RRepoGEO

REPOGEO REPORT · LITE

bytedance/MegaTTS3

Default branch main · commit f506233c · scanned 5/17/2026, 9:43:04 AM

GitHub: 6,084 stars · 471 forks

Scan history for this repo

Score trend below includes all ready runs (older left, newer right; scroll horizontally if needed). The table is collapsed by default—expand for newest-first rows, 10 per page.

Score trend (left → right: older → newer)

2 ready scans. Expand the table below for newest-first rows (10 per page, paginated).

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 bytedance/MegaTTS3, 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
    Add a concise repository description

    Why:

    COPY-PASTE FIX
    Official PyTorch implementation of MegaTTS 3, a lightweight and efficient text-to-speech model for ultra high-quality voice cloning with bilingual Chinese/English support and controllable synthesis.
  • hightopics#2
    Expand repository topics for better categorization

    Why:

    CURRENT
    research
    COPY-PASTE FIX
    text-to-speech, tts, voice-cloning, speech-synthesis, pytorch, deep-learning, ai, machine-learning, bilingual, chinese, english, diffusion-model, transformer, research
  • mediumhomepage#3
    Add the Hugging Face demo link as the repository homepage

    Why:

    COPY-PASTE FIX
    https://huggingface.co/spaces/ByteDance/MegaTTS3

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 bytedance/MegaTTS3
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
NVIDIA/tacotron2
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. NVIDIA/tacotron2 · recommended 1×
  2. NVIDIA/waveglow · recommended 1×
  3. HiFi-GAN · recommended 1×
  4. UnivNet · recommended 1×
  5. CorentinJ/Real-Time-Voice-Cloning · recommended 1×
  • CATEGORY QUERY
    How can I implement high-quality voice cloning with PyTorch for research?
    you: not recommended
    AI recommended (in order):
    1. Tacotron 2 (NVIDIA/tacotron2)
    2. WaveGlow (NVIDIA/waveglow)
    3. HiFi-GAN
    4. UnivNet
    5. Real-Time Voice Cloning (CorentinJ/Real-Time-Voice-Cloning)
    6. VITS
    7. YourTTS (coqui-ai/TTS)

    AI recommended 7 alternatives but never named bytedance/MegaTTS3. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What are efficient text-to-speech models supporting bilingual Chinese and English synthesis?
    you: not recommended
    AI recommended (in order):
    1. Google Cloud Text-to-Speech
    2. Microsoft Azure AI Speech
    3. Amazon Polly
    4. Baidu AI Cloud Text-to-Speech
    5. iFlytek (科大讯飞) Text-to-Speech
    6. ElevenLabs
    7. OpenAI TTS (via API)

    AI recommended 7 alternatives but never named bytedance/MegaTTS3. 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 bytedance/MegaTTS3?
    pass
    AI named bytedance/MegaTTS3 explicitly

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

  • If a team adopts bytedance/MegaTTS3 in production, what risks or prerequisites should they evaluate first?
    pass
    AI named bytedance/MegaTTS3 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 bytedance/MegaTTS3 solve, and who is the primary audience?
    pass
    AI named bytedance/MegaTTS3 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 bytedance/MegaTTS3. It auto-updates whenever the report is rescanned and links back to the latest report — easy public proof that you care about AI discoverability.

RepoGEO badge previewLive preview
MARKDOWN (README)
[![RepoGEO](https://repogeo.com/badge/bytedance/MegaTTS3.svg)](https://repogeo.com/en/r/bytedance/MegaTTS3)
HTML
<a href="https://repogeo.com/en/r/bytedance/MegaTTS3"><img src="https://repogeo.com/badge/bytedance/MegaTTS3.svg" alt="RepoGEO" /></a>
Pro

Subscribe to Pro for deep diagnoses

bytedance/MegaTTS3 — 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