RRepoGEO

REPOGEO REPORT · LITE

Nathan-code-development/AIApplication

Default branch main · commit 748eb858 · scanned 6/17/2026, 12:43:37 AM

GitHub: 577 stars · 23 forks

AI VISIBILITY SCORE
22 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
1 pass · 1 warn · 0 fail
Objective metadata checks
AI knows your name
1 / 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 Nathan-code-development/AIApplication, 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
    Refine the About description for clarity and differentiation

    Why:

    CURRENT
    AI model square and chat with AI.
    COPY-PASTE FIX
    A cross-platform .NET MAUI mobile application for multi-model AI chat, featuring DeepSeek, Doubao, Qwen, model comparison, and user profiles.
  • mediumhomepage#2
    Add a homepage URL

    Why:

    COPY-PASTE FIX
    Add a URL to a live demo or project page for the application.

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 Nathan-code-development/AIApplication
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
React Native
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. React Native · recommended 1×
  2. Flutter · recommended 1×
  3. .NET MAUI · recommended 1×
  4. Ionic · recommended 1×
  5. NativeScript · recommended 1×
  • CATEGORY QUERY
    What cross-platform mobile frameworks support integrating multiple large language models?
    you: not recommended
    AI recommended (in order):
    1. React Native
    2. Flutter
    3. .NET MAUI
    4. Ionic
    5. NativeScript
    6. KMM (Kotlin Multiplatform Mobile)

    AI recommended 6 alternatives but never named Nathan-code-development/AIApplication. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    How to build a mobile AI chat app with model comparison and user profiles?
    you: not recommended
    AI recommended (in order):
    1. Flutter (flutter/flutter)
    2. Firebase
    3. Firebase Authentication
    4. Cloud Firestore
    5. Cloud Functions for Firebase
    6. Firebase ML Kit
    7. React Native (facebook/react-native)
    8. AWS Amplify (aws-amplify/amplify-js)
    9. AWS Cognito
    10. AWS AppSync
    11. DynamoDB
    12. AWS Lambda
    13. Amazon Sagemaker
    14. SwiftUI
    15. Kotlin Multiplatform Mobile (JetBrains/kotlin)
    16. Supabase (supabase/supabase)
    17. PostgreSQL (postgres/postgres)
    18. Supabase Auth
    19. Supabase Database
    20. Supabase Functions
    21. Xamarin.Forms (xamarin/xamarin.forms)
    22. Azure Mobile Apps
    23. Azure Active Directory B2C
    24. Azure Cosmos DB
    25. Azure Functions
    26. UIKit
    27. Jetpack Compose (androidx/androidx)
    28. Hasura (hasura/graphql-engine)
    29. Node.js (nodejs/node)
    30. Express (expressjs/express)
    31. Python (python/cpython)
    32. FastAPI (tiangolo/fastapi)

    AI recommended 32 alternatives but never named Nathan-code-development/AIApplication. This is the gap to close.

    Show full AI answer

Objective checks

Rule-based audits of metadata signals AI engines weight most.

  • Metadata completeness
    warn

    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 Nathan-code-development/AIApplication?
    pass
    AI did not name Nathan-code-development/AIApplication — likely talking about a different project

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

  • If a team adopts Nathan-code-development/AIApplication in production, what risks or prerequisites should they evaluate first?
    pass
    AI named Nathan-code-development/AIApplication 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 Nathan-code-development/AIApplication solve, and who is the primary audience?
    pass
    AI did not name Nathan-code-development/AIApplication — likely talking about a different project

    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 Nathan-code-development/AIApplication. 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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  • Deep reports10 / month
  • Brand-free category queries5 vs 2 in Lite
  • Prioritized action items8 vs 3 in Lite