RRepoGEO

REPOGEO REPORT · LITE

OkGoDoIt/OpenAI-API-dotnet

Default branch master · commit 8e80c75a · scanned 6/30/2026, 5:57:18 PM

GitHub: 1,891 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 README's opening to clarify this library's ongoing 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. 🎉
    COPY-PASTE FIX
    This repository hosts the **original unofficial C#/.NET SDK for accessing the OpenAI APIs**, including GPT-3.5/4, GPT-3.5/4-Turbo, and DALL-E 2/3, up to version 1.11. It provides a simple C# .NET wrapper library for OpenAI's API. While Microsoft has since released an official C# OpenAI library (v2.0.0-beta.3 and later), this repo remains available to document and support the original version 1.11, which is still available on Nuget. More details on the official library transition can be found here: https://devblogs.microsoft.com/dotnet/openai-dotnet-library
  • mediumcomparison#2
    Add a 'Why use this version?' section to the README

    Why:

    COPY-PASTE FIX
    Add a new section to the README, perhaps titled 'Why use this version (1.11)?' or 'Choosing between this and the official library', explaining specific advantages or use cases (e.g., legacy projects, specific API versions, thin wrapper approach, or historical reference).
  • lowlicense#3
    Add a clear statement about the license to the README

    Why:

    COPY-PASTE FIX
    Add a sentence to the README, ideally under a 'License' heading, explicitly stating the specific license(s) that apply to this version of the library.

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
Semantic Kernel
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. Semantic Kernel · recommended 1×
  2. Azure OpenAI Service SDK for .NET · recommended 1×
  3. OpenAI .NET Library · recommended 1×
  4. LLamaSharp · recommended 1×
  5. Microsoft.ML.OnnxRuntime · recommended 1×
  • CATEGORY QUERY
    What .NET library simplifies interaction with advanced AI language models?
    you: not recommended
    AI recommended (in order):
    1. Semantic Kernel
    2. Azure OpenAI Service SDK for .NET
    3. OpenAI .NET Library
    4. LLamaSharp
    5. Microsoft.ML.OnnxRuntime

    AI recommended 5 alternatives but never named OkGoDoIt/OpenAI-API-dotnet. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    How to integrate AI text generation and image creation into C# projects?
    you: not recommended
    AI recommended (in order):
    1. Azure OpenAI Service
    2. OpenAI API
    3. Google Cloud AI
    4. Vertex AI
    5. Gemini API
    6. AWS Bedrock
    7. Amazon Rekognition
    8. Hugging Face Transformers
    9. Hugging Face Inference API
    10. Stability AI API
    11. Midjourney API

    AI recommended 11 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