REPOGEO REPORT · LITE

ryanstephen/lil-agents

Default branch main · commit 6d639033 · scanned 5/20/2026, 5:32:13 PM

GitHub: 1,331 stars · 264 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

28 /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

2 / 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 ryanstephen/lil-agents, 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 to clarify it's a macOS desktop app

Why:

CURRENT

# lil agents

Tiny AI companions that live on your macOS dock.

COPY-PASTE FIX

# lil agents

A macOS desktop application providing tiny AI companions that live on your dock. Chat with Claude, OpenAI, Copilot, or Gemini directly from your desktop.

hightopics#2
Add relevant topics for better categorization
Why:
COPY-PASTE FIX
```
macos, desktop-app, ai-assistant, llm, openai, claude, gemini, copilot, dock-app
```
mediumhomepage#3
Add a homepage URL to the repository metadata
Why:
COPY-PASTE FIX
```
YOUR_WEBSITE_URL_HERE (e.g., https://lil-agents.com)
```

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 ryanstephen/lil-agents

Avg rank

—

Lower is better. #1 = top recommendation.

Share of voice

Of all named tools, what % are you?

Top rival

ChatGPT Desktop App (Official)

Recommended in 1 of 2 queries

COMPETITOR LEADERBOARD

ChatGPT Desktop App (Official) · recommended 1×
MacWhisper · recommended 1×
Ollama · recommended 1×
Raycast AI · recommended 1×
MindMac · recommended 1×

CATEGORY QUERY
How can I get an interactive AI assistant directly on my macOS desktop?
you: not recommended
AI recommended (in order):
1. ChatGPT Desktop App (Official)
2. MacWhisper
3. Ollama
4. Raycast AI
5. MindMac
6. Vercel AI Chat
7. Elephas
8. MoeGPT
AI recommended 8 alternatives but never named ryanstephen/lil-agents. This is the gap to close.
Show full AI answer
CATEGORY QUERY
Looking for a macOS tool to easily chat with different large language models via CLI.
you: not recommended
AI recommended (in order):
1. LM Studio
2. Ollama (ollama/ollama)
3. cURL
4. Python
5. openai (openai/openai-python)
6. anthropic (anthropics/anthropic-sdk-python)
7. google-generativeai (google-gemini/generative-ai-python)
8. ShellGPT (theres-no-limitation/shell-gpt)
9. Llama.cpp (ggerganov/llama.cpp)
AI recommended 9 alternatives but never named ryanstephen/lil-agents. 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 ryanstephen/lil-agents?
pass
AI did not name ryanstephen/lil-agents — 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 ryanstephen/lil-agents in production, what risks or prerequisites should they evaluate first?
pass
AI named ryanstephen/lil-agents 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 ryanstephen/lil-agents solve, and who is the primary audience?
pass
AI named ryanstephen/lil-agents explicitly
AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

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MARKDOWN (README)

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HTML

<a href="https://repogeo.com/en/r/ryanstephen/lil-agents"><img src="https://repogeo.com/badge/ryanstephen/lil-agents.svg" alt="RepoGEO" /></a>

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ryanstephen/lil-agents — 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