RRepoGEO

REPOGEO REPORT · LITE

haoheliu/AudioLDM

Default branch main · commit 4054cb41 · scanned 5/13/2026, 12:32:40 AM

GitHub: 2,881 stars · 265 forks

AI VISIBILITY SCORE
33 /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
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 haoheliu/AudioLDM, 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
  • highreadme#1
    Reposition the README H1 to specify the model type and core capabilities

    Why:

    CURRENT
    # :sound: Audio Generation with AudioLDM (ICML 2023)
    COPY-PASTE FIX
    # :sound: AudioLDM: Latent Diffusion Model for Text-to-Audio Generation (ICML 2023)
  • mediumlicense#2
    Clarify the project's license directly in the README

    Why:

    COPY-PASTE FIX
    ## License
This project is licensed under [insert specific license name(s) here, e.g., a custom license, or a combination of licenses like Apache 2.0 and MIT]. Please refer to the `LICENSE` file for full details.

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 haoheliu/AudioLDM
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
ElevenLabs
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. ElevenLabs · recommended 2×
  2. facebookresearch/audiocraft · recommended 1×
  3. riffusion/riffusion · recommended 1×
  4. magenta/magenta · recommended 1×
  5. openai/jukebox · recommended 1×
  • CATEGORY QUERY
    How can I programmatically generate diverse sound effects, music, or speech from text prompts?
    you: not recommended
    AI recommended (in order):
    1. AudioCraft (facebookresearch/audiocraft)
    2. Riffusion (riffusion/riffusion)
    3. ElevenLabs
    4. Google Magenta Studio (magenta/magenta)
    5. OpenAI Jukebox (openai/jukebox)
    6. Hugging Face Transformers (huggingface/transformers)
    7. Tortoise-TTS (neonbjb/tortoise-tts)

    AI recommended 7 alternatives but never named haoheliu/AudioLDM. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What tools enable modifying existing audio or transferring styles using text descriptions?
    you: not recommended
    AI recommended (in order):
    1. Audo Studio
    2. Adobe Audition
    3. iZotope RX
    4. Descript
    5. Meta's AudioCraft
    6. AudioGen
    7. MusicGen
    8. RunwayML
    9. ElevenLabs

    AI recommended 9 alternatives but never named haoheliu/AudioLDM. 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 haoheliu/AudioLDM?
    pass
    AI named haoheliu/AudioLDM explicitly

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

  • If a team adopts haoheliu/AudioLDM in production, what risks or prerequisites should they evaluate first?
    pass
    AI named haoheliu/AudioLDM 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 haoheliu/AudioLDM solve, and who is the primary audience?
    pass
    AI did not name haoheliu/AudioLDM — 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?

Embed your GEO score

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MARKDOWN (README)
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haoheliu/AudioLDM — 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