RRepoGEO

REPOGEO REPORT · LITE

jackdark425/aigroupapp

Default branch main · commit 4d26a41c · scanned 5/10/2026, 2:27:15 AM

GitHub: 1,100 stars · 51 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 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
  • highlicense#1
    Add a LICENSE file to the repository root

    Why:

    COPY-PASTE FIX
    Create a `LICENSE` file in the repository root with your chosen open-source license (e.g., MIT, Apache-2.0, GPL-3.0).
  • hightopics#2
    Add relevant topics to improve categorization

    Why:

    CURRENT
    (none)
    COPY-PASTE FIX
    ["mobile-app", "ai-assistant", "llm-integration", "android-app", "kotlin", "multi-model"]
  • mediumreadme#3
    Add a 'Get the App' section to the README

    Why:

    COPY-PASTE FIX
    Add a new section titled '⬇️ Get the App' or '🚀 Download & Use' immediately after 'Core Features' with links to app stores or direct APK downloads, if available.

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
Kotlin Multiplatform Mobile (KMM)
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. Kotlin Multiplatform Mobile (KMM) · recommended 2×
  2. SwiftUI · recommended 2×
  3. Jetpack Compose · recommended 2×
  4. flutter/flutter · recommended 1×
  5. langchain-ai/langchain · recommended 1×
  • CATEGORY QUERY
    How can I create a mobile intelligent assistant integrating multiple large language models?
    you: not recommended
    AI recommended (in order):
    1. Flutter (flutter/flutter)
    2. LangChain (langchain-ai/langchain)
    3. OpenAI API
    4. Anthropic Claude API
    5. Google Gemini API
    6. FastAPI (tiangolo/fastapi)
    7. React Native (facebook/react-native)
    8. LlamaIndex (run-llama/llama_index)
    9. Hugging Face Transformers (huggingface/transformers)
    10. Flask (pallets/flask)
    11. Django (django/django)
    12. Kotlin Multiplatform Mobile (KMM)
    13. Semantic Kernel (microsoft/semantic-kernel)
    14. Azure OpenAI Service
    15. Cohere API
    16. Ktor (ktorio/ktor)
    17. SwiftUI
    18. Jetpack Compose
    19. LiteLLM (BerriAI/litellm)
    20. Perplexity AI API
    21. Mistral AI API
    22. Node.js (nodejs/node)
    23. Express (expressjs/express)
    24. Streamlit (streamlit/streamlit)
    25. Gradio (gradio-app/gradio)
    26. Haystack (deepset-ai/haystack)

    AI recommended 26 alternatives but never named jackdark425/aigroupapp. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Seeking a mobile application that supports custom large language model integrations.
    you: not recommended
    AI recommended (in order):
    1. Flutter
    2. React Native
    3. Kotlin Multiplatform Mobile (KMM)
    4. SwiftUI
    5. Jetpack Compose
    6. Ionic
    7. Capacitor
    8. Xamarin
    9. .NET MAUI

    AI recommended 9 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?

Embed your GEO score

Drop this badge into the README of jackdark425/aigroupapp. It auto-updates whenever the report is rescanned and links back to the latest report — easy public proof that you care about AI discoverability.

RepoGEO badge previewLive preview
MARKDOWN (README)
[![RepoGEO](https://repogeo.com/badge/jackdark425/aigroupapp.svg)](https://repogeo.com/en/r/jackdark425/aigroupapp)
HTML
<a href="https://repogeo.com/en/r/jackdark425/aigroupapp"><img src="https://repogeo.com/badge/jackdark425/aigroupapp.svg" alt="RepoGEO" /></a>
Pro

Subscribe to Pro for deep diagnoses

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