RRepoGEO

REPOGEO REPORT · LITE

dscripka/openWakeWord

Default branch main · commit 368c0371 · scanned 5/24/2026, 12:12:07 AM

GitHub: 2,292 stars · 273 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
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 dscripka/openWakeWord, 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 relevant topics to the repository

    Why:

    COPY-PASTE FIX
    wake-word, voice-assistant, speech-recognition, audio-processing, real-time, offline, customizable, machine-learning, deep-learning, python
  • highreadme#2
    Reposition the README's opening paragraph to highlight differentiators

    Why:

    CURRENT
    openWakeWord is an open-source wakeword library that can be used to create voice-enabled applications and interfaces. It includes pre-trained models for common words & phrases that work well in real-world environments.
    COPY-PASTE FIX
    openWakeWord is a performant, real-time, and fully open-source wake word detection framework. It enables developers to easily integrate robust, offline voice activation into applications, offering pre-trained models and simple tools for training custom wake words.
  • mediumhomepage#3
    Add a homepage URL to the repository metadata

    Why:

    COPY-PASTE FIX
    Add the URL for the project's official homepage or a live demo (e.g., the HuggingFace Spaces demo mentioned in the README).

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 dscripka/openWakeWord
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Picovoice Porcupine
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. Picovoice Porcupine · recommended 2×
  2. Mozilla DeepSpeech · recommended 2×
  3. Mycroft Precise · recommended 1×
  4. Snowboy · recommended 1×
  5. PocketSphinx · recommended 1×
  • CATEGORY QUERY
    Looking for an open-source library to add voice-enabled wake word detection to my application.
    you: not recommended
    AI recommended (in order):
    1. Picovoice Porcupine
    2. Mozilla DeepSpeech
    3. Mycroft Precise
    4. Snowboy
    5. PocketSphinx

    AI recommended 5 alternatives but never named dscripka/openWakeWord. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    How to implement performant, real-time custom audio phrase detection for voice interfaces?
    you: not recommended
    AI recommended (in order):
    1. Picovoice Porcupine
    2. Picovoice Rhino
    3. Mozilla DeepSpeech
    4. Google Cloud Speech-to-Text
    5. Amazon Transcribe
    6. Vosk
    7. Snips NLU

    AI recommended 7 alternatives but never named dscripka/openWakeWord. 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 dscripka/openWakeWord?
    pass
    AI named dscripka/openWakeWord explicitly

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

  • If a team adopts dscripka/openWakeWord in production, what risks or prerequisites should they evaluate first?
    pass
    AI named dscripka/openWakeWord 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 dscripka/openWakeWord solve, and who is the primary audience?
    pass
    AI named dscripka/openWakeWord explicitly

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

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dscripka/openWakeWord — 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