RRepoGEO

REPOGEO REPORT · LITE

RageAgainstThePixel/OpenAI-DotNet

Default branch main · commit e2382631 · scanned 6/14/2026, 5:02:00 AM

GitHub: 761 stars · 160 forks

AI VISIBILITY SCORE
40 /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
3 / 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 RageAgainstThePixel/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
  • highhomepage#1
    Correct the repository's homepage URL

    Why:

    CURRENT
    https://openai.com
    COPY-PASTE FIX
    https://github.com/RageAgainstThePixel/OpenAI-DotNet
  • highreadme#2
    Strengthen the README's opening statement to clarify positioning

    Why:

    CURRENT
    A simple C# .NET client library for OpenAI to use though their RESTful API. Independently developed, this is not an official library and I am not affiliated with OpenAI.
    COPY-PASTE FIX
    A comprehensive, community-maintained C# .NET client library for the OpenAI RESTful API. This robust, independently developed client provides full access to OpenAI's services, designed for .NET developers seeking a reliable, non-official integration.
  • mediumreadme#3
    Add a comparison section to the README

    Why:

    COPY-PASTE FIX
    Add a new section to the README, perhaps titled 'Why OpenAI-DotNet?' or 'Comparison to other .NET OpenAI clients', that briefly outlines its design philosophy, key features, or specific use cases where it excels compared to other popular .NET OpenAI clients or official SDKs.

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 RageAgainstThePixel/OpenAI-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. microsoft/semantic-kernel · recommended 1×
  4. dotnet/machinelearning · recommended 1×
  5. huggingface/transformers · recommended 1×
  • CATEGORY QUERY
    How can I integrate AI language models into my .NET application?
    you: not recommended
    AI recommended (in order):
    1. Azure OpenAI Service
    2. OpenAI API
    3. Semantic Kernel (microsoft/semantic-kernel)
    4. ML.NET (dotnet/machinelearning)
    5. Hugging Face Transformers (huggingface/transformers)
    6. ONNX Runtime (microsoft/onnxruntime)
    7. Google Cloud Vertex AI
    8. AWS Bedrock

    AI recommended 8 alternatives but never named RageAgainstThePixel/OpenAI-DotNet. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What are the best C# libraries for interacting with generative AI services?
    you: not recommended
    AI recommended (in order):
    1. Semantic Kernel
    2. Azure OpenAI Service SDK for .NET
    3. OpenAI .NET Library
    4. Betalgo.OpenAI.GPT3
    5. Google.Cloud.AIPlatform.V1
    6. HuggingFace.API

    AI recommended 6 alternatives but never named RageAgainstThePixel/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 RageAgainstThePixel/OpenAI-DotNet?
    pass
    AI named RageAgainstThePixel/OpenAI-DotNet explicitly

    AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

  • If a team adopts RageAgainstThePixel/OpenAI-DotNet in production, what risks or prerequisites should they evaluate first?
    pass
    AI named RageAgainstThePixel/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 RageAgainstThePixel/OpenAI-DotNet solve, and who is the primary audience?
    pass
    AI named RageAgainstThePixel/OpenAI-DotNet explicitly

    AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

Embed your GEO score

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RageAgainstThePixel/OpenAI-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