REPOGEO REPORT · LITE

ServiceStack/llms

Default branch main · commit 0a9d4223 · scanned 6/6/2026, 8:16:43 AM

GitHub: 610 stars · 29 forks

AI VISIBILITY SCORE

35 /100

Critical

Category recall

0 / 2

Not recommended in any query

Rule findings

1 pass · 1 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 ServiceStack/llms, 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

2 prioritized changes generated by gemini-2.5-flash. Mark items done after you ship the fix.

OVERALL DIRECTION

highreadme#1

Reposition the README's opening to clarify its core identity

Why:

CURRENT

# llms.py

Lightweight CLI, API and ChatGPT-like alternative to Open WebUI for accessing multiple LLMs, entirely offline, with all data kept private in browser storage.

COPY-PASTE FIX

# ServiceStack/llms: .NET LLM Integration Framework. ServiceStack/llms simplifies the integration and utilization of diverse large language models (LLMs) from various providers into .NET applications, primarily for .NET developers using ServiceStack. It also offers a lightweight CLI, API, and a ChatGPT-like UI for local, private LLM inference.

mediumhomepage#2
Add the project homepage URL
Why:
COPY-PASTE FIX
```
https://llmspy.org
```

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 ServiceStack/llms

Avg rank

—

Lower is better. #1 = top recommendation.

Share of voice

Of all named tools, what % are you?

Top rival

LM Studio

Recommended in 2 of 2 queries

COMPETITOR LEADERBOARD

LM Studio · recommended 2×
Ollama · recommended 2×
LocalAI · recommended 2×
oobabooga/text-generation-webui · recommended 2×
Jan · recommended 1×

CATEGORY QUERY
How to run large language models locally for private, offline inference with a UI?
you: not recommended
AI recommended (in order):
1. LM Studio
2. Ollama
3. Jan
4. LocalAI
5. GPT4All
6. KoboldCpp
7. Text Generation WebUI (oobabooga/text-generation-webui)
AI recommended 7 alternatives but never named ServiceStack/llms. This is the gap to close.
Show full AI answer
CATEGORY QUERY
Seeking a self-hosted solution for managing and interacting with various LLMs privately via API?
you: not recommended
AI recommended (in order):
1. LM Studio
2. Ollama
3. LocalAI
4. vLLM
5. Text Generation WebUI (oobabooga/text-generation-webui)
6. Open WebUI
7. TGI
AI recommended 7 alternatives but never named ServiceStack/llms. This is the gap to close.
Show full AI answer

Objective checks

Rule-based audits of metadata signals AI engines weight most.

Metadata completeness
warn
Suggestion:
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 ServiceStack/llms?
pass
AI named ServiceStack/llms explicitly
AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?
If a team adopts ServiceStack/llms in production, what risks or prerequisites should they evaluate first?
pass
AI named ServiceStack/llms 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 ServiceStack/llms solve, and who is the primary audience?
pass
AI named ServiceStack/llms explicitly
AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

Embed your GEO score

Drop this badge into the README of ServiceStack/llms. It auto-updates whenever the report is rescanned and links back to the latest report — easy public proof that you care about AI discoverability.

Live preview

MARKDOWN (README)

[![RepoGEO](https://repogeo.com/badge/ServiceStack/llms.svg)](https://repogeo.com/en/r/ServiceStack/llms)

HTML

<a href="https://repogeo.com/en/r/ServiceStack/llms"><img src="https://repogeo.com/badge/ServiceStack/llms.svg" alt="RepoGEO" /></a>

Pro

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ServiceStack/llms — 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