RRepoGEO

REPOGEO REPORT · LITE

AkagawaTsurunaki/ZerolanLiveRobot

Default branch main · commit aad29d09 · scanned 6/2/2026, 5:32:26 PM

GitHub: 703 stars · 66 forks

AI VISIBILITY SCORE
27 /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
1 / 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 AkagawaTsurunaki/ZerolanLiveRobot, 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
    Add a concise English summary to the README

    Why:

    COPY-PASTE FIX
    # Zerolan Live Robot: An Open-Source AI VTuber System & Platform
    
    Zerolan Live Robot is a comprehensive, open-source AI VTuber system and platform designed to power your own AI virtual streamer for interactive live broadcasts, gaming (like Minecraft), and dynamic conversations. Inspired by projects like Neurosama, it integrates LLM, ASR, TTS, OCR, and CV technologies into a single, easy-to-use framework, requiring only a consumer-grade GPU. This multi-functional AI VTuber can understand speech, read live chat, interpret screen content, control game characters, and respond with emotional voice synthesis.
  • mediumtopics#2
    Expand topics to emphasize 'platform' and 'agent' aspects

    Why:

    CURRENT
    ai, ai-vtuber, asr, bilibili, cv, image-captioning, llm, minecraft, ocr, tts, video-captioning
    COPY-PASTE FIX
    ai, ai-vtuber, asr, bilibili, cv, image-captioning, llm, minecraft, ocr, tts, video-captioning, ai-agent, ai-platform, virtual-streamer
  • mediumcomparison#3
    Add a 'Comparison to Alternatives' section in the README

    Why:

    COPY-PASTE FIX
    ## Comparison to Alternatives
    
    Unlike generic streaming software (e.g., OBS Studio) or avatar trackers (e.g., VSeeFace), Zerolan Live Robot is a complete, integrated AI VTuber *system*. It goes beyond providing individual tools like computer vision libraries (e.g., OpenCV, Tesseract OCR) or automation scripts (e.g., PyAutoGUI) by offering a unified platform that combines LLM-driven conversation, ASR, TTS, OCR, CV, and game control into a single, ready-to-deploy solution for interactive AI virtual streamers.

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 AkagawaTsurunaki/ZerolanLiveRobot
Avg rank
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
VSeeFace
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. VSeeFace · recommended 1×
  2. OBS Studio · recommended 1×
  3. StreamerBot · recommended 1×
  4. Ready Player Me · recommended 1×
  5. Unity · recommended 1×
  • CATEGORY QUERY
    How can I build an AI virtual streamer with LLM for interactive live broadcasts?
    you: not recommended
    AI recommended (in order):
    1. VSeeFace
    2. OBS Studio
    3. StreamerBot
    4. Ready Player Me
    5. Unity
    6. NVIDIA Broadcast
    7. DeepMotion
    8. Unreal Engine
    9. Live2D Cubism
    10. VTube Studio
    11. OpenAI API
    12. Anthropic Claude API
    13. Google Gemini API
    14. Hugging Face Transformers
    15. ElevenLabs
    16. Google Cloud Text-to-Speech
    17. Microsoft Azure Text-to-Speech

    AI recommended 17 alternatives but never named AkagawaTsurunaki/ZerolanLiveRobot. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What open-source tools enable an AI agent to play games and understand screen content?
    you: not recommended
    AI recommended (in order):
    1. OpenCV
    2. Pillow
    3. mss
    4. PyAutoGUI
    5. Tesseract OCR
    6. Gym
    7. YOLO
    8. Detectron2

    AI recommended 8 alternatives but never named AkagawaTsurunaki/ZerolanLiveRobot. 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 AkagawaTsurunaki/ZerolanLiveRobot?
    pass
    AI did not name AkagawaTsurunaki/ZerolanLiveRobot — 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?

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