RRepoGEO

REPOGEO REPORT · LITE

acon96/home-llm

Default branch develop · commit 7ab3c293 · scanned 5/8/2026, 6:42:46 PM

GitHub: 1,332 stars · 133 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 acon96/home-llm, 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
  • highlicense#1
    Add a LICENSE file to the repository

    Why:

    COPY-PASTE FIX
    Create a LICENSE file in the repository root with an appropriate open-source license (e.g., MIT, Apache-2.0, or GPL-3.0) to clarify usage terms.
  • highhomepage#2
    Set the repository homepage URL

    Why:

    COPY-PASTE FIX
    Set the repository homepage URL in the 'About' section to a relevant project page, such as `https://github.com/acon96/home-llm/blob/main/docs/Setup.md` or a dedicated project website if one exists.
  • mediumtopics#3
    Expand repository topics for better category matching

    Why:

    CURRENT
    homeassistant-custom-component, large-language-model
    COPY-PASTE FIX
    Add `voice-assistant`, `smart-home-ai`, `conversation-agent`, `privacy-focused` to the repository topics.

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 acon96/home-llm
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Home Assistant
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. Home Assistant · recommended 2×
  2. Rhasspy · recommended 2×
  3. Wyoming Protocol · recommended 1×
  4. Mycroft AI · recommended 1×
  5. OpenVoiceOS · recommended 1×
  • CATEGORY QUERY
    How can I integrate a local large language model for smart home voice control?
    you: not recommended
    AI recommended (in order):
    1. Home Assistant
    2. Wyoming Protocol
    3. Mycroft AI
    4. Rhasspy
    5. OpenVoiceOS
    6. Whisper.cpp
    7. Mozilla DeepSpeech
    8. Llama 2
    9. Mistral
    10. Gemma
    11. Llama.cpp
    12. Hugging Face Transformers
    13. Piper
    14. Coqui TTS
    15. Mistral 7B Instruct
    16. Llama 2 7B Chat
    17. Gemma 2B/7B Instruct

    AI recommended 17 alternatives but never named acon96/home-llm. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Looking for a privacy-focused AI solution to automate my smart home without cloud dependencies.
    you: not recommended
    AI recommended (in order):
    1. Home Assistant
    2. ESPHome
    3. Zigbee2MQTT
    4. Z-Wave JS UI
    5. Rhasspy
    6. OpenWakeWord
    7. Picovoice Porcupine
    8. OpenHAB
    9. Node-RED
    10. MQTT
    11. Mosquitto
    12. HomeKit
    13. Matter
    14. Hubitat Elevation
    15. Athom Homey Pro

    AI recommended 15 alternatives but never named acon96/home-llm. 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 acon96/home-llm?
    pass
    AI named acon96/home-llm explicitly

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

  • If a team adopts acon96/home-llm in production, what risks or prerequisites should they evaluate first?
    pass
    AI named acon96/home-llm 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 acon96/home-llm solve, and who is the primary audience?
    pass
    AI named acon96/home-llm 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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acon96/home-llm — 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