RRepoGEO

REPOGEO REPORT · LITE

microsoft/foundry-toolkit

Default branch main · commit dcfe0541 · scanned 5/30/2026, 10:31:44 AM

GitHub: 2,008 stars · 234 forks

AI VISIBILITY SCORE
30 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
1 pass · 0 warn · 1 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 microsoft/foundry-toolkit, 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
    Add a concise repository description

    Why:

    COPY-PASTE FIX
    A Visual Studio Code extension for building, testing, and deploying AI agents, with integrated access to Microsoft Foundry for model and agent management.
  • mediumreadme#2
    Strengthen the README's opening sentence to emphasize AI agent development

    Why:

    CURRENT
    Microsoft Foundry Toolkit is the new name for AI Toolkit. It is a Visual Studio Code extension that helps you build AI agents quickly, with built-in access to Microsoft Foundry resources for model deployment, agent management, and more without leaving VS Code.
    COPY-PASTE FIX
    Microsoft Foundry Toolkit is a Visual Studio Code extension designed to help you build, test, and deploy AI agents quickly. It provides built-in access to Microsoft Foundry resources for model deployment, agent management, and more, all without leaving VS Code.

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/foundry-toolkit
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
LangChain
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. LangChain · recommended 2×
  2. LlamaIndex · recommended 2×
  3. Vercel · recommended 1×
  4. Google Cloud Run · recommended 1×
  5. Haystack · recommended 1×
  • CATEGORY QUERY
    How to build, test, and deploy AI agents efficiently from a development environment?
    you: not recommended
    AI recommended (in order):
    1. LangChain
    2. Vercel
    3. LlamaIndex
    4. Google Cloud Run
    5. Haystack
    6. AWS Lambda
    7. Microsoft Semantic Kernel
    8. Azure App Service
    9. OpenAI Assistants API
    10. Netlify Functions

    AI recommended 10 alternatives but never named microsoft/foundry-toolkit. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What tools help integrate various AI models and manage agent deployments in one place?
    you: not recommended
    AI recommended (in order):
    1. LangChain
    2. LlamaIndex
    3. Microsoft Azure Machine Learning
    4. Google Cloud Vertex AI
    5. Hugging Face Transformers/Inference Endpoints
    6. Kubeflow
    7. MLflow

    AI recommended 7 alternatives but never named microsoft/foundry-toolkit. This is the gap to close.

    Show full AI answer

Objective checks

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

  • Metadata completeness
    fail

    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/foundry-toolkit?
    pass
    AI named microsoft/foundry-toolkit 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/foundry-toolkit in production, what risks or prerequisites should they evaluate first?
    pass
    AI named microsoft/foundry-toolkit 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/foundry-toolkit solve, and who is the primary audience?
    pass
    AI named microsoft/foundry-toolkit 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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