RRepoGEO

REPOGEO REPORT · LITE

microsoft/sample-app-aoai-chatGPT

Default branch main · commit 54f0af2c · scanned 5/14/2026, 9:52:57 PM

GitHub: 1,921 stars · 3,098 forks

AI VISIBILITY SCORE
22 /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
1 / 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 specific topics for Azure OpenAI and enterprise data

    Why:

    COPY-PASTE FIX
    azure-openai, chatgpt, llm, rag, enterprise-ai, sample-app, azure-ai-search
  • highreadme#2
    Reposition the README's H1 to highlight 'Azure OpenAI On Your Data'

    Why:

    CURRENT
    # [Preview] Sample Chat App with AOAI
    COPY-PASTE FIX
    # [Preview] Enterprise Chat App with Azure OpenAI On Your Data
  • mediumhomepage#3
    Add a homepage URL to the repository

    Why:

    COPY-PASTE FIX
    https://learn.microsoft.com/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
Gradio
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. Gradio · recommended 1×
  2. Streamlit · recommended 1×
  3. LangChain · recommended 1×
  4. Flask · recommended 1×
  5. FastAPI · recommended 1×
  • CATEGORY QUERY
    How can I quickly develop a web-based chat interface using a large language model?
    you: not recommended
    AI recommended (in order):
    1. Gradio
    2. Streamlit
    3. LangChain
    4. Flask
    5. FastAPI
    6. Next.js
    7. Vercel AI SDK
    8. Hugging Face Spaces

    AI recommended 8 alternatives but never named microsoft/sample-app-aoai-chatGPT. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What are good examples for building a conversational AI app with enterprise data?
    you: not recommended
    AI recommended (in order):
    1. Azure AI Studio
    2. Azure OpenAI Service
    3. Azure AI Search
    4. Dialogflow CX
    5. Vertex AI
    6. AWS Lex
    7. Amazon Bedrock
    8. Amazon Kendra
    9. Amazon S3
    10. Rasa (RasaHQ/rasa)
    11. OpenAI API
    12. Llama 2
    13. Elasticsearch (elastic/elasticsearch)
    14. PostgreSQL
    15. LlamaIndex (run-llama/llama_index)
    16. LangChain (langchain-ai/langchain)
    17. Pinecone
    18. Weaviate (weaviate/weaviate)
    19. ChromaDB (chromaj-ai/chroma)
    20. Hugging Face
    21. Mistral
    22. Falcon
    23. Transformers (huggingface/transformers)

    AI recommended 23 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 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?

  • 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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  • Brand-free category queries5 vs 2 in Lite
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