RRepoGEO

REPOGEO REPORT · LITE

microsoft/ai-dev-gallery

Default branch main · commit 9b52f6e7 · scanned 6/22/2026, 10:11:56 AM

GitHub: 1,471 stars · 217 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
28 /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
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 microsoft/ai-dev-gallery, 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's opening paragraph to clarify purpose

    Why:

    CURRENT
    Designed for Windows developers, the AI Dev Gallery helps integrate AI capabilities into apps and projects. It includes: Explore over 25 interactive samples powered by local AI modelsEasily browse, download, and run models from Hugging Face and GitHubView the C# source code and export standalone Visual Studio projects with a single click
    COPY-PASTE FIX
    The AI Dev Gallery is a collection of **fully runnable Windows applications** designed for developers to learn how to integrate **local AI models** and APIs into their desktop apps. Explore over 25 interactive samples, easily browse, download, and run models from Hugging Face and GitHub, and view the C# source code to export standalone Visual Studio projects with a single click.
  • mediumhomepage#2
    Add homepage URL to repository metadata

    Why:

    COPY-PASTE FIX
    http://aka.ms/ai-dev-gallery-store
  • lowcomparison#3
    Add a 'What this is NOT' section to the README

    Why:

    COPY-PASTE FIX
    Add a new section to the README, perhaps titled 'What AI Dev Gallery is (and isn't)' or 'How it compares', with text like: 'The AI Dev Gallery is a collection of runnable sample applications, not an AI inference library or SDK. While many samples utilize powerful libraries like ONNX Runtime, this repository focuses on demonstrating end-to-end integration of local AI models into Windows desktop applications.'

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 microsoft/ai-dev-gallery
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
microsoft/onnxruntime
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. microsoft/onnxruntime · recommended 2×
  2. dotnet/machinelearning · recommended 2×
  3. SciSharp/TensorFlow.NET · recommended 1×
  4. dotnet/TorchSharp · recommended 1×
  5. openvinotoolkit/openvino · recommended 1×
  • CATEGORY QUERY
    How can I add local AI model inference capabilities to my C# Windows desktop app?
    you: not recommended
    AI recommended (in order):
    1. ONNX Runtime (microsoft/onnxruntime)
    2. ML.NET (dotnet/machinelearning)
    3. TensorFlow.NET (SciSharp/TensorFlow.NET)
    4. TorchSharp (dotnet/TorchSharp)
    5. OpenVINO (openvinotoolkit/openvino)
    6. LibTorch (pytorch/pytorch)
    7. TensorFlow C API (tensorflow/tensorflow)

    AI recommended 7 alternatives but never named microsoft/ai-dev-gallery. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Where can I find sample projects for building AI-powered features in Windows applications using .NET?
    you: not recommended
    AI recommended (in order):
    1. Microsoft's Windows AI Studio (microsoft/windows-ai-studio)
    2. ML.NET (dotnet/machinelearning)
    3. Windows Community Toolkit (CommunityToolkit/WindowsCommunityToolkit)
    4. Azure Cognitive Services
    5. ONNX Runtime (microsoft/onnxruntime)
    6. Pluralsight
    7. Udemy
    8. Coursera
    9. CodeProject
    10. Stack Overflow

    AI recommended 10 alternatives but never named microsoft/ai-dev-gallery. 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 microsoft/ai-dev-gallery?
    pass
    AI named microsoft/ai-dev-gallery explicitly

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

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

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MARKDOWN (README)
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microsoft/ai-dev-gallery — 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