RRepoGEO

REPOGEO REPORT · LITE

HEnquist/camilladsp

Default branch master · commit 05e9cfcd · scanned 6/6/2026, 6:02:12 AM

GitHub: 969 stars · 90 forks

AI VISIBILITY SCORE
59 /100
Needs work
Category recall
1 / 2
Avg rank #8.0 when recommended
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 HEnquist/camilladsp, 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
  • hightopics#1
    Add 'rust' to repository topics

    Why:

    CURRENT
    alsa, audio, coreaudio, dsp, fir, iir-filters, pulseaudio, wasapi
    COPY-PASTE FIX
    alsa, audio, coreaudio, dsp, fir, iir-filters, pulseaudio, wasapi, rust
  • mediumreadme#2
    Strengthen README opening to highlight Rust and engine nature

    Why:

    CURRENT
    CamillaDSP is a powerful and flexible audio processing tool, designed for applications like active crossovers, room correction, and advanced audio filtering.
    COPY-PASTE FIX
    CamillaDSP is a powerful, flexible, and cross-platform real-time audio DSP engine, written in Rust. It's designed for advanced applications like active crossovers, room correction, and audio filtering.
  • lowreadme#3
    Add a 'Why CamillaDSP?' section to highlight differentiators

    Why:

    COPY-PASTE FIX
    ## Why CamillaDSP?
CamillaDSP stands out as a highly flexible, open-source, and cross-platform software-defined real-time audio DSP engine. Unlike dedicated hardware units, it offers unparalleled customization and integration possibilities for your audio setup.

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
1 / 2
50% of queries surface HEnquist/camilladsp
Avg rank
#8.0
Lower is better. #1 = top recommendation.
Share of voice
6%
Of all named tools, what % are you?
Top rival
miniDSP
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. miniDSP · recommended 1×
  2. REW (Room EQ Wizard) · recommended 1×
  3. Equalizer APO · recommended 1×
  4. wwmm/easyeffects · recommended 1×
  5. ExistentialAudio/BlackHole · recommended 1×
  • CATEGORY QUERY
    How can I implement active audio crossovers and room correction across multiple operating systems?
    you: #8
    AI recommended (in order):
    1. miniDSP
    2. REW (Room EQ Wizard)
    3. Equalizer APO
    4. PulseEffects (wwmm/easyeffects)
    5. BlackHole (ExistentialAudio/BlackHole)
    6. AU Lab
    7. Roon
    8. CamillaDSP (HEnquist/camilladsp) ← you
    9. JRiver Media Center
    10. Acourate
    Show full AI answer
  • CATEGORY QUERY
    What real-time DSP engine in Rust is good for advanced audio filtering like FIR/IIR?
    you: not recommended
    AI recommended (in order):
    1. rubato (HEnquist/rubato)
    2. rust-dsp (rust-dsp/rust-dsp)
    3. dasp (RustAudio/dasp)
    4. fundsp (SamiPerttu/fundsp)
    5. audiounit (RustAudio/audiounit)
    6. cpal (RustAudio/cpal)

    AI recommended 6 alternatives but never named HEnquist/camilladsp. 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 HEnquist/camilladsp?
    pass
    AI named HEnquist/camilladsp explicitly

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

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