RRepoGEO

REPOGEO REPORT · LITE

OkGoDoIt/OpenAI-API-dotnet

Default branch master · commit 8e80c75a · scanned 5/19/2026, 9:27:06 AM

GitHub: 1,894 stars · 420 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 OkGoDoIt/OpenAI-API-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 introductory statement to clarify current value

    Why:

    CURRENT
    Microsoft reached out to me about transitioning this library into a new official C# OpenAI library and now it's ready to go! Starting with v2.0.0-beta.3, the official library now has full coverage and will stay up-to-date. More details in the blog post here: https://devblogs.microsoft.com/dotnet/openai-dotnet-library

This github repo will remain here to document my original version of the library through version 1.11, which is still available on Nuget as well.
🎉 

# C#/.NET SDK for accessing the OpenAI APIs, including GPT-3.5/4, GPT-3.5/4-Turbo, and DALL-E 2/3

A simple C# .NET wrapper library to use with OpenAI's API. More context on my blog. **This is my original unofficial wrapper library around the OpenAI API.**
    COPY-PASTE FIX
    This repository provides the original, community-maintained C#/.NET SDK for OpenAI APIs, supporting versions up to 1.11. While an official Microsoft-backed library is now available, this project continues to offer a lightweight and independent implementation for developers. It includes support for GPT-3.5/4, GPT-3.5/4-Turbo, and DALL-E 2/3.
  • mediumreadme#2
    Clarify the project's license in the README

    Why:

    COPY-PASTE FIX
    ## License
This project uses a custom license. Please refer to the `LICENSE` file in the repository for full details on its terms and conditions.
  • mediumreadme#3
    Emphasize the library's core differentiator in the README's introduction

    Why:

    COPY-PASTE FIX
    Add a sentence to the introductory section of the README, such as: "It stands out for being exceptionally lightweight with minimal external dependencies, primarily relying only on `System.Text.Json` and `HttpClient`."

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 OkGoDoIt/OpenAI-API-dotnet
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Azure OpenAI Service
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. Azure OpenAI Service · recommended 1×
  2. OpenAI API · recommended 1×
  3. Betalgo.OpenAI.GPT3 · recommended 1×
  4. Google Cloud Vertex AI · recommended 1×
  5. Hugging Face Inference API · recommended 1×
  • CATEGORY QUERY
    How to integrate advanced AI text generation capabilities into a C# application?
    you: not recommended
    AI recommended (in order):
    1. Azure OpenAI Service
    2. OpenAI API
    3. Betalgo.OpenAI.GPT3
    4. Google Cloud Vertex AI
    5. Hugging Face Inference API
    6. AWS Bedrock

    AI recommended 6 alternatives but never named OkGoDoIt/OpenAI-API-dotnet. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Looking for a .NET library to access generative AI services for text and image creation.
    you: not recommended
    AI recommended (in order):
    1. Microsoft.SemanticKernel (microsoft/semantic-kernel)
    2. Azure.AI.OpenAI (Azure/azure-sdk-for-net)
    3. OpenAI-DotNet (OkGoDoIt/OpenAI-DotNet)
    4. Google.Cloud.AIPlatform.V1 (googleapis/google-cloud-dotnet)
    5. AWS.SDK.Bedrock (aws/aws-sdk-net)

    AI recommended 5 alternatives but never named OkGoDoIt/OpenAI-API-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 OkGoDoIt/OpenAI-API-dotnet?
    pass
    AI did not name OkGoDoIt/OpenAI-API-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 OkGoDoIt/OpenAI-API-dotnet in production, what risks or prerequisites should they evaluate first?
    pass
    AI named OkGoDoIt/OpenAI-API-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 OkGoDoIt/OpenAI-API-dotnet solve, and who is the primary audience?
    pass
    AI did not name OkGoDoIt/OpenAI-API-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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OkGoDoIt/OpenAI-API-dotnet — Lite scans stay free; this card itemizes Pro deep limits vs Lite.

  • Deep reports10 / month
  • Brand-free category queries5 vs 2 in Lite
  • Prioritized action items8 vs 3 in Lite