RRepoGEO

REPOGEO REPORT · LITE

mylxsw/aidea

Default branch main · commit cea454f7 · scanned 5/26/2026, 1:37:04 AM

GitHub: 6,943 stars · 1,046 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 mylxsw/aidea, 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's opening statement to emphasize 'full-stack application'

    Why:

    CURRENT
    An APP that integrates mainstream large language models and image generation models, built with Flutter, with fully open-source code.
    COPY-PASTE FIX
    AIdea is a comprehensive, open-source, self-hostable full-stack application for AI chat and image generation, built with Flutter. It provides a ready-to-deploy solution for individuals and teams seeking a unified AI assistant.
  • mediumtopics#2
    Add topics emphasizing 'application' and 'self-hostable' nature

    Why:

    CURRENT
    ai, chatbot, flutter, gpt, gpt-4, stable-diffusion, tongyiqianwen, wenxinyiyan
    COPY-PASTE FIX
    ai, chatbot, flutter, gpt, gpt-4, stable-diffusion, tongyiqianwen, wenxinyiyan, ai-application, self-hosted, full-stack, ai-solution, deployable
  • lowabout#3
    Refine the GitHub 'About' description to explicitly state it's a deployable full-stack application

    Why:

    CURRENT
    An APP that integrates mainstream large language models and image generation models, built with Flutter, with fully open-source code.
    COPY-PASTE FIX
    A comprehensive, open-source, self-hostable full-stack application for AI chat and image generation, built with Flutter. Provides a ready-to-deploy solution for individuals and teams.

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 mylxsw/aidea
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Flutter
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. Flutter · recommended 1×
  2. Google Cloud AI · recommended 1×
  3. OpenAI API · recommended 1×
  4. Google Cloud Dialogflow · recommended 1×
  5. Google Cloud Vertex AI · recommended 1×
  • CATEGORY QUERY
    How to build a cross-platform mobile app integrating AI chatbots and image generation?
    you: not recommended
    AI recommended (in order):
    1. Flutter
    2. Google Cloud AI
    3. OpenAI API
    4. Google Cloud Dialogflow
    5. Google Cloud Vertex AI
    6. OpenAI DALL-E API
    7. React Native
    8. Expo
    9. Xamarin.Forms
    10. .NET MAUI
    11. Azure Bot Service
    12. Azure OpenAI Service
    13. Ionic
    14. Capacitor
    15. Cordova

    AI recommended 15 alternatives but never named mylxsw/aidea. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Looking for an open-source full-stack solution to deploy a custom AI chat and image generation service.
    you: not recommended
    AI recommended (in order):
    1. Next.js (vercel/next.js)
    2. Vercel AI SDK (vercel/ai)
    3. FastAPI (tiangolo/fastapi)
    4. PostgreSQL
    5. Hugging Face
    6. OpenAI APIs
    7. Streamlit (streamlit/streamlit)
    8. LangChain (langchain-ai/langchain)
    9. Nuxt.js (nuxt/nuxt)
    10. Nuxt AI (nuxt-modules/ai)
    11. NestJS (nestjs/nest)
    12. MongoDB
    13. Django (django/django)
    14. Django REST Framework (encode/django-rest-framework)
    15. React (facebook/react)
    16. Vue.js (vuejs/core)
    17. SvelteKit (sveltejs/kit)
    18. Express.js (expressjs/express)
    19. SQLite

    AI recommended 19 alternatives but never named mylxsw/aidea. 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 mylxsw/aidea?
    pass
    AI named mylxsw/aidea explicitly

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

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

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

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mylxsw/aidea — Lite scans stay free; this card itemizes Pro deep limits vs Lite.

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  • Brand-free category queries5 vs 2 in Lite
  • Prioritized action items8 vs 3 in Lite