RRepoGEO

REPOGEO REPORT · LITE

microsoft/sample-app-aoai-chatGPT

Default branch main · commit 54f0af2c · scanned 6/25/2026, 11:52:08 AM

GitHub: 1,923 stars · 3,081 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
28 /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
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/sample-app-aoai-chatGPT, 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
    Add relevant topics to the repository

    Why:

    COPY-PASTE FIX
    azure-openai, chat-app, rag, retrieval-augmented-generation, enterprise-ai, sample-app, azure-ai-search, cosmosdb
  • highreadme#2
    Clarify the README's opening sentence to highlight RAG and Azure On Your Data

    Why:

    CURRENT
    This repo contains sample code for a simple chat webapp that integrates with Azure OpenAI.
    COPY-PASTE FIX
    This repo provides sample code for a complete, enterprise-ready Retrieval Augmented Generation (RAG) chat application built with Azure OpenAI, specifically demonstrating "Azure OpenAI On Your Data" capabilities.
  • mediumhomepage#3
    Add a homepage URL to the repository metadata

    Why:

    COPY-PASTE FIX
    https://learn.microsoft.com/en-us/azure/ai-services/openai/

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/sample-app-aoai-chatGPT
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Anthropic
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. Anthropic · recommended 2×
  2. LangChain · recommended 1×
  3. Streamlit · recommended 1×
  4. Gradio · recommended 1×
  5. OpenAI · recommended 1×
  • CATEGORY QUERY
    Looking for sample code to build a web chat application integrating with large language models and custom data.
    you: not recommended
    AI recommended (in order):
    1. LangChain
    2. Streamlit
    3. Gradio
    4. OpenAI
    5. Hugging Face
    6. LlamaIndex
    7. Flask
    8. Django
    9. Node.js
    10. Express
    11. OpenAI API (openai/openai-cookbook)
    12. Hugging Face Transformers
    13. FastAPI
    14. Hugging Face Spaces
    15. Next.js
    16. Vercel AI SDK
    17. Anthropic
    18. Microsoft Semantic Kernel

    AI recommended 18 alternatives but never named microsoft/sample-app-aoai-chatGPT. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    How to implement a conversational AI experience leveraging existing enterprise data sources?
    you: not recommended
    AI recommended (in order):
    1. Azure OpenAI Service
    2. OpenAI API
    3. GPT-4
    4. GPT-3.5 Turbo
    5. Azure AI Search
    6. Pinecone
    7. Weaviate
    8. OpenAI's `text-embedding-ada-002` model
    9. Google Cloud's Dialogflow CX
    10. Vertex AI Search and Conversation
    11. PaLM 2
    12. AWS Lex
    13. Amazon Kendra
    14. Dialogflow ES
    15. Rasa Open Source
    16. FAISS
    17. Milvus
    18. ChromaDB
    19. sentence-transformers
    20. Llama 2
    21. Anthropic
    22. Microsoft Power Virtual Agents
    23. Microsoft Dataverse
    24. SharePoint
    25. Azure SQL Database
    26. Power Automate

    AI recommended 26 alternatives but never named microsoft/sample-app-aoai-chatGPT. 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 microsoft/sample-app-aoai-chatGPT?
    pass
    AI named microsoft/sample-app-aoai-chatGPT 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/sample-app-aoai-chatGPT in production, what risks or prerequisites should they evaluate first?
    pass
    AI named microsoft/sample-app-aoai-chatGPT 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/sample-app-aoai-chatGPT solve, and who is the primary audience?
    pass
    AI did not name microsoft/sample-app-aoai-chatGPT — 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?

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microsoft/sample-app-aoai-chatGPT — 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