RRepoGEO

REPOGEO REPORT · LITE

microsoft/vscode-ai-toolkit

Default branch main · commit 5b6a60c4 · scanned 6/23/2026, 11:11:57 AM

GitHub: 2,023 stars · 238 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
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/vscode-ai-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

3 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 and managing diverse AI models, with built-in access to Microsoft Foundry resources.
  • hightopics#2
    Add relevant topics for better categorization

    Why:

    COPY-PASTE FIX
    vscode-extension, ai-agents, machine-learning, model-management, foundry, microsoft-foundry, ide-tools, prompt-engineering
  • mediumhomepage#3
    Add a homepage URL to the repository

    Why:

    COPY-PASTE FIX
    [Add the official VS Code Marketplace URL for the extension here]

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/vscode-ai-toolkit
Avg rank
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
GitHub Copilot
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. GitHub Copilot · recommended 2×
  2. Tabnine · recommended 2×
  3. Visual Studio Code · recommended 1×
  4. Azure Machine Learning · recommended 1×
  5. Copilot Chat · recommended 1×
  • CATEGORY QUERY
    What's a good way to develop and deploy AI agents without leaving my IDE?
    you: not recommended
    AI recommended (in order):
    1. Visual Studio Code
    2. Azure Machine Learning
    3. GitHub Copilot
    4. Copilot Chat
    5. PyCharm Professional
    6. AWS SageMaker
    7. Tabnine
    8. Amazon CodeWhisperer
    9. JupyterLab
    10. Google Cloud Vertex AI
    11. Docker
    12. Kubernetes
    13. LangChain
    14. LlamaIndex
    15. AWS Fargate
    16. Google Cloud Run
    17. IntelliJ IDEA Ultimate
    18. Spring AI

    AI recommended 18 alternatives but never named microsoft/vscode-ai-toolkit. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Looking for an IDE extension to discover, evaluate, and manage diverse AI models and agents.
    you: not recommended
    AI recommended (in order):
    1. GitHub Copilot
    2. CodeGPT
    3. Continue (Continue-team/continue)
    4. Tabnine
    5. AWS Toolkit
    6. Azure AI Studio Extension
    7. Google Cloud Code

    AI recommended 7 alternatives but never named microsoft/vscode-ai-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/vscode-ai-toolkit?
    pass
    AI named microsoft/vscode-ai-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/vscode-ai-toolkit in production, what risks or prerequisites should they evaluate first?
    pass
    AI named microsoft/vscode-ai-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/vscode-ai-toolkit solve, and who is the primary audience?
    pass
    AI named microsoft/vscode-ai-toolkit explicitly

    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/vscode-ai-toolkit — 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