RRepoGEO

REPOGEO REPORT · LITE

microsoft/chat-copilot

Default branch main · commit 23b27821 · scanned 5/26/2026, 11:51:46 PM

GitHub: 2,437 stars · 778 forks

AI VISIBILITY SCORE
23 /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
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/chat-copilot, 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 comprehensive sample application and reference architecture for building an AI-powered chat copilot using Microsoft Semantic Kernel, a React frontend, and a .NET backend, demonstrating LLM and semantic memory integration.
  • mediumreadme#2
    Clarify the README's opening sentence to emphasize its full-stack sample nature

    Why:

    CURRENT
    This sample allows you to build your own integrated large language model (LLM) chat copilot.
    COPY-PASTE FIX
    This comprehensive sample application provides a full-stack reference architecture for building an AI-powered chat application, demonstrating best practices for integrating large language models (LLMs) and semantic memory using Microsoft Semantic Kernel, a React frontend, and a .NET backend.

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/chat-copilot
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
OpenAI
Recommended in 3 of 2 queries
COMPETITOR LEADERBOARD
  1. OpenAI · recommended 3×
  2. Azure OpenAI Service · recommended 2×
  3. LangChain · recommended 2×
  4. Hugging Face Hub · recommended 2×
  5. OpenAI API · recommended 1×
  • CATEGORY QUERY
    How to build an AI-powered chat application using a React frontend and .NET backend?
    you: not recommended
    AI recommended (in order):
    1. OpenAI API
    2. Azure OpenAI Service
    3. SignalR
    4. ASP.NET Core Web API
    5. React Query
    6. SWR
    7. Microsoft Semantic Kernel
    8. LangChain

    AI recommended 8 alternatives but never named microsoft/chat-copilot. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Examples of integrating large language models and semantic memory into web applications?
    you: not recommended
    AI recommended (in order):
    1. LangChain
    2. OpenAI
    3. Anthropic
    4. Hugging Face Hub
    5. Pinecone
    6. Weaviate
    7. Qdrant
    8. LlamaIndex
    9. OpenAI
    10. Hugging Face Hub
    11. Chroma
    12. FAISS
    13. Haystack
    14. Elasticsearch
    15. OpenSearch
    16. Hugging Face Transformers
    17. Deepset Cloud
    18. OpenAI
    19. Hugging Face
    20. Cohere Embed
    21. Cohere Rerank
    22. pgvector
    23. Supabase
    24. Google Cloud Vertex AI
    25. PaLM
    26. Gemini
    27. Vertex AI Matching Engine
    28. Azure OpenAI Service
    29. Azure Cognitive Search

    AI recommended 29 alternatives but never named microsoft/chat-copilot. 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/chat-copilot?
    pass
    AI named microsoft/chat-copilot 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/chat-copilot in production, what risks or prerequisites should they evaluate first?
    pass
    AI did not name microsoft/chat-copilot — 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?

  • In one sentence, what problem does the repo microsoft/chat-copilot solve, and who is the primary audience?
    pass
    AI named microsoft/chat-copilot explicitly

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

Embed your GEO score

Drop this badge into the README of microsoft/chat-copilot. It auto-updates whenever the report is rescanned and links back to the latest report — easy public proof that you care about AI discoverability.

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MARKDOWN (README)
[![RepoGEO](https://repogeo.com/badge/microsoft/chat-copilot.svg)](https://repogeo.com/en/r/microsoft/chat-copilot)
HTML
<a href="https://repogeo.com/en/r/microsoft/chat-copilot"><img src="https://repogeo.com/badge/microsoft/chat-copilot.svg" alt="RepoGEO" /></a>
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