RRepoGEO

REPOGEO REPORT · LITE

dotnet/maui-samples

Default branch main · commit 0180c4d2 · scanned 5/17/2026, 11:41:34 AM

GitHub: 3,637 stars · 1,488 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
33 /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
2 / 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 dotnet/maui-samples, 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 repo's role as official samples

    Why:

    CURRENT
    Samples built with .NET Multi-platform App UI (.NET MAUI).
    COPY-PASTE FIX
    This repository is the official, comprehensive collection of samples for .NET Multi-platform App UI (.NET MAUI), designed to help developers quickly learn and implement cross-platform mobile and desktop applications with C# and XAML.
  • mediumreadme#2
    Add a 'Getting Started' section to guide users on running samples

    Why:

    COPY-PASTE FIX
    ## Getting Started with .NET MAUI Samples
To begin building with .NET MAUI, ensure you have the latest .NET MAUI workload installed (see [official MAUI documentation](https://learn.microsoft.com/dotnet/maui/get-started/installation)). Each sample in this repository is a complete, runnable project. Simply clone the repository, navigate to a sample folder (e.g., `10.0/AI/ChatClient`), and open the solution in Visual Studio or run it from the command line.
  • lowtopics#3
    Add more specific 'example' and 'sample' related topics

    Why:

    CURRENT
    android, dotnet, dotnet-maui, dotnetmaui, hacktoberfest, ios, mac-catalyst, macos, windows, winui3
    COPY-PASTE FIX
    android, dotnet, dotnet-maui, dotnetmaui, hacktoberfest, ios, mac-catalyst, macos, windows, winui3, cross-platform-examples, mobile-app-samples, desktop-app-samples, xaml-ui-examples

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 dotnet/maui-samples
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
.NET MAUI
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. .NET MAUI · recommended 2×
  2. Uno Platform · recommended 2×
  3. Xamarin.Forms · recommended 2×
  4. Avalonia UI · recommended 2×
  5. Eto.Forms · recommended 2×
  • CATEGORY QUERY
    How can I build a single C# codebase for mobile and desktop applications?
    you: not recommended
    AI recommended (in order):
    1. .NET MAUI
    2. Uno Platform
    3. Xamarin.Forms
    4. Avalonia UI
    5. Eto.Forms

    AI recommended 5 alternatives but never named dotnet/maui-samples. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Seeking examples of C# and XAML UI applications running on Android, iOS, and Windows.
    you: not recommended
    AI recommended (in order):
    1. .NET MAUI
    2. Xamarin.Forms
    3. Uno Platform
    4. Avalonia UI
    5. Eto.Forms

    AI recommended 5 alternatives but never named dotnet/maui-samples. 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 dotnet/maui-samples?
    pass
    AI named dotnet/maui-samples explicitly

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

  • If a team adopts dotnet/maui-samples in production, what risks or prerequisites should they evaluate first?
    pass
    AI named dotnet/maui-samples 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 dotnet/maui-samples solve, and who is the primary audience?
    pass
    AI did not name dotnet/maui-samples — 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

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dotnet/maui-samples — 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