RRepoGEO

REPOGEO REPORT · LITE

kleinlee/MiniMates

Default branch main · commit 27f73829 · scanned 6/9/2026, 4:01:58 AM

GitHub: 580 stars · 74 forks

AI VISIBILITY SCORE
30 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
1 pass · 0 warn · 1 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 kleinlee/MiniMates, 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
  • hightopics#1
    Add relevant English topics to the repository

    Why:

    COPY-PASTE FIX
    digital-human, ai-avatar, real-time, voice-driven, expression-driven, desktop-app, one-shot, ai-companion, virtual-character, generative-ai
  • highlicense#2
    Add a LICENSE file to the repository

    Why:

    COPY-PASTE FIX
    Create a LICENSE file in the repository root with the content of an MIT License (or another suitable open-source license).
  • highreadme#3
    Add a concise English introduction to the README

    Why:

    CURRENT
    # MiniMates

MiniMates 是一款轻量级的图片数字人驱动算法，比liveportrait、EchoMimic、MuseTalk等算法快10-100倍，支持语音驱动和表情驱动两种模式，并嵌入普通电脑实时运行，让用户能够定制自己的ai伙伴。
    COPY-PASTE FIX
    # MiniMates

MiniMates is the fastest, lightweight digital human driving algorithm, 10-100 times faster than algorithms like LivePortrait, EchoMimic, and MuseTalk. It supports both voice and expression-driven modes, running in real-time on ordinary desktop computers, allowing users to customize their own AI companions.

MiniMates 是一款轻量级的图片数字人驱动算法，比liveportrait、EchoMimic、MuseTalk等算法快10-100倍，支持语音驱动和表情驱动两种模式，并嵌入普通电脑实时运行，让用户能够定制自己的ai伙伴。

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 kleinlee/MiniMates
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Animaze by FaceRig
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. Animaze by FaceRig · recommended 2×
  2. VSeeFace/VSeeFace · recommended 1×
  3. kalidoface/kalidoface · recommended 1×
  4. VRoid Studio · recommended 1×
  5. Luppet · recommended 1×
  • CATEGORY QUERY
    Looking for a fast, lightweight solution to create real-time voice-driven digital avatars on a desktop.
    you: not recommended
    AI recommended (in order):
    1. VSeeFace (VSeeFace/VSeeFace)
    2. Kalidoface (kalidoface/kalidoface)
    3. Animaze by FaceRig
    4. VRoid Studio
    5. Luppet
    6. Unity
    7. OVRLipSync (Oculus-VR/OVRLipSync)
    8. OpenCV for Unity (EnlightenedOne/OpenCVForUnity)

    AI recommended 8 alternatives but never named kleinlee/MiniMates. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    How to generate expressive virtual companions from a single image for multi-platform deployment?
    you: not recommended
    AI recommended (in order):
    1. Ready Player Me
    2. Character Creator 4
    3. Headshot Plugin
    4. MetaHuman Creator
    5. Blender
    6. FaceBuilder for Blender
    7. FaceRig
    8. Animaze by FaceRig
    9. Auto-Rig Pro
    10. Mixamo

    AI recommended 10 alternatives but never named kleinlee/MiniMates. This is the gap to close.

    Show full AI answer

Objective checks

Rule-based audits of metadata signals AI engines weight most.

  • Metadata completeness
    fail

    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 kleinlee/MiniMates?
    pass
    AI named kleinlee/MiniMates explicitly

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

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

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

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kleinlee/MiniMates — 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