RRepoGEO

REPOGEO REPORT · LITE

nyrahealth/CrisperWhisper

Default branch main · commit 8c8863cc · scanned 6/14/2026, 4:12:54 PM

GitHub: 957 stars · 52 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 nyrahealth/CrisperWhisper, 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 H1 and opening sentence to explicitly counter CRISPR confusion

    Why:

    CURRENT
    # CrisperWhisper

**CrisperWhisper** is an advanced variant of OpenAI's Whisper, designed for fast, precise, and verbatim speech recognition with accurate (**crisp**) word-level timestamps.
    COPY-PASTE FIX
    # CrisperWhisper: Verbatim Automatic Speech Recognition (ASR) with Crisp Timestamps

**CrisperWhisper** is an advanced variant of OpenAI's Whisper, designed for fast, precise, and verbatim speech recognition with accurate (**crisp**) word-level timestamps. **(Note: This project is a speech processing tool and is not related to CRISPR gene editing.)**
  • highabout#2
    Update the 'About' description to be more explicit about ASR and preempt CRISPR confusion

    Why:

    CURRENT
    Verbatim Automatic Speech Recognition with improved word-level timestamps and filler detection
    COPY-PASTE FIX
    CrisperWhisper: Advanced ASR (Automatic Speech Recognition) for verbatim transcription, crisp word-level timestamps, and filler detection. *Not related to CRISPR gene editing.*
  • mediumhomepage#3
    Add a homepage URL to the repository metadata

    Why:

    COPY-PASTE FIX
    https://nyrahealth.github.io/CrisperWhisper

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 nyrahealth/CrisperWhisper
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Google Cloud Speech-to-Text
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. Google Cloud Speech-to-Text · recommended 2×
  2. AssemblyAI · recommended 2×
  3. openai/whisper · recommended 1×
  4. Amazon Transcribe · recommended 1×
  5. mozilla/DeepSpeech · recommended 1×
  • CATEGORY QUERY
    Need an ASR model that transcribes every spoken word, including disfluencies and fillers.
    you: not recommended
    AI recommended (in order):
    1. Whisper (openai/whisper)
    2. Google Cloud Speech-to-Text
    3. Amazon Transcribe
    4. AssemblyAI
    5. DeepSpeech (mozilla/DeepSpeech)
    6. Speechmatics

    AI recommended 6 alternatives but never named nyrahealth/CrisperWhisper. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Looking for speech recognition with highly accurate word-level timestamps and robust filler word detection.
    you: not recommended
    AI recommended (in order):
    1. AssemblyAI
    2. Deepgram
    3. AWS Transcribe
    4. Google Cloud Speech-to-Text
    5. OpenAI Whisper
    6. Azure Cognitive Services Speech

    AI recommended 6 alternatives but never named nyrahealth/CrisperWhisper. 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 nyrahealth/CrisperWhisper?
    pass
    AI named nyrahealth/CrisperWhisper explicitly

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

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