RRepoGEO

REPOGEO REPORT · LITE

susiai/susi_device

Default branch master · commit c90979c9 · scanned 5/12/2026, 3:03:02 PM

GitHub: 1,007 stars · 1 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 susiai/susi_device, 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's opening to clarify its purpose as an offline device platform

    Why:

    CURRENT
    # SUSI Device

This project contains the sources to install SUSI elements on a Raspberry Pi.
    COPY-PASTE FIX
    # SUSI Device: An Open-Source Offline Voice Assistant Platform for Raspberry Pi

This project provides the complete open-source sources and instructions to build and install an offline, privacy-focused voice assistant device on a Raspberry Pi, integrating a local LLM, microphone, speaker, and display within a Docker environment.
  • hightopics#2
    Add relevant topics to the repository

    Why:

    CURRENT
    (none)
    COPY-PASTE FIX
    offline-ai, voice-assistant, raspberry-pi, local-llm, embedded-system, open-source, privacy, docker
  • mediumlicense#3
    Add a LICENSE file to the repository

    Why:

    CURRENT
    (no LICENSE file detected — the repo has no recognizable license)
    COPY-PASTE FIX
    (Create a LICENSE file in the repository root, choosing an appropriate open-source license for your project.)

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 susiai/susi_device
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Mycroft AI
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. Mycroft AI · recommended 1×
  2. Mozilla DeepSpeech · recommended 1×
  3. Whisper.cpp · recommended 1×
  4. Piper · recommended 1×
  5. Coqui TTS · recommended 1×
  • CATEGORY QUERY
    How to build an offline voice assistant with a local large language model?
    you: not recommended
    AI recommended (in order):
    1. Mycroft AI
    2. Mozilla DeepSpeech
    3. Whisper.cpp
    4. Piper
    5. Coqui TTS
    6. llama.cpp
    7. Home Assistant
    8. Ollama
    9. Rhasspy
    10. Kaldi
    11. Vosk
    12. eSpeak NG
    13. MaryTTS
    14. FuzzyWuzzy
    15. OpenFST
    16. SpeechRecognition
    17. llama-cpp-python
    18. Picovoice Porcupine
    19. Mycroft Precise

    AI recommended 19 alternatives but never named susiai/susi_device. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What are the best open-source platforms for running an embedded AI system offline?
    you: not recommended
    AI recommended (in order):
    1. TensorFlow Lite
    2. PyTorch Mobile
    3. ONNX Runtime
    4. OpenVINO Toolkit
    5. MicroPython
    6. CircuitPython
    7. TensorFlow Lite for Microcontrollers
    8. Edge Impulse

    AI recommended 8 alternatives but never named susiai/susi_device. 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 susiai/susi_device?
    pass
    AI did not name susiai/susi_device — 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 susiai/susi_device in production, what risks or prerequisites should they evaluate first?
    pass
    AI named susiai/susi_device 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 susiai/susi_device solve, and who is the primary audience?
    pass
    AI named susiai/susi_device 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 susiai/susi_device. It auto-updates whenever the report is rescanned and links back to the latest report — easy public proof that you care about AI discoverability.

RepoGEO badge previewLive preview
MARKDOWN (README)
[![RepoGEO](https://repogeo.com/badge/susiai/susi_device.svg)](https://repogeo.com/en/r/susiai/susi_device)
HTML
<a href="https://repogeo.com/en/r/susiai/susi_device"><img src="https://repogeo.com/badge/susiai/susi_device.svg" alt="RepoGEO" /></a>
Pro

Subscribe to Pro for deep diagnoses

susiai/susi_device — 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