RRepoGEO

REPOGEO REPORT · LITE

shuyu-labs/AntSK

Default branch main · commit 5e032e37 · scanned 6/25/2026, 8:33:23 AM

GitHub: 1,322 stars · 213 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)

3 ready scans. Expand the table below for newest-first rows (10 per page, paginated).

AI VISIBILITY SCORE
40 /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
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 shuyu-labs/AntSK, 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
  • hightopics#1
    Update and expand repository topics

    Why:

    CURRENT
    agnet, ai, dotnet, rag, sk
    COPY-PASTE FIX
    ai-agent, knowledge-base, ai-platform, dotnet, rag, semantic-kernel, kernel-memory, blazor, offline-ai, local-llm, aspire
  • highreadme#2
    Reposition the English README's opening statement

    Why:

    COPY-PASTE FIX
    AntSK is an enterprise-grade AI knowledge base and agent *platform* built with .NET 9 and Blazor. It integrates Semantic Kernel and Kernel Memory to deliver a complete AI application development *solution*, supporting local, offline large language models and running without an internet connection.
  • mediumreadme#3
    Clarify the project's license in the README

    Why:

    COPY-PASTE FIX
    ## License Information
AntSK is provided under [specify license name(s) here, e.g., 'a custom license' or 'a combination of X and Y licenses']. Please refer to the `LICENSE` file for full details.

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 shuyu-labs/AntSK
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Semantic Kernel
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. Semantic Kernel · recommended 1×
  2. microsoft/semantic-kernel · recommended 1×
  3. scanim/LLamaSharp · recommended 1×
  4. dotnet/machinelearning · recommended 1×
  5. microsoft/onnxruntime · recommended 1×
  • CATEGORY QUERY
    How to build an enterprise AI knowledge base using .NET with offline large language model support?
    you: not recommended
    AI recommended (in order):
    1. Semantic Kernel

    AI recommended 1 alternative but never named shuyu-labs/AntSK. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Seeking a .NET framework for creating AI agents with RAG and local model integration.
    you: not recommended
    AI recommended (in order):
    1. Semantic Kernel (microsoft/semantic-kernel)
    2. LLamaSharp (scanim/LLamaSharp)
    3. ML.NET (dotnet/machinelearning)
    4. ONNX Runtime (microsoft/onnxruntime)
    5. Ollama (ollama/ollama)
    6. OllamaSharp (OllamaSharp/OllamaSharp)

    AI recommended 6 alternatives but never named shuyu-labs/AntSK. 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 shuyu-labs/AntSK?
    pass
    AI named shuyu-labs/AntSK explicitly

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

  • If a team adopts shuyu-labs/AntSK in production, what risks or prerequisites should they evaluate first?
    pass
    AI named shuyu-labs/AntSK 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 shuyu-labs/AntSK solve, and who is the primary audience?
    pass
    AI named shuyu-labs/AntSK explicitly

    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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MARKDOWN (README)
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HTML
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shuyu-labs/AntSK — 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