RRepoGEO

REPOGEO REPORT · LITE

marin-m/SongRec

Default branch main · commit 5afbf736 · scanned 5/21/2026, 2:12:06 PM

GitHub: 1,842 stars · 133 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 marin-m/SongRec, 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 README H1 to specify 'native desktop application'

    Why:

    CURRENT
    SongRec is an open-source Shazam client for Linux, written in Rust.
    COPY-PASTE FIX
    SongRec is a native, open-source Shazam desktop application for Linux, written in Rust.
  • hightopics#2
    Expand repository topics with more specific keywords

    Why:

    CURRENT
    audio-fingerprinting, flatpak, rust, shazam, songrec
    COPY-PASTE FIX
    audio-fingerprinting, flatpak, rust, shazam, songrec, linux-app, desktop-application, music-recognition, audio-recognition
  • mediumcomparison#3
    Add a 'Comparison to Alternatives' section in the README

    Why:

    COPY-PASTE FIX
    Add a new section to your README, for example, after 'How it works':

## Comparison to Alternatives

SongRec is a unique, native, and open-source Shazam client specifically built for Linux desktop users. Unlike proprietary mobile applications such as Shazam or SoundHound, SongRec offers transparency and runs directly on your Linux system without emulation. It also differs from developer libraries like ACRCloud or AcoustID, as SongRec is a complete, user-ready application with both a graphical user interface (GUI) and a command-line interface (CLI), rather than a toolkit for building other applications.

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 marin-m/SongRec
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Shazam
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. Shazam · recommended 2×
  2. ACRCloud · recommended 2×
  3. AcoustID · recommended 2×
  4. SoundHound · recommended 1×
  5. Wine · recommended 1×
  • CATEGORY QUERY
    How can I identify songs playing from my Linux system's audio output?
    you: not recommended
    AI recommended (in order):
    1. SoundHound
    2. Wine
    3. Anbox
    4. Waydroid
    5. Genymotion
    6. Android Studio Emulator
    7. PulseAudio
    8. JACK Audio Connection Kit
    9. Shazam
    10. ACRCloud
    11. parec
    12. arecord
    13. Audacity
    14. Midomi
    15. AcoustID
    16. fpcalc
    17. Chromaprint
    18. PulseAudio Volume Control (pavucontrol)

    AI recommended 18 alternatives but never named marin-m/SongRec. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Looking for an open-source music identification tool with a command-line interface.
    you: not recommended
    AI recommended (in order):
    1. ACRCloud
    2. AcoustID
    3. fpcalc (acoustid/fpcalc)
    4. chromaprint (acoustid/chromaprint)
    5. Dejavu (worldveil/dejavu)
    6. Shazam
    7. MusicBrainz Picard (metabrainz/picard)

    AI recommended 7 alternatives but never named marin-m/SongRec. 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 marin-m/SongRec?
    pass
    AI named marin-m/SongRec explicitly

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

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

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

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marin-m/SongRec — 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