RRepoGEO

REPOGEO REPORT · LITE

fspecii/HeartMuLa-Studio

Default branch main · commit bf49e8f2 · scanned 6/5/2026, 2:18:10 PM

GitHub: 591 stars · 101 forks

AI VISIBILITY SCORE
30 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
1 pass · 0 warn · 1 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 fspecii/HeartMuLa-Studio, 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 clarifying statement to the README's introduction

    Why:

    COPY-PASTE FIX
    Add the following paragraph immediately after the main title/subtitle in your README:

`<p align="center"><em>Note: This project is focused on AI music creation and is not related to medical or cardiac imaging.</em></p>`
  • hightopics#2
    Add relevant topics to the repository

    Why:

    CURRENT
    (none)
    COPY-PASTE FIX
    ai-music-generation, music-synthesis, style-transfer, audio-generation, deep-learning, machine-learning, music-studio, suno-ai-alternative, audio-ai
  • highlicense#3
    Add a LICENSE file to the repository

    Why:

    CURRENT
    (no LICENSE file detected — the repo has no recognizable license)
    COPY-PASTE FIX
    Create a `LICENSE` file in the repository root containing the text of your chosen open-source license, such as the MIT License.

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 fspecii/HeartMuLa-Studio
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Soundraw
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. Soundraw · recommended 2×
  2. Amper Music · recommended 2×
  3. Suno AI · recommended 1×
  4. Udio · recommended 1×
  5. AIVA (Artificial Intelligence Virtual Artist) · recommended 1×
  • CATEGORY QUERY
    Looking for an AI tool to generate full songs, including vocals and lyrics.
    you: not recommended
    AI recommended (in order):
    1. Suno AI
    2. Udio
    3. AIVA (Artificial Intelligence Virtual Artist)
    4. Soundraw
    5. Amper Music

    AI recommended 5 alternatives but never named fspecii/HeartMuLa-Studio. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Need a music generation platform that supports style transfer from existing audio.
    you: not recommended
    AI recommended (in order):
    1. AIVA
    2. Amper Music
    3. Jukebox
    4. Magenta Studio
    5. Soundraw

    AI recommended 5 alternatives but never named fspecii/HeartMuLa-Studio. This is the gap to close.

    Show full AI answer

Objective checks

Rule-based audits of metadata signals AI engines weight most.

  • Metadata completeness
    fail

    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 fspecii/HeartMuLa-Studio?
    pass
    AI named fspecii/HeartMuLa-Studio explicitly

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

  • If a team adopts fspecii/HeartMuLa-Studio in production, what risks or prerequisites should they evaluate first?
    pass
    AI named fspecii/HeartMuLa-Studio 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 fspecii/HeartMuLa-Studio solve, and who is the primary audience?
    pass
    AI named fspecii/HeartMuLa-Studio 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 fspecii/HeartMuLa-Studio. 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)
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HTML
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  • Brand-free category queries5 vs 2 in Lite
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