RRepoGEO

REPOGEO REPORT · LITE

NeptuneHub/AudioMuse-AI

Default branch main · commit 21dd6cd6 · scanned 6/28/2026, 2:06:47 AM

GitHub: 1,996 stars · 118 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
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 NeptuneHub/AudioMuse-AI, 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 opening paragraph to emphasize application and integration

    Why:

    CURRENT
    AudioMuse-AI is an opensource and self-hosted tool that uses sonic analysis to rediscover forgotten songs in your music library and generate groove-aware playlists that also capture the meaning behind each track, without relying on metadata or external APIs.
    COPY-PASTE FIX
    AudioMuse-AI is an opensource, self-hosted application that integrates directly with your existing music servers (Jellyfin, Navidrome, LMS, Lyrion, Emby) to use sonic analysis for rediscovering forgotten songs and generating intelligent, groove-aware playlists, all without needing metadata or external APIs.
  • mediumtopics#2
    Refine topics to focus on application and solution, removing implementation details

    Why:

    CURRENT
    clap, docker, emby, jellyfin, jellyfin-plugin, k3s, kubernetes, librosa, llm, lyrion, music, navidrome, ollama, onnx, open-source, open-source-project, playlist, self-hosted, smart-playlists, sonic-analysis
    COPY-PASTE FIX
    clap, docker, emby, jellyfin, jellyfin-plugin, k3s, kubernetes, lms, lyrion, music, navidrome, open-source, open-source-project, playlist, self-hosted, smart-playlists, sonic-analysis, music-server-integration, playlist-generation, audio-analysis-application
  • lowcomparison#3
    Add a 'How AudioMuse-AI Compares' section to the README

    Why:

    COPY-PASTE FIX
    ## How AudioMuse-AI Compares
Unlike metadata editors (e.g., Picard, mutagen) or low-level audio analysis libraries (e.g., Essentia, LibROSA), AudioMuse-AI is a complete, self-hosted application designed to integrate directly with your music servers. It focuses on generating intelligent playlists and rediscovering music based purely on sonic characteristics, without requiring manual tagging or external fingerprinting services.

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 NeptuneHub/AudioMuse-AI
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Essentia
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. Essentia · recommended 2×
  2. Picard · recommended 1×
  3. AcoustID · recommended 1×
  4. AcousticBrainz · recommended 1×
  5. mutagen · recommended 1×
  • CATEGORY QUERY
    How to create intelligent playlists for self-hosted music servers using sonic analysis?
    you: not recommended
    AI recommended (in order):
    1. Picard
    2. AcoustID
    3. AcousticBrainz
    4. Essentia
    5. mutagen
    6. SQLite
    7. PostgreSQL
    8. Spotify API
    9. Navidrome
    10. Jellyfin
    11. Plexamp
    12. Plex
    13. Librosa
    14. scikit-learn

    AI recommended 14 alternatives but never named NeptuneHub/AudioMuse-AI. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    AI tool to analyze local music library and generate recommendations without metadata?
    you: not recommended
    AI recommended (in order):
    1. Essentia
    2. LibROSA
    3. OpenL3
    4. PyTorch
    5. TensorFlow
    6. VAMP plugins
    7. Sonic Visualiser
    8. Audacity

    AI recommended 8 alternatives but never named NeptuneHub/AudioMuse-AI. 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 NeptuneHub/AudioMuse-AI?
    pass
    AI named NeptuneHub/AudioMuse-AI explicitly

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

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

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

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NeptuneHub/AudioMuse-AI — 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