RRepoGEO

REPOGEO REPORT · LITE

yl4579/StyleTTS2

Default branch main · commit 5cedc71c · scanned 5/10/2026, 11:37:40 AM

GitHub: 6,248 stars · 680 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 yl4579/StyleTTS2, 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 a clear project type statement to the README's introduction

    Why:

    CURRENT
    The current README starts with the paper title and abstract.
    COPY-PASTE FIX
    Add the following sentence immediately after the H1 title: "This repository provides the official PyTorch implementation of StyleTTS 2, an open-source text-to-speech model."
  • highhomepage#2
    Add the project's public website to the repository homepage metadata

    Why:

    COPY-PASTE FIX
    https://styletts2.github.io/
  • mediumreadme#3
    Add a 'Key Features' section to highlight unique capabilities

    Why:

    CURRENT
    The README describes features within the academic abstract.
    COPY-PASTE FIX
    Add a new section titled 'Key Features' or 'Why StyleTTS2?' immediately after the introduction, summarizing its main advantages such as 'Human-level TTS synthesis on single and multispeaker datasets', 'Superior zero-shot speaker adaptation', and 'Efficient latent style diffusion and adversarial training'.

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 yl4579/StyleTTS2
Avg rank
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
ElevenLabs Prime Voice AI
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. ElevenLabs Prime Voice AI · recommended 1×
  2. Google Cloud Text-to-Speech · recommended 1×
  3. Azure AI Speech · recommended 1×
  4. Amazon Polly · recommended 1×
  5. Descript · recommended 1×
  • CATEGORY QUERY
    Seeking a text-to-speech model that produces human-like speech with diverse styles.
    you: not recommended
    AI recommended (in order):
    1. ElevenLabs Prime Voice AI
    2. Google Cloud Text-to-Speech
    3. Azure AI Speech
    4. Amazon Polly
    5. Descript
    6. Meta Voicebox

    AI recommended 6 alternatives but never named yl4579/StyleTTS2. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What are open-source text-to-speech solutions leveraging diffusion models for natural voice generation?
    you: not recommended
    AI recommended (in order):
    1. Coqui TTS
    2. Diff-SVC
    3. Grad-TTS
    4. OpenVoice
    5. VITS

    AI recommended 5 alternatives but never named yl4579/StyleTTS2. 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 yl4579/StyleTTS2?
    pass
    AI did not name yl4579/StyleTTS2 — 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?

  • If a team adopts yl4579/StyleTTS2 in production, what risks or prerequisites should they evaluate first?
    pass
    AI named yl4579/StyleTTS2 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 yl4579/StyleTTS2 solve, and who is the primary audience?
    pass
    AI named yl4579/StyleTTS2 explicitly

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

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yl4579/StyleTTS2 — 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