RRepoGEO

REPOGEO REPORT · LITE

awaescher/OllamaSharp

Default branch main · commit 6ef00f49 · scanned 6/22/2026, 8:51:47 AM

GitHub: 1,388 stars · 184 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
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 awaescher/OllamaSharp, 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
  • highabout#1
    Update the repository description to be more explicit

    Why:

    CURRENT
    The easiest way to use Ollama in .NET
    COPY-PASTE FIX
    A .NET client library for the Ollama API, simplifying local and remote LLM interactions.
  • mediumtopics#2
    Add more specific topics for C#/.NET and client libraries

    Why:

    CURRENT
    ai, gpt, ichatclient, library, llama, llamacpp, llm, localllama, microsoft-extensions-ai, ollama, ollama-api, streaming
    COPY-PASTE FIX
    ai, gpt, ichatclient, library, llama, llamacpp, llm, localllama, microsoft-extensions-ai, ollama, ollama-api, streaming, csharp, .net, ollama-client, api-client
  • lowreadme#3
    Slightly rephrase the README's first sentence to emphasize 'client library'

    Why:

    CURRENT
    OllamaSharp provides .NET bindings for the Ollama API, simplifying interactions with Ollama both locally and remotely.
    COPY-PASTE FIX
    OllamaSharp is a .NET client library for the Ollama API, simplifying interactions with Ollama both locally and remotely.

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 awaescher/OllamaSharp
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Ollama
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. Ollama · recommended 1×
  2. ML.NET · recommended 1×
  3. ONNX Runtime · recommended 1×
  4. Hugging Face Transformers · recommended 1×
  5. Python.NET · recommended 1×
  • CATEGORY QUERY
    How can I integrate and manage local large language models within a .NET application?
    you: not recommended
    AI recommended (in order):
    1. Ollama
    2. ML.NET
    3. ONNX Runtime
    4. Hugging Face Transformers
    5. Python.NET
    6. TorchSharp
    7. llama.cpp
    8. Microsoft Semantic Kernel

    AI recommended 8 alternatives but never named awaescher/OllamaSharp. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Seeking a C# library for real-time streaming interactions with self-hosted AI models.
    you: not recommended
    AI recommended (in order):
    1. gRPC
    2. ASP.NET Core SignalR
    3. Apache Kafka
    4. Confluent.Kafka
    5. RabbitMQ
    6. RabbitMQ.Client
    7. ZeroMQ
    8. NetMQ
    9. System.Net.Sockets

    AI recommended 9 alternatives but never named awaescher/OllamaSharp. 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 awaescher/OllamaSharp?
    pass
    AI named awaescher/OllamaSharp explicitly

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

  • If a team adopts awaescher/OllamaSharp in production, what risks or prerequisites should they evaluate first?
    pass
    AI named awaescher/OllamaSharp 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 awaescher/OllamaSharp solve, and who is the primary audience?
    pass
    AI named awaescher/OllamaSharp 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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awaescher/OllamaSharp — 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