RRepoGEO

REPOGEO REPORT · LITE

syl22-00/pocketsphinx.js

Default branch master · commit d8884449 · scanned 5/9/2026, 2:32:38 AM

GitHub: 1,511 stars · 261 forks

AI VISIBILITY SCORE
30 /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
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 syl22-00/pocketsphinx.js, 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
  • highlicense#1
    Create a LICENSE file and clarify license in README

    Why:

    COPY-PASTE FIX
    Create a `LICENSE` file in the repository root with a standard open-source license (e.g., MIT, Apache-2.0) and ensure the 'License' section in the README clearly states which license applies and links to the file.
  • mediumhomepage#2
    Add homepage URL to repository About section

    Why:

    COPY-PASTE FIX
    https://syl22-00.github.io/pocketsphinx.js

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 syl22-00/pocketsphinx.js
Avg rank
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Web Speech API
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. Web Speech API · recommended 1×
  2. xenova/transformers.js · recommended 1×
  3. mozilla/DeepSpeech · recommended 1×
  4. alphacep/vosk-api · recommended 1×
  5. tensorflow/tfjs · recommended 1×
  • CATEGORY QUERY
    How to implement offline speech recognition directly within a web browser application?
    you: not recommended
    AI recommended (in order):
    1. Web Speech API
    2. Transformers.js (xenova/transformers.js)
    3. Mozilla DeepSpeech (mozilla/DeepSpeech)
    4. Vosk (alphacep/vosk-api)
    5. TensorFlow.js (tensorflow/tfjs)

    AI recommended 5 alternatives but never named syl22-00/pocketsphinx.js. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What are options for adding real-time voice command processing to a web app using JavaScript?
    you: not recommended
    AI recommended (in order):
    1. Web Speech API (SpeechRecognition)
    2. AssemblyAI
    3. Google Cloud Speech-to-Text
    4. Deepgram
    5. Vosk

    AI recommended 5 alternatives but never named syl22-00/pocketsphinx.js. 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 syl22-00/pocketsphinx.js?
    pass
    AI named syl22-00/pocketsphinx.js explicitly

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

  • If a team adopts syl22-00/pocketsphinx.js in production, what risks or prerequisites should they evaluate first?
    pass
    AI named syl22-00/pocketsphinx.js 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 syl22-00/pocketsphinx.js solve, and who is the primary audience?
    pass
    AI named syl22-00/pocketsphinx.js 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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MARKDOWN (README)
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  • Brand-free category queries5 vs 2 in Lite
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