RRepoGEO

REPOGEO REPORT · LITE

Saik0s/Whisperboard

Default branch main · commit 23e6d261 · scanned 5/14/2026, 10:53:02 PM

GitHub: 1,028 stars · 108 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 Saik0s/Whisperboard, 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
    Clarify project type and purpose in the README's opening

    Why:

    CURRENT
    Welcome to WhisperBoard, the open-source iOS app that's making quality voice transcription more accessible on mobile devices. Built with the power of OpenAI's Whisper model, WhisperBoard is your go-to tool for capturing thoughts, meetings, and conversations with unparalleled accuracy.
    COPY-PASTE FIX
    WhisperBoard is the open-source iOS app designed for high-quality, on-device voice transcription. Leveraging OpenAI's Whisper model, it provides unparalleled accuracy for capturing thoughts, meetings, and conversations directly on your mobile device, making advanced speech-to-text accessible to everyone.
  • mediumhomepage#2
    Add a homepage URL to the repository's About section

    Why:

    COPY-PASTE FIX
    Add the official app website or App Store link (e.g., `https://apps.apple.com/app/whisperboard/id1234567890` or `https://whisperboard.app`) to the repository's homepage field.
  • lowtopics#3
    Add more specific topics to reinforce 'iOS app' and 'on-device' capabilities

    Why:

    CURRENT
    audio-to-text, composable-architecture, ios, openai, speech-recognition, speech-to-text, swiftui, tca, transcription, tuist, whisper, whisper-cpp
    COPY-PASTE FIX
    audio-to-text, composable-architecture, ios, openai, speech-recognition, speech-to-text, swiftui, tca, transcription, tuist, whisper, whisper-cpp, ios-app, on-device-transcription, offline-speech-to-text

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 Saik0s/Whisperboard
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Mozilla DeepSpeech
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. Mozilla DeepSpeech · recommended 2×
  2. ggerganov/whisper.cpp · recommended 1×
  3. OpenAI's Whisper model · recommended 1×
  4. sanchit-gandhi/Whisper-iOS · recommended 1×
  5. Vosk-API · recommended 1×
  • CATEGORY QUERY
    What are good open-source iOS apps for accurate voice transcription?
    you: not recommended
    AI recommended (in order):
    1. Whisper.cpp (ggerganov/whisper.cpp)
    2. OpenAI's Whisper model
    3. Whisper-iOS (sanchit-gandhi/Whisper-iOS)
    4. Vosk-API
    5. Mozilla DeepSpeech
    6. Apple's Speech Framework

    AI recommended 6 alternatives but never named Saik0s/Whisperboard. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    How to implement high-quality speech recognition directly on an iOS device?
    you: not recommended
    AI recommended (in order):
    1. Apple Speech Framework (AVSpeechRecognizer)
    2. Whisper.cpp
    3. Picovoice Rhino Speech-to-Intent
    4. Picovoice Porcupine Wake Word
    5. Mozilla DeepSpeech
    6. TensorFlow Lite

    AI recommended 6 alternatives but never named Saik0s/Whisperboard. 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 Saik0s/Whisperboard?
    pass
    AI named Saik0s/Whisperboard explicitly

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

  • If a team adopts Saik0s/Whisperboard in production, what risks or prerequisites should they evaluate first?
    pass
    AI named Saik0s/Whisperboard 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 Saik0s/Whisperboard solve, and who is the primary audience?
    pass
    AI named Saik0s/Whisperboard 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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MARKDOWN (README)
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  • Deep reports10 / month
  • Brand-free category queries5 vs 2 in Lite
  • Prioritized action items8 vs 3 in Lite