RRepoGEO

REPOGEO REPORT · LITE

jackdark425/aigroupapp

Default branch main · commit 4d26a41c · scanned 6/19/2026, 11:52:04 PM

GitHub: 1,099 stars · 51 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 jackdark425/aigroupapp, 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 opening to clarify mobile app identity and audience

    Why:

    CURRENT
    AI Group is a powerful mobile intelligent assistant application that integrates multiple large language models (LLMs) and AI services, providing you with a convenient intelligent interaction experience.
    COPY-PASTE FIX
    AI Group is a **ready-to-use mobile application** designed for **individual users** seeking a powerful intelligent assistant. It seamlessly integrates multiple large language models (LLMs) and AI services, providing a convenient and personalized interaction experience directly on your mobile device. This is not a development framework or a tool for managing AI agents.
  • hightopics#2
    Add relevant topics to improve categorization

    Why:

    COPY-PASTE FIX
    mobile-app, ai-assistant, llm, large-language-models, android, multi-model-ai, custom-llm-api, intelligent-assistant
  • highlicense#3
    Add a LICENSE file to the repository

    Why:

    COPY-PASTE FIX
    Create a LICENSE file (e.g., MIT, Apache-2.0, GPL-3.0) in the root of the repository to clearly state the terms of use.

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 jackdark425/aigroupapp
Avg rank
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Poe
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. Poe · recommended 1×
  2. Perplexity AI · recommended 1×
  3. Microsoft Copilot · recommended 1×
  4. ChatGPT (Official App) · recommended 1×
  5. Bard (Official App) · recommended 1×
  • CATEGORY QUERY
    What are the best mobile apps for integrating multiple large language models?
    you: not recommended
    AI recommended (in order):
    1. Poe
    2. Perplexity AI
    3. Microsoft Copilot
    4. ChatGPT (Official App)
    5. Bard (Official App)
    6. Shortcuts on iOS
    7. Tasker on Android
    8. OpenAI
    9. Anthropic
    10. Google AI Studio
    11. Janitor AI

    AI recommended 11 alternatives but never named jackdark425/aigroupapp. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    How to build a mobile AI assistant with custom LLM API endpoint support?
    you: not recommended
    AI recommended (in order):
    1. Flutter
    2. React Native
    3. SwiftUI
    4. Jetpack Compose
    5. Xamarin
    6. Ionic
    7. Capacitor
    8. Cordova
    9. http package
    10. Dio
    11. fetch API
    12. axios
    13. URLSession
    14. OkHttp
    15. Retrofit
    16. HttpClient

    AI recommended 16 alternatives but never named jackdark425/aigroupapp. 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 jackdark425/aigroupapp?
    pass
    AI named jackdark425/aigroupapp explicitly

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

  • If a team adopts jackdark425/aigroupapp in production, what risks or prerequisites should they evaluate first?
    pass
    AI named jackdark425/aigroupapp 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 jackdark425/aigroupapp solve, and who is the primary audience?
    pass
    AI named jackdark425/aigroupapp explicitly

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

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jackdark425/aigroupapp — 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