RRepoGEO

REPOGEO REPORT · LITE

OHF-Voice/intents

Default branch main · commit e41f8285 · scanned 6/10/2026, 2:52:42 AM

GitHub: 605 stars · 634 forks

Scan history for this repo

Score trend below includes all ready runs (older left, newer right; scroll horizontally if needed). The table is collapsed by default—expand for newest-first rows, 10 per page.

Score trend (left → right: older → newer)

2 ready scans. Expand the table below for newest-first rows (10 per page, paginated).

AI VISIBILITY SCORE
40 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
2 pass · 0 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 OHF-Voice/intents, 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
  • hightopics#1
    Add descriptive topics for better categorization

    Why:

    CURRENT
    hacktoberfest
    COPY-PASTE FIX
    home-assistant, voice-control, smart-home, intents, multilingual, voice-assistant, nlu, training-data
  • highreadme#2
    Reposition README opening to clarify purpose for developers

    Why:

    CURRENT
    # Intents for Home Assistant

This repository contains training data for Home Assistant's local voice control.
    COPY-PASTE FIX
    # Intents for Home Assistant

This repository provides the core training data and definitions for Home Assistant's local voice control system. It enables developers to extend and customize voice commands and responses for smart home automation, supporting a growing list of languages and facilitating contributions to the voice assistant ecosystem.
  • mediumabout#3
    Expand repository description with key functionality

    Why:

    CURRENT
    Intents to be used with Home Assistant
    COPY-PASTE FIX
    Multilingual intent training data and definitions for Home Assistant's local voice control, enabling custom voice commands and responses for smart home automation.

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 OHF-Voice/intents
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 1 of 2 queries
COMPETITOR LEADERBOARD
  1. Home Assistant · recommended 1×
  2. Rhasspy · recommended 1×
  3. OpenWakeWord · recommended 1×
  4. Piper · recommended 1×
  5. Whisper · recommended 1×
  • CATEGORY QUERY
    How to define custom voice commands and responses for local smart home automation?
    you: not recommended
    AI recommended (in order):
    1. Home Assistant
    2. Rhasspy
    3. OpenWakeWord
    4. Piper
    5. Whisper
    6. Vosk
    7. Mycroft AI
    8. Node-RED
    9. Google Cloud Speech-to-Text
    10. Amazon Polly
    11. Snips

    AI recommended 11 alternatives but never named OHF-Voice/intents. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What tools help manage multilingual intent training data for a voice control system?
    you: not recommended
    AI recommended (in order):
    1. Rasa X
    2. Rasa Enterprise
    3. Label Studio
    4. Appen
    5. Scale AI
    6. Google Cloud Translation AI
    7. DeepL API
    8. Git
    9. Crowdin
    10. Lokalise

    AI recommended 10 alternatives but never named OHF-Voice/intents. This is the gap to close.

    Show full AI answer

Objective checks

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

  • Metadata completeness
    pass

  • 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 OHF-Voice/intents?
    pass
    AI named OHF-Voice/intents explicitly

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

  • If a team adopts OHF-Voice/intents in production, what risks or prerequisites should they evaluate first?
    pass
    AI named OHF-Voice/intents 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 OHF-Voice/intents solve, and who is the primary audience?
    pass
    AI named OHF-Voice/intents 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 OHF-Voice/intents. It auto-updates whenever the report is rescanned and links back to the latest report — easy public proof that you care about AI discoverability.

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MARKDOWN (README)
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OHF-Voice/intents — 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