RRepoGEO

REPOGEO REPORT · LITE

RapidAI/RapidASR

Default branch main · commit c4f76bbb · scanned 6/14/2026, 2:21:45 AM

GitHub: 607 stars · 71 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 RapidAI/RapidASR, 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 library type and core tech

    Why:

    CURRENT
    The README currently starts with '## Rapid ASR' followed by badges and a promotion for a private group.
    COPY-PASTE FIX
    Add the following sentence immediately after the main H1 (e.g., '## Rapid ASR') and before any badges or promotional content: 'RapidAI/RapidASR is a commercial-grade, cross-platform Automatic Speech Recognition (ASR) inference library, built on ONNXRuntime for easy integration and supporting both Chinese and English.'
  • mediumtopics#2
    Expand repository topics with key technical terms

    Why:

    CURRENT
    asr, paddlespeech, paraformer, wenet
    COPY-PASTE FIX
    asr, paddlespeech, paraformer, wenet, onnxruntime, speech-to-text, inference, cross-platform
  • lowhomepage#3
    Add a homepage URL to the repository metadata

    Why:

    COPY-PASTE FIX
    Add the official project homepage URL (e.g., a documentation site, demo page, or main project portal) to the repository's 'About' section.

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 RapidAI/RapidASR
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Google Cloud Speech-to-Text
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. Google Cloud Speech-to-Text · recommended 1×
  2. Microsoft Azure Cognitive Services Speech · recommended 1×
  3. Amazon Transcribe · recommended 1×
  4. Baidu AI Cloud Speech (语音识别) · recommended 1×
  5. Tencent Cloud Speech Recognition (语音识别) · recommended 1×
  • CATEGORY QUERY
    What are the best cross-platform libraries for accurate automatic speech recognition, including Chinese?
    you: not recommended
    AI recommended (in order):
    1. Google Cloud Speech-to-Text
    2. Microsoft Azure Cognitive Services Speech
    3. Amazon Transcribe
    4. Baidu AI Cloud Speech (语音识别)
    5. Tencent Cloud Speech Recognition (语音识别)
    6. AssemblyAI
    7. OpenAI Whisper

    AI recommended 7 alternatives but never named RapidAI/RapidASR. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Seeking an easy-to-integrate, commercial-grade speech-to-text inference library using ONNXRuntime.
    you: not recommended
    AI recommended (in order):
    1. Whisper (OpenAI) (openai/whisper)
    2. NVIDIA NeMo (NVIDIA/NeMo)
    3. Mozilla DeepSpeech (mozilla/DeepSpeech)
    4. Facebook Wav2Vec 2.0
    5. Kaldi (kaldi-asr/kaldi)

    AI recommended 5 alternatives but never named RapidAI/RapidASR. 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 RapidAI/RapidASR?
    pass
    AI named RapidAI/RapidASR explicitly

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

  • If a team adopts RapidAI/RapidASR in production, what risks or prerequisites should they evaluate first?
    pass
    AI named RapidAI/RapidASR 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 RapidAI/RapidASR solve, and who is the primary audience?
    pass
    AI named RapidAI/RapidASR 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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RapidAI/RapidASR — Lite scans stay free; this card itemizes Pro deep limits vs Lite.

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  • Brand-free category queries5 vs 2 in Lite
  • Prioritized action items8 vs 3 in Lite