RRepoGEO

REPOGEO REPORT · LITE

TheStageAI/TheWhisper

Default branch main · commit 23be3167 · scanned 6/9/2026, 9:28:20 PM

GitHub: 887 stars · 56 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 TheStageAI/TheWhisper, 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 H1 and opening paragraph to highlight multi-platform, streaming, high-performance STT

    Why:

    CURRENT
    # TheWhisper: High-Performance Speech-to-Text
    
    ## 🚀 Overview
    
    This repository aims to share and develop the most efficient speech-to-text and text-to-speech inference solution -with a strong focus on self-hosting, cloud hosting, and on-device inference across multiple devices.
    COPY-PASTE FIX
    # TheWhisper: High-Performance, Streaming Speech-to-Text for Apple Silicon (CoreML) & NVIDIA GPUs
    
    ## 🚀 Overview
    
    This repository provides TheStage AI's highly optimized, open-source inference solution for Whisper models, focusing on **streaming, low-latency, and low-power speech-to-text** across multiple devices. It delivers unparalleled performance for **Apple Silicon (CoreML)** and **NVIDIA GPUs**, making it ideal for self-hosting, cloud deployments, and on-device inference.
  • mediumabout#2
    Update repository description to emphasize multi-platform support

    Why:

    CURRENT
    Optimized Whisper models for streaming and on-device use
    COPY-PASTE FIX
    High-performance, streaming speech-to-text inference for Whisper models, optimized for Apple Silicon (CoreML) and NVIDIA GPUs.
  • mediumreadme#3
    Add a 'Why TheWhisper?' or 'Comparison' section to the README

    Why:

    COPY-PASTE FIX
    Add a new section to the README, e.g., "## ✨ Why TheWhisper? (Key Differentiators)" or "## 🆚 TheWhisper vs. Alternatives", detailing its advantages in terms of multi-platform support (Apple Silicon, NVIDIA), streaming capabilities, low-latency, and self-hosting compared to generic Whisper implementations or cloud APIs.

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 TheStageAI/TheWhisper
Avg rank
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
OpenAI Whisper
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. OpenAI Whisper · recommended 2×
  2. Apple Speech Framework · recommended 1×
  3. Whisper.cpp · recommended 1×
  4. Google Cloud Speech-to-Text API · recommended 1×
  5. AssemblyAI API · recommended 1×
  • CATEGORY QUERY
    How can I implement real-time speech-to-text transcription on Apple Silicon devices efficiently?
    you: not recommended
    AI recommended (in order):
    1. Apple Speech Framework
    2. Whisper.cpp
    3. OpenAI Whisper
    4. Google Cloud Speech-to-Text API
    5. AssemblyAI API

    AI recommended 5 alternatives but never named TheStageAI/TheWhisper. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What are the best options for high-performance streaming speech recognition with GPU acceleration?
    you: not recommended
    AI recommended (in order):
    1. NVIDIA Riva
    2. OpenAI Whisper
    3. Picovoice Rhino Speech-to-Intent
    4. Picovoice Porcupine Wake Word
    5. Picovoice Leopard Speech-to-Text
    6. Google Cloud Speech-to-Text
    7. Amazon Transcribe
    8. Microsoft Azure Speech-to-Text
    9. Mozilla DeepSpeech

    AI recommended 9 alternatives but never named TheStageAI/TheWhisper. 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 TheStageAI/TheWhisper?
    pass
    AI named TheStageAI/TheWhisper explicitly

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

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

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

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  • Deep reports10 / month
  • Brand-free category queries5 vs 2 in Lite
  • Prioritized action items8 vs 3 in Lite