RRepoGEO

REPOGEO REPORT · LITE

svpino/alloy-voice-assistant

Default branch main · commit 45254918 · scanned 6/8/2026, 4:28:00 PM

GitHub: 984 stars · 366 forks

AI VISIBILITY SCORE
23 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
1 pass · 0 warn · 1 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 svpino/alloy-voice-assistant, 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

2 prioritized changes generated by gemini-2.5-flash. Mark items done after you ship the fix.

OVERALL DIRECTION
  • highreadme#1
    Reposition README to highlight Alloy framework and formal methods

    Why:

    CURRENT
    # Sample AI assistant
    COPY-PASTE FIX
    # Alloy Voice Assistant: A Formal Modeling Example

This project demonstrates a voice assistant built using the **Alloy specification language** for formally modeling and reasoning about its logic and behavior, integrating with OpenAI and Google voice APIs.
  • highlicense#2
    Add a LICENSE file to the repository

    Why:

    COPY-PASTE FIX
    (Create a LICENSE file, choosing an appropriate open-source license, and place it in the repository root.)

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 svpino/alloy-voice-assistant
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
OpenAI API
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. OpenAI API · recommended 1×
  2. Google Cloud Speech-to-Text API · recommended 1×
  3. Dialogflow ES/CX · recommended 1×
  4. Google Cloud Text-to-Speech API · recommended 1×
  5. AssemblyAI API · recommended 1×
  • CATEGORY QUERY
    How can I build a voice-activated AI assistant using Python and popular APIs?
    you: not recommended
    AI recommended (in order):
    1. OpenAI API
    2. Google Cloud Speech-to-Text API
    3. Dialogflow ES/CX
    4. Google Cloud Text-to-Speech API
    5. AssemblyAI API
    6. LangChain
    7. Eleven Labs API
    8. Mozilla DeepSpeech
    9. spaCy
    10. NLTK
    11. pyttsx3
    12. Vosk
    13. Rasa
    14. sounddevice
    15. PyAudio
    16. pydub
    17. soundfile

    AI recommended 17 alternatives but never named svpino/alloy-voice-assistant. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What are good Python examples for integrating OpenAI and Google voice APIs into an assistant?
    you: not recommended
    AI recommended (in order):
    1. openai
    2. google-cloud-speech
    3. google-cloud-texttospeech
    4. SpeechRecognition
    5. gTTS
    6. pyaudio
    7. whisper
    8. ElevenLabs

    AI recommended 8 alternatives but never named svpino/alloy-voice-assistant. This is the gap to close.

    Show full AI answer

Objective checks

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

  • Metadata completeness
    fail

    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 svpino/alloy-voice-assistant?
    pass
    AI did not name svpino/alloy-voice-assistant — 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 svpino/alloy-voice-assistant in production, what risks or prerequisites should they evaluate first?
    pass
    AI named svpino/alloy-voice-assistant 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 svpino/alloy-voice-assistant solve, and who is the primary audience?
    pass
    AI named svpino/alloy-voice-assistant explicitly

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

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svpino/alloy-voice-assistant — 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