RRepoGEO

REPOGEO REPORT · LITE

dotnet/smartcomponents

Default branch main · commit bd1c9e75 · scanned 6/10/2026, 2:21:43 AM

GitHub: 509 stars · 57 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
35 /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
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 dotnet/smartcomponents, 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
  • highreadme#1
    Reposition the README's opening sentence to clarify the 'AI-powered UI components' niche

    Why:

    CURRENT
    .NET Smart Components shows you **how to add genuinely useful AI-powered features to your .NET apps quickly, easily, and without risking wasted effort.**
    COPY-PASTE FIX
    .NET Smart Components provides **reusable, AI-powered UI components** to quickly and easily add genuinely useful AI features to your .NET apps, without redesigning your UX or deep AI expertise.
  • mediumhomepage#2
    Add a homepage URL to the repository metadata

    Why:

    COPY-PASTE FIX
    https://github.com/dotnet/smartcomponents#readme

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/smartcomponents
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Azure Cognitive Services
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. Azure Cognitive Services · recommended 1×
  2. Azure OpenAI Service · recommended 1×
  3. Azure AI Vision · recommended 1×
  4. Azure AI Language · recommended 1×
  5. Azure AI Speech · recommended 1×
  • CATEGORY QUERY
    How to easily add AI capabilities to my existing .NET web application?
    you: not recommended
    AI recommended (in order):
    1. Azure Cognitive Services
    2. Azure OpenAI Service
    3. Azure AI Vision
    4. Azure AI Language
    5. Azure AI Speech
    6. ML.NET
    7. Semantic Kernel
    8. OpenAI API
    9. OpenAI-DotNet
    10. Hugging Face Transformers
    11. Python.NET
    12. Google Cloud AI Platform
    13. Cloud Vision API
    14. Cloud Natural Language API
    15. Vertex AI

    AI recommended 15 alternatives but never named dotnet/smartcomponents. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Looking for prebuilt intelligent UI components to enhance productivity in .NET apps.
    you: not recommended
    AI recommended (in order):
    1. DevExpress UI for .NET
    2. Telerik UI for .NET
    3. Syncfusion Essential Studio for .NET
    4. Infragistics Ultimate
    5. ActiPro Software
    6. ComponentOne Studio

    AI recommended 6 alternatives but never named dotnet/smartcomponents. 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 dotnet/smartcomponents?
    pass
    AI named dotnet/smartcomponents 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/smartcomponents in production, what risks or prerequisites should they evaluate first?
    pass
    AI named dotnet/smartcomponents 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/smartcomponents solve, and who is the primary audience?
    pass
    AI named dotnet/smartcomponents explicitly

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

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dotnet/smartcomponents — 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