RRepoGEO

REPOGEO REPORT · LITE

kwaroran/Risuai

Default branch main · commit 358b6ae3 · scanned 5/12/2026, 3:21:56 AM

GitHub: 1,444 stars · 322 forks

AI VISIBILITY SCORE
40 /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
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 kwaroran/Risuai, 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 the README H1 to specify category

    Why:

    CURRENT
    Risuai, or Risu for short, is a cross platform AI chatting software / web application with powerful features such as multiple API support, assets in the chat, regex functions and much more.
    COPY-PASTE FIX
    Risuai, or Risu for short, is a cross-platform desktop application and web client designed for immersive AI roleplaying and creating interactive stories with LLM characters. It offers powerful features like multiple API support, in-chat assets, and regex functions.
  • hightopics#2
    Add more specific topics for AI roleplaying and desktop clients

    Why:

    CURRENT
    ai, characters, chat, chatbot, claude, gemini, gpt, llama, llm, mcp, mcp-client, mistral, roleplay, tauri
    COPY-PASTE FIX
    ai, characters, chat, chatbot, claude, gemini, gpt, llama, llm, mcp, mcp-client, mistral, roleplay, tauri, desktop-app, local-llm, ai-roleplay, interactive-story, story-generation
  • mediumreadme#3
    Explicitly mention local LLM support in the Features section

    Why:

    CURRENT
    Multiple API Supports**: Supports OpenAI, Claude, Gemini, DeepInfra, Ooba, OpenRouter... and More!
    COPY-PASTE FIX
    Multiple API Supports**: Supports OpenAI, Claude, Gemini, DeepInfra, Ooba (for local LLMs), OpenRouter... and More! Easily connect to both cloud-based and self-hosted large language models.

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 kwaroran/Risuai
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Inky
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. Inky · recommended 1×
  2. Twine · recommended 1×
  3. Articy:draft 3 · recommended 1×
  4. Chatfuel · recommended 1×
  5. ManyChat · recommended 1×
  • CATEGORY QUERY
    What's a good cross-platform application for creating interactive stories with AI characters?
    you: not recommended
    AI recommended (in order):
    1. Inky
    2. Twine
    3. Articy:draft 3
    4. Chatfuel
    5. ManyChat
    6. Unity
    7. Unreal Engine

    AI recommended 7 alternatives but never named kwaroran/Risuai. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Looking for a desktop client to chat with different large language models locally.
    you: not recommended
    AI recommended (in order):
    1. LM Studio
    2. Ollama
    3. Jan
    4. LocalAI
    5. GPT4All

    AI recommended 5 alternatives but never named kwaroran/Risuai. 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 kwaroran/Risuai?
    pass
    AI named kwaroran/Risuai explicitly

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

  • If a team adopts kwaroran/Risuai in production, what risks or prerequisites should they evaluate first?
    pass
    AI named kwaroran/Risuai 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 kwaroran/Risuai solve, and who is the primary audience?
    pass
    AI named kwaroran/Risuai 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 kwaroran/Risuai. 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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kwaroran/Risuai — 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
kwaroran/Risuai — RepoGEO report