RRepoGEO

REPOGEO REPORT · LITE

Picovoice/cheetah

Default branch master · commit e5494079 · scanned 6/2/2026, 8:51:47 AM

GitHub: 663 stars · 77 forks

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 Picovoice/cheetah, 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
    Strengthen README's opening statement to emphasize on-device and privacy

    Why:

    CURRENT
    Cheetah is an on-device streaming speech-to-text engine. Cheetah is:
    COPY-PASTE FIX
    Cheetah is a highly accurate, compact, and computationally-efficient **on-device streaming speech-to-text engine** designed for **private, real-time voice transcription** across a wide range of platforms.
  • mediumtopics#2
    Add specific topics highlighting on-device, offline, and privacy features

    Why:

    CURRENT
    asr, automatic-speech-recognition, online-speech-recognition, speech-recognition, speech-to-text, streaming-speech-to-text, stt, transcription, voice-recognition
    COPY-PASTE FIX
    asr, automatic-speech-recognition, online-speech-recognition, speech-recognition, speech-to-text, streaming-speech-to-text, stt, transcription, voice-recognition, on-device, offline-speech-recognition, privacy-first, edge-ai, embedded-ai
  • mediumreadme#3
    Add a 'Comparison to Alternatives' section in the README

    Why:

    COPY-PASTE FIX
    Add a new section titled 'Comparison to Alternatives' in the README. This section should explicitly contrast Cheetah's on-device, privacy-first, and streaming capabilities with common alternatives like cloud APIs, Whisper.cpp, DeepSpeech, or Vosk, focusing on resource efficiency and real-time performance.

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 Picovoice/cheetah
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
ggerganov/whisper.cpp
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. ggerganov/whisper.cpp · recommended 1×
  2. Picovoice Rhino Speech-to-Text Engine · recommended 1×
  3. mozilla/DeepSpeech · recommended 1×
  4. tensorflow/tensorflow · recommended 1×
  5. kaldi-asr/kaldi · recommended 1×
  • CATEGORY QUERY
    How can I implement real-time speech-to-text transcription directly on a device?
    you: not recommended
    AI recommended (in order):
    1. Whisper.cpp (ggerganov/whisper.cpp)
    2. Picovoice Rhino Speech-to-Text Engine
    3. Mozilla DeepSpeech (mozilla/DeepSpeech)
    4. TensorFlow Lite (tensorflow/tensorflow)
    5. Kaldi (kaldi-asr/kaldi)
    6. Edge Impulse

    AI recommended 6 alternatives but never named Picovoice/cheetah. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What are the best options for private, on-device streaming voice recognition?
    you: not recommended
    AI recommended (in order):
    1. Apple Speech Framework
    2. Mozilla DeepSpeech
    3. Picovoice Rhino Speech-to-Intent / Porcupine Wake Word
    4. Vosk
    5. Coqui STT
    6. TensorFlow Lite

    AI recommended 6 alternatives but never named Picovoice/cheetah. 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 Picovoice/cheetah?
    pass
    AI named Picovoice/cheetah explicitly

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

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