RRepoGEO

REPOGEO REPORT · LITE

altalt-org/Lightning-SimulWhisper

Default branch main · commit 63f08982 · scanned 6/11/2026, 8:28:05 PM

GitHub: 614 stars · 46 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 altalt-org/Lightning-SimulWhisper, 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
  • highreadme#1
    Reposition README opening to clarify purpose and avoid miscategorization

    Why:

    CURRENT
    ```text
Note: this is not the source code for the app Alt. It is a open souced version of the transcription engine we use.
```

<h1 align="center">Lightning-SimulWhisper</h1>

<p align="center">

</p>

<div align="center">
  
</div>

<div align="center">
  
</div>

The fastest, most power efficient real-time local transcriptions on your apple silicon devices ✨
    COPY-PASTE FIX
    # Lightning-SimulWhisper

The fastest, most power efficient real-time local speech transcription engine for your Apple Silicon devices ✨. This project implements the Whisper model for simultaneous transcription using MLX and CoreML, achieving significant speedups and power efficiency without PyTorch dependencies.
  • hightopics#2
    Add specific topics to improve category visibility

    Why:

    COPY-PASTE FIX
    whisper, speech-to-text, real-time, apple-silicon, mlx, coreml, simultaneous-transcription, machine-learning, transcription-engine, low-latency
  • mediumlicense#3
    Clarify the existing license in the README

    Why:

    COPY-PASTE FIX
    This project is released under the custom licensing terms detailed in the [LICENSE](LICENSE) file.

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 altalt-org/Lightning-SimulWhisper
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Vosk
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. Vosk · recommended 2×
  2. whisper.cpp · recommended 1×
  3. MacWhisper · recommended 1×
  4. Whisper Desktop · recommended 1×
  5. Apple's Speech Framework · recommended 1×
  • CATEGORY QUERY
    How to get fast, real-time speech transcription on my Apple M-series Mac?
    you: not recommended
    AI recommended (in order):
    1. whisper.cpp
    2. MacWhisper
    3. Whisper Desktop
    4. Apple's Speech Framework
    5. Vosk

    AI recommended 5 alternatives but never named altalt-org/Lightning-SimulWhisper. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Need a highly performant and power-efficient real-time transcription engine for local use.
    you: not recommended
    AI recommended (in order):
    1. Whisper.cpp
    2. Vosk
    3. Picovoice Rhino Speech-to-Intent
    4. Mozilla DeepSpeech
    5. Kaldi

    AI recommended 5 alternatives but never named altalt-org/Lightning-SimulWhisper. 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 altalt-org/Lightning-SimulWhisper?
    pass
    AI named altalt-org/Lightning-SimulWhisper explicitly

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

  • If a team adopts altalt-org/Lightning-SimulWhisper in production, what risks or prerequisites should they evaluate first?
    pass
    AI named altalt-org/Lightning-SimulWhisper 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 altalt-org/Lightning-SimulWhisper solve, and who is the primary audience?
    pass
    AI did not name altalt-org/Lightning-SimulWhisper — 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?

Embed your GEO score

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altalt-org/Lightning-SimulWhisper — Lite scans stay free; this card itemizes Pro deep limits vs Lite.

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  • Brand-free category queries5 vs 2 in Lite
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