RRepoGEO

REPOGEO REPORT · LITE

FireRedTeam/FireRedASR2S

Default branch main · commit 4e7d9aaf · scanned 6/4/2026, 2:28:11 AM

GitHub: 533 stars · 37 forks

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 FireRedTeam/FireRedASR2S, 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 and clarify the README's introductory text

    Why:

    CURRENT
    <div align="center">
    <h1>
    FireRedASR2S
    <br>
    A SOTA Industrial-Grade All-in-One ASR System
    </h1>
    </div>
    
    [[Paper]](https://arxiv.org/pdf/2603.10420)
    [[Model🤗]](https://huggingface.co/collections/FireRedTeam/fireredasr2s)
    [[Model🤖]](https://www.modelscope.cn/collections/xukaituo/FireRedASR2S)
    [[Demo]](https://huggingface.co/spaces/FireRedTeam/FireRedASR2S)
    
    FireRedASR2S is a state-of-the-art (SOTA), industrial-grade, all-in-one ASR system with ASR, VAD, LID, and Punc modules.
    COPY-PASTE FIX
    <div align="center">
    <h1>
    FireRedASR2S
    <br>
    A SOTA Industrial-Grade All-in-One ASR System
    </h1>
    </div>
    
    FireRedASR2S is a state-of-the-art (SOTA), industrial-grade, all-in-one ASR system with ASR, VAD, LID, and Punc modules. It is designed for advanced Automatic Speech Recognition (ASR) tasks and is not related to cybersecurity or red teaming.
    
    [[Paper]](https://arxiv.org/pdf/2603.10420)
    [[Model🤗]](https://huggingface.co/collections/FireRedTeam/fireredasr2s)
    [[Model🤖]](https://www.modelscope.cn/collections/xukaituo/FireRedASR2S)
    [[Demo]](https://huggingface.co/spaces/FireRedTeam/FireRedASR2S)
  • highhomepage#2
    Add a homepage URL to the repository's 'About' section

    Why:

    COPY-PASTE FIX
    https://huggingface.co/spaces/FireRedTeam/FireRedASR2S
  • mediumtopics#3
    Add broader machine learning and programming language topics

    Why:

    CURRENT
    asr, asr-pipeline, audio-event-classification, audio-event-detection, automatic-speech-recognition, industrial-grade, language-identification, lid, llm, multimodal-llm, open-source, punctuation-prediction, punctuation-restoration, sota, speech-recognition, speechllm, vad, voice-activity-detection
    COPY-PASTE FIX
    asr, asr-pipeline, audio-event-classification, audio-event-detection, automatic-speech-recognition, deep-learning, industrial-grade, language-identification, lid, llm, machine-learning, multimodal-llm, open-source, python, punctuation-prediction, punctuation-restoration, sota, speech-recognition, speechllm, vad, voice-activity-detection

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 FireRedTeam/FireRedASR2S
Avg rank
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Deepgram
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. Deepgram · recommended 2×
  2. AssemblyAI · recommended 2×
  3. Google Cloud Speech-to-Text API · recommended 1×
  4. Amazon Transcribe · recommended 1×
  5. Microsoft Azure Cognitive Services - Speech · recommended 1×
  • CATEGORY QUERY
    Looking for an industrial-grade, all-in-one speech recognition system with voice activity detection and language identification.
    you: not recommended
    AI recommended (in order):
    1. Google Cloud Speech-to-Text API
    2. Amazon Transcribe
    3. Microsoft Azure Cognitive Services - Speech
    4. Nuance Communications
    5. Deepgram
    6. AssemblyAI
    7. OpenAI Whisper
    8. WebRTC VAD

    AI recommended 8 alternatives but never named FireRedTeam/FireRedASR2S. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Need a robust solution for transcribing both speech and singing, including Chinese dialects and English, with punctuation.
    you: not recommended
    AI recommended (in order):
    1. OpenAI Whisper (openai/whisper)
    2. Google Cloud Speech-to-Text
    3. AssemblyAI
    4. AWS Transcribe
    5. Microsoft Azure Speech-to-Text
    6. Deepgram

    AI recommended 6 alternatives but never named FireRedTeam/FireRedASR2S. 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 FireRedTeam/FireRedASR2S?
    pass
    AI named FireRedTeam/FireRedASR2S explicitly

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

  • If a team adopts FireRedTeam/FireRedASR2S in production, what risks or prerequisites should they evaluate first?
    pass
    AI named FireRedTeam/FireRedASR2S 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 FireRedTeam/FireRedASR2S solve, and who is the primary audience?
    pass
    AI named FireRedTeam/FireRedASR2S 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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HTML
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FireRedTeam/FireRedASR2S — 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