RRepoGEO

REPOGEO REPORT · LITE

pixiv/ChatVRM

Default branch main · commit b542aa00 · scanned 6/10/2026, 2:32:38 AM

GitHub: 843 stars · 271 forks

Scan history for this repo

Score trend below includes all ready runs (older left, newer right; scroll horizontally if needed). The table is collapsed by default—expand for newest-first rows, 10 per page.

Score trend (left → right: older → newer)

2 ready scans. Expand the table below for newest-first rows (10 per page, paginated).

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 pixiv/ChatVRM, 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
  • highabout#1
    Add a concise project description

    Why:

    COPY-PASTE FIX
    A browser-based demo application for interactive conversations with 3D VRM characters, utilizing AI for speech recognition and emotional text-to-speech. This project is archived; see local-chat-vrm for active development.
  • mediumreadme#2
    Add a clear English summary to the top of the README

    Why:

    COPY-PASTE FIX
    This repository, ChatVRM, is an archived demonstration project for interactive conversations with 3D VRM characters in a web browser, utilizing AI for speech recognition and emotional text-to-speech. For active development, please refer to the related project `local-chat-vrm`.

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 pixiv/ChatVRM
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Unity
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. Unity · recommended 1×
  2. Unreal Engine · recommended 1×
  3. mrdoob/three.js · recommended 1×
  4. Blender · recommended 1×
  5. Autodesk Maya · recommended 1×
  • CATEGORY QUERY
    What are the best tools for creating a web application with interactive 3D character conversations?
    you: not recommended
    AI recommended (in order):
    1. Unity
    2. Unreal Engine
    3. Three.js (mrdoob/three.js)
    4. Blender
    5. Autodesk Maya
    6. Mixamo
    7. Babylon.js (BabylonJS/Babylon.js)
    8. Ready Player Me
    9. Google Dialogflow
    10. IBM Watson Assistant
    11. OpenAI GPT
    12. Azure Bot Service

    AI recommended 12 alternatives but never named pixiv/ChatVRM. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    How can I implement AI-powered speech recognition and emotional text-to-speech for 3D avatars?
    you: not recommended
    AI recommended (in order):
    1. NVIDIA Riva
    2. NVIDIA Omniverse Audio2Face
    3. Google Cloud Speech-to-Text
    4. Google Cloud Text-to-Speech
    5. Amazon Transcribe
    6. Amazon Polly
    7. Azure Speech Service
    8. ElevenLabs
    9. OpenAI Whisper (openai/whisper)
    10. DeepMotion

    AI recommended 10 alternatives but never named pixiv/ChatVRM. 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 pixiv/ChatVRM?
    pass
    AI named pixiv/ChatVRM explicitly

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

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

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

Embed your GEO score

Drop this badge into the README of pixiv/ChatVRM. It auto-updates whenever the report is rescanned and links back to the latest report — easy public proof that you care about AI discoverability.

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MARKDOWN (README)
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HTML
<a href="https://repogeo.com/en/r/pixiv/ChatVRM"><img src="https://repogeo.com/badge/pixiv/ChatVRM.svg" alt="RepoGEO" /></a>
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pixiv/ChatVRM — 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