REPOGEO REPORT · LITE

Azure-Samples/azure-search-openai-demo

Default branch main · commit 8997bf51 · scanned 5/23/2026, 8:21:39 AM

GitHub: 7,664 stars · 5,447 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

27 /100

Critical

Category recall

0 / 2

Not recommended in any query

Rule findings

2 pass · 0 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 Azure-Samples/azure-search-openai-demo, 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

highreadme#1

Reposition README H1 and first sentence to clarify its role as an Azure sample and reference architecture

Why:

CURRENT

# RAG chat app with Azure OpenAI and Azure AI Search (Python)

This solution creates a ChatGPT-like frontend experience over your own documents using RAG (Retrieval Augmented Generation).

COPY-PASTE FIX

# Azure RAG Chat App Sample with Azure OpenAI and Azure AI Search (Python)

This official Azure sample provides a production-ready reference architecture for building a ChatGPT-like frontend experience over your own documents using RAG (Retrieval Augmented Generation).

mediumtopics#2

Add 'rag' to the repository topics

Why:

CURRENT

ai-azd-templates, azd-templates, azure, azure-ai-search, azurecognitivesearch, azureopenai, chatgpt, openai

COPY-PASTE FIX

ai-azd-templates, azd-templates, azure, azure-ai-search, azurecognitivesearch, azureopenai, chatgpt, openai, rag

lowreadme#3
Explicitly state the target audience in the README's opening section
Why:
COPY-PASTE FIX
```
This sample is designed for developers and AI engineers looking to build custom RAG applications on Azure.
```

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 Azure-Samples/azure-search-openai-demo

Avg rank

—

Lower is better. #1 = top recommendation.

Share of voice

Of all named tools, what % are you?

Top rival

LlamaIndex

Recommended in 1 of 2 queries

COMPETITOR LEADERBOARD

LlamaIndex · recommended 1×
LangChain · recommended 1×
Haystack · recommended 1×
Faiss · recommended 1×
Weaviate · recommended 1×

CATEGORY QUERY
How to build a custom Q&A system using large language models and document retrieval?
you: not recommended
AI recommended (in order):
1. LlamaIndex
2. LangChain
3. Haystack
4. Faiss
5. Weaviate
6. Pinecone
7. Chroma
AI recommended 7 alternatives but never named Azure-Samples/azure-search-openai-demo. This is the gap to close.
Show full AI answer
CATEGORY QUERY
Looking for a Python template to create a conversational AI assistant over private documents.
you: not recommended
AI recommended (in order):
1. Haystack (deepset-ai/haystack)
2. LlamaIndex (run-llama/llama_index)
3. LangChain (langchain-ai/langchain)
4. Rasa (RasaHQ/rasa)
5. DeepPavlov (deepmipt/DeepPavlov)
6. FARM (deepset-ai/FARM)
AI recommended 6 alternatives but never named Azure-Samples/azure-search-openai-demo. This is the gap to close.
Show full AI answer

Objective checks

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

Metadata completeness
pass
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 Azure-Samples/azure-search-openai-demo?
pass
AI did not name Azure-Samples/azure-search-openai-demo — 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 Azure-Samples/azure-search-openai-demo in production, what risks or prerequisites should they evaluate first?
pass
AI named Azure-Samples/azure-search-openai-demo 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 Azure-Samples/azure-search-openai-demo solve, and who is the primary audience?
pass
AI did not name Azure-Samples/azure-search-openai-demo — 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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MARKDOWN (README)

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Brand-free category queries5 vs 2 in Lite
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