RRepoGEO

REPOGEO REPORT · LITE

ekwek1/soprano

Default branch main · commit 12fac06e · scanned 5/10/2026, 3:12:55 PM

GitHub: 1,228 stars · 106 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 ekwek1/soprano, 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
    Add an explicit introductory sentence to the README

    Why:

    COPY-PASTE FIX
    Soprano is a cutting-edge, ultra-lightweight text-to-speech (TTS) model designed for instant, ultra-realistic speech synthesis on-device. It is not a web framework.
  • mediumtopics#2
    Expand GitHub topics with more specific keywords

    Why:

    CURRENT
    text-to-speech, tts
    COPY-PASTE FIX
    text-to-speech, tts, speech-synthesis, on-device, low-latency, real-time, python-library, ai-model
  • lowcomparison#3
    Add a brief comparison section to the README

    Why:

    COPY-PASTE FIX
    ## Comparison
Soprano differentiates itself from other TTS solutions by focusing on ultra-lightweight, on-device, real-time generation with minimal latency, making it ideal for edge deployments and applications requiring high performance on constrained hardware, unlike many cloud-based or heavier open-source alternatives.

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 ekwek1/soprano
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. Google ML Kit · recommended 1×
  3. Picovoice Rhino Speech-to-Text & Porcupine Wake Word · recommended 1×
  4. coqui-ai/TTS · recommended 1×
  5. espeak-ng/espeak-ng · recommended 1×
  • CATEGORY QUERY
    What are the best options for real-time, low-latency text-to-speech generation on-device?
    you: not recommended
    AI recommended (in order):
    1. Apple Speech Framework
    2. Google ML Kit
    3. Picovoice Rhino Speech-to-Text & Porcupine Wake Word
    4. Coqui TTS (coqui-ai/TTS)
    5. eSpeak NG (espeak-ng/espeak-ng)
    6. Pico TTS

    AI recommended 6 alternatives but never named ekwek1/soprano. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Looking for a lightweight text-to-speech model producing ultra-realistic, expressive audio for integration.
    you: not recommended
    AI recommended (in order):
    1. ElevenLabs (Prime Voice AI)
    2. Google Cloud Text-to-Speech (WaveNet & Studio voices)
    3. Microsoft Azure AI Speech (Neural voices)
    4. Amazon Polly (Neural voices)
    5. Coqui TTS
    6. Meta's Voicebox

    AI recommended 6 alternatives but never named ekwek1/soprano. 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 ekwek1/soprano?
    pass
    AI named ekwek1/soprano explicitly

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

  • If a team adopts ekwek1/soprano in production, what risks or prerequisites should they evaluate first?
    pass
    AI named ekwek1/soprano 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 ekwek1/soprano solve, and who is the primary audience?
    pass
    AI named ekwek1/soprano explicitly

    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 ekwek1/soprano. 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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MARKDOWN (README)
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ekwek1/soprano — 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