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supertone-inc/supertonic — 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