RRepoGEO

REPOGEO REPORT · LITE

openai/openai-dotnet

Default branch main · commit d2c88d2b · scanned 6/21/2026, 11:56:44 AM

GitHub: 2,631 stars · 405 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
33 /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
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 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 README's opening paragraph to clarify its role as an API client library

    Why:

    CURRENT
    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
    The official OpenAI .NET library provides convenient, type-safe access to the OpenAI REST API from .NET applications. This SDK is designed for developers looking to integrate powerful AI models like GPT, DALL-E, and Whisper into their applications, not for building or training machine learning models.
  • hightopics#2
    Add more specific topics to improve category visibility and feature recall

    Why:

    CURRENT
    csharp, dotnet, openai
    COPY-PASTE FIX
    csharp, dotnet, openai, api-client, sdk, generative-ai, llm, ai-models, function-calling, streaming, conversational-ai
  • mediumreadme#3
    Add a 'Why choose this library?' or 'Comparison' section to the README

    Why:

    COPY-PASTE FIX
    Add a new section to the README, perhaps titled 'Why choose the official OpenAI .NET Library?' or 'Key Differentiators,' that explicitly states: 'This library is the official, first-party .NET client for the OpenAI API, ensuring full compatibility, timely updates, and idiomatic .NET development. Unlike machine learning frameworks (e.g., PyTorch, TensorFlow), this library focuses on consuming OpenAI's hosted models, not on local model training or deployment.'

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 openai/openai-dotnet
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
TensorFlow Extended (TFX)
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. TensorFlow Extended (TFX) · recommended 1×
  2. PyTorch · recommended 1×
  3. PyTorch Lightning · recommended 1×
  4. TorchServe · recommended 1×
  5. ONNX Runtime · recommended 1×
  • CATEGORY QUERY
    What are the best libraries for integrating advanced AI models into enterprise application development?
    you: not recommended
    AI recommended (in order):
    1. TensorFlow Extended (TFX)
    2. PyTorch
    3. PyTorch Lightning
    4. TorchServe
    5. ONNX Runtime
    6. Hugging Face Transformers
    7. Scikit-learn
    8. Keras
    9. MLflow

    AI recommended 9 alternatives but never named openai/openai-dotnet. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Looking for an SDK to implement conversational AI with streaming and function calling features.
    you: not recommended
    AI recommended (in order):
    1. OpenAI Python SDK
    2. LangChain
    3. LlamaIndex
    4. Anthropic Python SDK
    5. Google Cloud Generative AI SDK
    6. Hugging Face `transformers` library

    AI recommended 6 alternatives but never named openai/openai-dotnet. 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 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 named openai/openai-dotnet explicitly

    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
  • Prioritized action items8 vs 3 in Lite