REPOGEO REPORT · LITE

openai/openai-dotnet

Default branch main · commit b0363b76 · scanned 5/11/2026, 8:17:42 AM

GitHub: 2,595 stars · 393 forks

AI VISIBILITY SCORE

54 /100

Needs work

Category recall

1 / 2

Avg rank #3.0 when recommended

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 openai/openai-dotnet, 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 the README's opening to highlight official status and generative AI integration

Why:

CURRENT

# OpenAI .NET API library

The OpenAI .NET library provides convenient access to the OpenAI REST API from .NET applications.

It is generated from our OpenAPI specification in collaboration with Microsoft.

COPY-PASTE FIX

# Official OpenAI .NET Library for Generative AI

The official OpenAI .NET library provides convenient, first-party access to the OpenAI REST API, enabling seamless integration of generative AI services like chat, image generation, and embeddings into your .NET applications. As the authoritative implementation, it ensures direct support and guaranteed up-to-dateness with API changes. It is generated from our OpenAPI specification in collaboration with Microsoft.

mediumtopics#2
Expand repository topics to include generative AI and API client terms
Why:
CURRENT
```
csharp, dotnet, openai
```
COPY-PASTE FIX
```
csharp, dotnet, openai, generative-ai, llm, api-client, sdk
```

lowreadme#3

Ensure the README explicitly mentions 'function calling' and 'streaming' in the introduction

Why:

CURRENT

The official OpenAI .NET library provides convenient, first-party access to the OpenAI REST API, enabling seamless integration of generative AI services like chat, image generation, and embeddings into your .NET applications.

COPY-PASTE FIX

The official OpenAI .NET library provides convenient, first-party access to the OpenAI REST API, enabling seamless integration of generative AI services like chat, streaming, function calling, image generation, and embeddings into your .NET applications.

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

1 / 2

50% of queries surface openai/openai-dotnet

Avg rank

#3.0

Lower is better. #1 = top recommendation.

Share of voice

Of all named tools, what % are you?

Top rival

Azure OpenAI Service

Recommended in 1 of 2 queries

COMPETITOR LEADERBOARD

Azure OpenAI Service · recommended 1×
OpenAI .NET Library · recommended 1×
Semantic Kernel · recommended 1×
Google Cloud Vertex AI · recommended 1×
Hugging Face Transformers · recommended 1×

CATEGORY QUERY
How can I easily integrate generative AI services into my C# .NET projects?
you: not recommended
AI recommended (in order):
1. Azure OpenAI Service
2. OpenAI .NET Library
3. Semantic Kernel
4. Google Cloud Vertex AI
5. Hugging Face Transformers
6. AWS Bedrock
AI recommended 6 alternatives but never named openai/openai-dotnet. This is the gap to close.
Show full AI answer
CATEGORY QUERY
What .NET libraries exist for building AI applications with chat, streaming, and function calls?
you: #3
AI recommended (in order):
1. Semantic Kernel (microsoft/semantic-kernel)
2. Azure OpenAI Service SDK for .NET (Azure/azure-sdk-for-net)
3. OpenAI-DotNet (RageAgainstTheMachine/OpenAI-DotNet) ← you
4. LLamaSharp (SciSharp/LLamaSharp)
5. Microsoft.ML (ML.NET) (dotnet/machinelearning)
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 openai/openai-dotnet?
pass
AI did not name openai/openai-dotnet — 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 openai/openai-dotnet in production, what risks or prerequisites should they evaluate first?
pass
AI named openai/openai-dotnet 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 openai/openai-dotnet solve, and who is the primary audience?
pass
AI did not name openai/openai-dotnet — 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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