REPOGEO REPORT · LITE

Azure-Samples/azureai-samples

Default branch main · commit b6c2a8ff · scanned 6/14/2026, 3:22:55 AM

GitHub: 544 stars · 315 forks

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 Azure-Samples/azureai-samples, 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 to clarify repo's nature

Why:

CURRENT

azure

COPY-PASTE FIX

azure, azure-ai, samples, code-samples, examples, machine-learning-samples, generative-ai-samples, rag-samples, ai-agents, conversational-ai

highreadme#2

Reposition the README's opening paragraph to emphasize 'collection of samples'

Why:

CURRENT

This repository acts as the top-level directory for official Azure AI sample code and examples. It includes notebooks and sample code that contain end-to-end samples as well as smaller code snippets for common developer tasks.

COPY-PASTE FIX

This repository is the official, community-driven collection of **Azure AI sample code and examples**. It provides practical, ready-to-run notebooks and code snippets for common developer tasks, including end-to-end solutions for building intelligent conversational agents and other Azure AI scenarios.

mediumhomepage#3
Add a homepage URL to the repository's About section
Why:
COPY-PASTE FIX
```
https://learn.microsoft.com/azure/ai/
```

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/azureai-samples

Avg rank

—

Lower is better. #1 = top recommendation.

Share of voice

Of all named tools, what % are you?

Top rival

GitHub

Recommended in 1 of 2 queries

COMPETITOR LEADERBOARD

GitHub · recommended 1×
Kaggle · recommended 1×
TensorFlow · recommended 1×
PyTorch · recommended 1×
Hugging Face Transformers · recommended 1×

CATEGORY QUERY
Where can I find practical code examples for common artificial intelligence development tasks?
you: not recommended
AI recommended (in order):
1. GitHub
2. Kaggle
3. TensorFlow
4. PyTorch
5. Hugging Face Transformers
6. scikit-learn
7. Medium
8. Towards Data Science
AI recommended 8 alternatives but never named Azure-Samples/azureai-samples. This is the gap to close.
Show full AI answer
CATEGORY QUERY
Looking for end-to-end project samples to build intelligent conversational agents.
you: not recommended
AI recommended (in order):
1. Rasa Open Source (RasaHQ/rasa)
2. Google Dialogflow ES/CX
3. Microsoft Bot Framework (microsoft/botframework-sdk)
4. Azure Bot Service
5. Azure LUIS (Language Understanding Intelligent Service)
6. Azure QnA Maker
7. OpenAI GPT-3/GPT-4
8. OpenAI API
9. Amazon Lex
10. AWS Lambda
11. Amazon Polly
12. Amazon Connect
13. Haystack (deepset-ai/haystack)
AI recommended 13 alternatives but never named Azure-Samples/azureai-samples. 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 Azure-Samples/azureai-samples?
pass
AI named Azure-Samples/azureai-samples explicitly
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/azureai-samples in production, what risks or prerequisites should they evaluate first?
pass
AI named Azure-Samples/azureai-samples 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/azureai-samples solve, and who is the primary audience?
pass
AI did not name Azure-Samples/azureai-samples — 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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HTML

<a href="https://repogeo.com/en/r/Azure-Samples/azureai-samples"><img src="https://repogeo.com/badge/Azure-Samples/azureai-samples.svg" alt="RepoGEO" /></a>

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Brand-free category queries5 vs 2 in Lite
Prioritized action items8 vs 3 in Lite