RRepoGEO

REPOGEO REPORT · LITE

hkchengrex/MMAudio

Default branch main · commit 974010a0 · scanned 5/9/2026, 3:06:50 PM

GitHub: 2,169 stars · 258 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 hkchengrex/MMAudio, 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
    Reposition the README's main title (H1) to clearly state its full purpose

    Why:

    CURRENT
    <h2>MMAudio</h2>
    COPY-PASTE FIX
    # [CVPR 2025] MMAudio: Taming Multimodal Joint Training for High-Quality Video-to-Audio Synthesis
  • mediumcomparison#2
    Add a 'Why MMAudio?' section to differentiate it from general audio tools

    Why:

    COPY-PASTE FIX
    ## Why MMAudio?

MMAudio is a research framework and model for high-quality, synchronized video-to-audio synthesis, distinct from general audio editing software like Adobe Audition or basic audio extraction tools like FFmpeg. It focuses on generative AI for creating new audio from video and text inputs, rather than editing existing audio or performing simple conversions.
  • lowtopics#3
    Add 'generative-ai' and 'cvpr-2025' to the repository topics

    Why:

    CURRENT
    audio, audio-synthesis, computer-vision, deep-learning, text-to-audio, video-to-audio
    COPY-PASTE FIX
    audio, audio-synthesis, computer-vision, deep-learning, text-to-audio, video-to-audio, generative-ai, cvpr-2025

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 hkchengrex/MMAudio
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
FFmpeg
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. FFmpeg · recommended 2×
  2. Adobe Audition · recommended 1×
  3. DaVinci Resolve Fairlight · recommended 1×
  4. iZotope RX · recommended 1×
  5. Pydub · recommended 1×
  • CATEGORY QUERY
    How to synthesize high-quality, synchronized audio tracks from video input?
    you: not recommended
    AI recommended (in order):
    1. Adobe Audition
    2. DaVinci Resolve Fairlight
    3. iZotope RX
    4. FFmpeg
    5. Pydub
    6. Librosa
    7. Audioread
    8. PyTorch
    9. TensorFlow
    10. Logic Pro X
    11. Reaper

    AI recommended 11 alternatives but never named hkchengrex/MMAudio. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What are the best tools for generating audio from video and text prompts?
    you: not recommended
    AI recommended (in order):
    1. ElevenLabs
    2. Google Cloud Text-to-Speech
    3. OpenAI Jukebox
    4. Meta AudioCraft
    5. Descript
    6. FFmpeg
    7. Adobe Premiere Pro
    8. DaVinci Resolve
    9. Final Cut Pro
    10. Online Audio Converter
    11. CloudConvert
    12. moviepy (Zulko/moviepy)
    13. pydub (jiaaro/pydub)

    AI recommended 13 alternatives but never named hkchengrex/MMAudio. 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 hkchengrex/MMAudio?
    pass
    AI named hkchengrex/MMAudio explicitly

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

  • If a team adopts hkchengrex/MMAudio in production, what risks or prerequisites should they evaluate first?
    pass
    AI named hkchengrex/MMAudio 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 hkchengrex/MMAudio solve, and who is the primary audience?
    pass
    AI named hkchengrex/MMAudio 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 hkchengrex/MMAudio. 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)
[![RepoGEO](https://repogeo.com/badge/hkchengrex/MMAudio.svg)](https://repogeo.com/en/r/hkchengrex/MMAudio)
HTML
<a href="https://repogeo.com/en/r/hkchengrex/MMAudio"><img src="https://repogeo.com/badge/hkchengrex/MMAudio.svg" alt="RepoGEO" /></a>
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hkchengrex/MMAudio — 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