RRepoGEO

REPOGEO REPORT · LITE

wan-h/awesome-digital-human-live2d

Default branch main · commit 69f9c022 · scanned 5/24/2026, 7:23:01 AM

GitHub: 2,344 stars · 336 forks

AI VISIBILITY SCORE
22 /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
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 wan-h/awesome-digital-human-live2d, 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 to clarify project type

    Why:

    CURRENT
    # AWESOME-DIGITAL-HUMAN
**打造有温度的数字人给数字人注入灵魂🎉🎉🎉 社区官网公测版本正式发布：https://www.light4ai.com
    COPY-PASTE FIX
    # Awesome-Digital-Human: A Lightweight Framework for AI-Powered Live2D Digital Humans
**一个轻量级、模块化的数字人框架，旨在通过集成ASR、LLM、TTS和Live2D技术，打造有温度的智能数字人。社区官网公测版本正式发布：https://www.light4ai.com
  • hightopics#2
    Add relevant GitHub topics

    Why:

    CURRENT
    (none)
    COPY-PASTE FIX
    digital-human, live2d, ai-assistant, llm, tts, asr, virtual-assistant, chatbot, framework, docker, dify, fastgpt, coze
  • mediumabout#3
    Update the GitHub repository description

    Why:

    CURRENT
    Awesome Digital Human
    COPY-PASTE FIX
    A lightweight, modular framework for building AI-powered Live2D digital humans, integrating ASR, LLM, TTS, and Agent orchestration (Dify, FastGPT, Coze).

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 wan-h/awesome-digital-human-live2d
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Live2D Cubism Editor
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. Live2D Cubism Editor · recommended 1×
  2. ElevenLabs · recommended 1×
  3. Google Cloud Text-to-Speech (WaveNet voices) · recommended 1×
  4. Azure AI Speech (Neural voices) · recommended 1×
  5. Amazon Polly (Neural voices) · recommended 1×
  • CATEGORY QUERY
    How to build an interactive digital human with AI voice and Live2D animation?
    you: not recommended
    AI recommended (in order):
    1. Live2D Cubism Editor
    2. ElevenLabs
    3. Google Cloud Text-to-Speech (WaveNet voices)
    4. Azure AI Speech (Neural voices)
    5. Amazon Polly (Neural voices)
    6. Rhubarb Lip Sync
    7. OVRLipSync
    8. DeepMotion
    9. Unity
    10. Live2D Cubism SDK for Unity
    11. Unreal Engine
    12. Live2D Cubism SDK for Unreal Engine
    13. VTube Studio
    14. Live2D Cubism SDK for Web

    AI recommended 14 alternatives but never named wan-h/awesome-digital-human-live2d. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Looking for a lightweight framework to deploy AI-powered virtual assistants with modular LLM integration.
    you: not recommended
    AI recommended (in order):
    1. Haystack
    2. LangChain
    3. LlamaIndex
    4. FastAPI
    5. Gradio

    AI recommended 5 alternatives but never named wan-h/awesome-digital-human-live2d. 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 wan-h/awesome-digital-human-live2d?
    pass
    AI did not name wan-h/awesome-digital-human-live2d — 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 wan-h/awesome-digital-human-live2d in production, what risks or prerequisites should they evaluate first?
    pass
    AI named wan-h/awesome-digital-human-live2d 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 wan-h/awesome-digital-human-live2d solve, and who is the primary audience?
    pass
    AI did not name wan-h/awesome-digital-human-live2d — 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?

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wan-h/awesome-digital-human-live2d — 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