RRepoGEO

REPOGEO REPORT · LITE

mybigday/whisper.rn

Default branch main · commit eadd9cdd · scanned 6/16/2026, 12:11:58 AM

GitHub: 790 stars · 62 forks

AI VISIBILITY SCORE
35 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
1 pass · 1 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 mybigday/whisper.rn, 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 statement to highlight core differentiators

    Why:

    CURRENT
    React Native binding of whisper.cpp.
    COPY-PASTE FIX
    Performant, on-device, and offline speech-to-text transcription for React Native applications, powered by `whisper.cpp`.
  • mediumreadme#2
    Add an explicit 'Features' section to the README

    Why:

    COPY-PASTE FIX
    ## Features

- On-device, offline speech-to-text transcription
- High-performance inference using `whisper.cpp`
- Seamless integration with React Native applications
- Support for various Whisper models (tiny, base, small, medium, large)
- Optimized for iOS (Core ML) and Android (armv8.2-a+fp16)
  • mediumhomepage#3
    Add a homepage URL to the repository's About section

    Why:

    COPY-PASTE FIX
    https://www.npmjs.com/package/whisper.rn/

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 mybigday/whisper.rn
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
alphacep/react-native-vosk
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. alphacep/react-native-vosk · recommended 1×
  2. mozilla/DeepSpeech · recommended 1×
  3. Picovoice/rhino · recommended 1×
  4. Apple Speech Framework · recommended 1×
  5. Android SpeechRecognizer · recommended 1×
  • CATEGORY QUERY
    How to add offline speech recognition capabilities to a React Native mobile app?
    you: not recommended
    AI recommended (in order):
    1. Vosk API (alphacep/react-native-vosk)
    2. Mozilla DeepSpeech (mozilla/DeepSpeech)
    3. Picovoice Rhino Speech-to-Intent (Picovoice/rhino)
    4. Apple Speech Framework
    5. Android SpeechRecognizer

    AI recommended 5 alternatives but never named mybigday/whisper.rn. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Looking for a performant library to integrate ASR models into my React Native project.
    you: not recommended
    AI recommended (in order):
    1. react-native-voice
    2. @react-native-community/voice
    3. react-native-speech-to-text-ios
    4. react-native-speech-to-text-android
    5. Google Cloud Speech-to-Text API
    6. Axios
    7. Fetch
    8. AWS Transcribe
    9. AWS Amplify
    10. Azure Cognitive Services Speech
    11. Vosk

    AI recommended 11 alternatives but never named mybigday/whisper.rn. This is the gap to close.

    Show full AI answer

Objective checks

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

  • Metadata completeness
    warn

    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 mybigday/whisper.rn?
    pass
    AI named mybigday/whisper.rn explicitly

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

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

    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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mybigday/whisper.rn — 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