REPOGEO REPORT · LITE

mostlygeek/llama-swap

Default branch main · commit a15e4792 · scanned 6/18/2026, 2:31:52 AM

GitHub: 4,645 stars · 350 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

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 mostlygeek/llama-swap, 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 H1 and opening paragraph to emphasize API proxy/router role

Why:

CURRENT

# llama-swap

Run multiple generative AI models on your machine and hot-swap between them on demand. llama-swap works with any OpenAI and Anthropic API compatible server and is used by thousands of people to power their local AI workflows.

COPY-PASTE FIX

# llama-swap: An API Proxy & Router for Local AI Models

llama-swap is a high-performance API proxy and router that enables seamless hot-swapping between *any* local OpenAI or Anthropic API compatible server (e.g., llama.cpp, vLLM, tabbyAPI). It allows you to run multiple generative AI models on your machine and switch between them on demand, powering local AI workflows for thousands of users.

mediumtopics#2

Add more descriptive topics related to API proxying and routing for LLMs

Why:

CURRENT

golang, llama, llamacpp, localllama, localllm, openai, openai-api, vllm

COPY-PASTE FIX

golang, llama, llamacpp, localllama, localllm, openai, openai-api, vllm, llm-proxy, api-proxy, ai-router, model-router, local-ai

lowhomepage#3
Add a homepage URL to the repository settings
Why:
COPY-PASTE FIX
```
https://github.com/mostlygeek/llama-swap
```

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 mostlygeek/llama-swap

Avg rank

—

Lower is better. #1 = top recommendation.

Share of voice

Of all named tools, what % are you?

Top rival

ollama/ollama

Recommended in 1 of 2 queries

COMPETITOR LEADERBOARD

ollama/ollama · recommended 1×
LM Studio · recommended 1×
go-skynet/LocalAI · recommended 1×
vllm-project/vllm · recommended 1×
BerriAI/litellm · recommended 1×

CATEGORY QUERY
How to easily switch between different local large language models via an API?
you: not recommended
AI recommended (in order):
1. Ollama (ollama/ollama)
2. LM Studio
3. LocalAI (go-skynet/LocalAI)
4. vLLM (vllm-project/vllm)
5. LiteLLM (BerriAI/litellm)
6. Text Generation WebUI (oobabooga/text-generation-webui)
AI recommended 6 alternatives but never named mostlygeek/llama-swap. This is the gap to close.
Show full AI answer
CATEGORY QUERY
Looking for a Go-based solution to proxy local AI models with OpenAI API compatibility.
you: not recommended
AI recommended (in order):
1. LocalAI
2. Ollama
3. Go-OpenAI-Proxy
4. Caddy
5. caddy-exec
6. Gin
7. Echo
8. Fiber
AI recommended 8 alternatives but never named mostlygeek/llama-swap. 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 mostlygeek/llama-swap?
pass
AI named mostlygeek/llama-swap explicitly
AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?
If a team adopts mostlygeek/llama-swap in production, what risks or prerequisites should they evaluate first?
pass
AI named mostlygeek/llama-swap 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 mostlygeek/llama-swap solve, and who is the primary audience?
pass
AI named mostlygeek/llama-swap 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 mostlygeek/llama-swap. 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/mostlygeek/llama-swap.svg)](https://repogeo.com/en/r/mostlygeek/llama-swap)

HTML

<a href="https://repogeo.com/en/r/mostlygeek/llama-swap"><img src="https://repogeo.com/badge/mostlygeek/llama-swap.svg" alt="RepoGEO" /></a>

Pro

Subscribe to Pro for deep diagnoses

mostlygeek/llama-swap — 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