RRepoGEO

REPOGEO REPORT · LITE

DataoceanAI/Dolphin

Default branch main · commit 78ea6151 · scanned 5/31/2026, 3:32:22 PM

GitHub: 750 stars · 65 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 DataoceanAI/Dolphin, 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
  • hightopics#1
    Add specific ASR-related topics

    Why:

    COPY-PASTE FIX
    asr, speech-recognition, multilingual, multitask, voice-activity-detection, language-identification, chinese-dialects, tsinghua-university, dataoceanai
  • mediumhomepage#2
    Add a homepage URL

    Why:

    COPY-PASTE FIX
    [Insert your project's official homepage URL here]

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 DataoceanAI/Dolphin
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 2 of 2 queries
COMPETITOR LEADERBOARD
  1. Google Cloud Speech-to-Text · recommended 2×
  2. AssemblyAI · recommended 2×
  3. Amazon Transcribe · recommended 1×
  4. Microsoft Azure Cognitive Services Speech · recommended 1×
  5. Baidu AI Cloud Speech · recommended 1×
  • CATEGORY QUERY
    What ASR solution offers voice activity detection and language ID for Asian languages?
    you: not recommended
    AI recommended (in order):
    1. Google Cloud Speech-to-Text
    2. Amazon Transcribe
    3. Microsoft Azure Cognitive Services Speech
    4. Baidu AI Cloud Speech
    5. Tencent Cloud Speech Recognition
    6. AssemblyAI
    7. Deepgram

    AI recommended 7 alternatives but never named DataoceanAI/Dolphin. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Seeking a highly accurate speech recognition model, optimized for ASR tasks, not translation.
    you: not recommended
    AI recommended (in order):
    1. OpenAI Whisper
    2. Google Cloud Speech-to-Text
    3. AssemblyAI
    4. AWS Transcribe
    5. Microsoft Azure Speech-to-Text
    6. DeepSpeech
    7. Picovoice Rhino Speech-to-Text

    AI recommended 7 alternatives but never named DataoceanAI/Dolphin. 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 DataoceanAI/Dolphin?
    pass
    AI named DataoceanAI/Dolphin explicitly

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

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

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

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