RRepoGEO

REPOGEO REPORT · LITE

yangdongchao/UniAudio

Default branch main · commit c1146a8c · scanned 6/16/2026, 5:03:25 AM

GitHub: 605 stars · 40 forks

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 yangdongchao/UniAudio, 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

2 prioritized changes generated by gemini-2.5-flash. Mark items done after you ship the fix.

OVERALL DIRECTION
  • highlicense#1
    Add a LICENSE file to the repository

    Why:

    COPY-PASTE FIX
    Create a LICENSE file in the repository root (e.g., LICENSE.md) with a standard open-source license such as MIT or Apache-2.0.
  • mediumreadme#2
    Enhance the repository description and README's opening section

    Why:

    CURRENT
    The repository description is 'The Open Source Code of UniAudio'. The README's first content after the H1 is '### News', with the core statement 'UniAudio is a universal audio generation model' appearing much later in the 'Overview' section.
    COPY-PASTE FIX
    1. **Repository Description:** Change to 'UniAudio: A unified audio foundation model for universal generation of speech, music, and sound effects.'
2. **README:** Immediately after the H1, add a concise summary sentence, for example: 'UniAudio is a cutting-edge, unified audio foundation model designed for universal audio generation, encompassing speech, music, and sound effects from a single architecture.'

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 yangdongchao/UniAudio
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
AudioGen
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. AudioGen · recommended 2×
  2. MusicGen · recommended 2×
  3. AudioLDM · recommended 2×
  4. Jukebox · recommended 2×
  5. Riffusion · recommended 1×
  • CATEGORY QUERY
    How can I generate diverse audio content, including speech, sound effects, and music, with one model?
    you: not recommended
    AI recommended (in order):
    1. AudioGen
    2. MusicGen
    3. Riffusion
    4. AudioLDM
    5. Bark
    6. Jukebox

    AI recommended 6 alternatives but never named yangdongchao/UniAudio. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What are the leading open-source foundation models for universal audio generation using token-based approaches?
    you: not recommended
    AI recommended (in order):
    1. AudioGen
    2. MusicGen
    3. Encodec
    4. AudioLDM
    5. Jukebox

    AI recommended 5 alternatives but never named yangdongchao/UniAudio. 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 yangdongchao/UniAudio?
    pass
    AI named yangdongchao/UniAudio explicitly

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

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

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

Embed your GEO score

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MARKDOWN (README)
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HTML
<a href="https://repogeo.com/en/r/yangdongchao/UniAudio"><img src="https://repogeo.com/badge/yangdongchao/UniAudio.svg" alt="RepoGEO" /></a>
Pro

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yangdongchao/UniAudio — 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