RRepoGEO

REPOGEO REPORT · LITE

tevonsb/homeassistant-mcp

Default branch main · commit da5c30bc · scanned 6/4/2026, 10:52:40 PM

GitHub: 575 stars · 57 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 tevonsb/homeassistant-mcp, 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 H1 to clarify 'MCP' and LLM focus

    Why:

    CURRENT
    # Model Context Protocol Server for Home Assistant
    COPY-PASTE FIX
    # Model Context Protocol (MCP) Server for Home Assistant: LLM Integration for Smart Home Control
  • mediumhomepage#2
    Add a homepage URL to complete metadata

    Why:

    COPY-PASTE FIX
    https://github.com/tevonsb/homeassistant-mcp

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 tevonsb/homeassistant-mcp
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. Node-RED · recommended 2×
  3. SmartThings · recommended 2×
  4. Home Assistant Cloud (Nabu Casa) · recommended 1×
  5. OpenAI · recommended 1×
  • CATEGORY QUERY
    How to integrate LLMs for natural language control of smart home devices?
    you: not recommended
    AI recommended (in order):
    1. Home Assistant
    2. Home Assistant Cloud (Nabu Casa)
    3. OpenAI
    4. Llama 2
    5. Mistral
    6. Ollama
    7. LM Studio
    8. AppDaemon
    9. OpenHAB
    10. OpenHAB Cloud Connector
    11. Node-RED
    12. SmartThings
    13. Google Assistant
    14. Amazon Alexa
    15. Google Actions
    16. Alexa Skills
    17. Google Cloud Functions
    18. AWS Lambda
    19. WebCore
    20. Glitch
    21. Rhasspy
    22. Vosk
    23. Whisper
    24. MQTT

    AI recommended 24 alternatives but never named tevonsb/homeassistant-mcp. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What tools provide real-time smart home device state monitoring with an API?
    you: not recommended
    AI recommended (in order):
    1. Home Assistant
    2. SmartThings
    3. Hubitat Elevation
    4. openHAB
    5. IFTTT
    6. Node-RED
    7. Google Home/Amazon Alexa

    AI recommended 7 alternatives but never named tevonsb/homeassistant-mcp. 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 tevonsb/homeassistant-mcp?
    pass
    AI did not name tevonsb/homeassistant-mcp — 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 tevonsb/homeassistant-mcp in production, what risks or prerequisites should they evaluate first?
    pass
    AI named tevonsb/homeassistant-mcp 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 tevonsb/homeassistant-mcp solve, and who is the primary audience?
    pass
    AI named tevonsb/homeassistant-mcp explicitly

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

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MARKDOWN (README)
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tevonsb/homeassistant-mcp — 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