RRepoGEO

REPOGEO REPORT · LITE

apeatling/ollama-voice-mac

Default branch trunk · commit d0b46d54 · scanned 6/16/2026, 6:27:46 AM

GitHub: 517 stars · 66 forks

AI VISIBILITY SCORE
28 /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
2 / 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 apeatling/ollama-voice-mac, 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
  • highabout#1
    Expand the About description to clarify it's a complete voice assistant application

    Why:

    CURRENT
    Mac compatible Ollama Voice
    COPY-PASTE FIX
    A completely offline, local voice assistant application for macOS, integrating Mistral 7b via Ollama and Whisper for a private, hands-free AI experience.
  • mediumtopics#2
    Add topics emphasizing its role as a complete, local voice assistant application

    Why:

    CURRENT
    ai, assistant, chatbot, llm, macos, mistral, ollama, speech-recognition, voice, whisper
    COPY-PASTE FIX
    ai, assistant, chatbot, llm, macos, mistral, ollama, speech-recognition, voice, whisper, voice-assistant, offline-ai, local-llm-app, desktop-app
  • mediumhomepage#3
    Add the repository URL as the homepage

    Why:

    COPY-PASTE FIX
    https://github.com/apeatling/ollama-voice-mac

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 apeatling/ollama-voice-mac
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Whisper
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. Whisper · recommended 1×
  2. Picovoice Rhino · recommended 1×
  3. llama.cpp · recommended 1×
  4. Ollama · recommended 1×
  5. LM Studio · recommended 1×
  • CATEGORY QUERY
    How can I build a completely offline voice assistant using local large language models?
    you: not recommended
    AI recommended (in order):
    1. Whisper
    2. Picovoice Rhino
    3. llama.cpp
    4. Ollama
    5. LM Studio
    6. Coqui TTS
    7. Piper
    8. Mozilla Common Voice

    AI recommended 8 alternatives but never named apeatling/ollama-voice-mac. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What tools enable a private, local speech-to-text and text-to-speech AI assistant?
    you: not recommended
    AI recommended (in order):
    1. OpenAI Whisper (openai/whisper)
    2. Piper (rhasspy/piper)
    3. Mozilla DeepSpeech (mozilla/DeepSpeech)
    4. Coqui TTS (coqui-ai/TTS)
    5. Vosk (alphacep/vosk-api)
    6. eSpeak NG (espeak-ng/espeak-ng)
    7. Rhino Speech-to-Intent (Picovoice/rhino)
    8. PicoVoice Porcupine (Picovoice/porcupine)
    9. Mycroft Mimic 3 (MycroftAI/mimic3)

    AI recommended 9 alternatives but never named apeatling/ollama-voice-mac. 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 apeatling/ollama-voice-mac?
    pass
    AI did not name apeatling/ollama-voice-mac — likely talking about a different project

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

  • If a team adopts apeatling/ollama-voice-mac in production, what risks or prerequisites should they evaluate first?
    pass
    AI named apeatling/ollama-voice-mac 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 apeatling/ollama-voice-mac solve, and who is the primary audience?
    pass
    AI named apeatling/ollama-voice-mac 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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  • Brand-free category queries5 vs 2 in Lite
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