REPOGEO REPORT · LITE

ricklamers/shell-ai

Default branch main · commit 9a68d1ec · scanned 6/29/2026, 4:37:43 PM

GitHub: 1,152 stars · 80 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 ricklamers/shell-ai, 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 the README's opening paragraph to explicitly state its category

Why:

CURRENT

Shell-AI (`shai`) is a CLI utility that brings the power of natural language understanding to your command line. Simply input what you want to do in natural language, and `shai` will suggest single-line commands that achieve your intent. Under the hood, Shell-AI leverages the LangChain for LLM use and builds on the excellent InquirerPy for the interactive CLI.

COPY-PASTE FIX

Shell-AI (`shai`) is an AI-powered shell assistant CLI that translates natural language into executable shell commands. It leverages large language models to understand your intent and suggest single-line commands, making your command line more intuitive and efficient. Under the hood, Shell-AI leverages the LangChain for LLM use and builds on the excellent InquirerPy for the interactive CLI.

hightopics#2

Add more specific topics to improve category visibility

Why:

CURRENT

automation, cli, gpt, langchain, llm, openai, shell

COPY-PASTE FIX

ai-assistant, shell-assistant, natural-language-cli, command-generator, bash-commands, zsh-commands, powershell, automation, cli, gpt, langchain, llm, openai, shell

mediumhomepage#3
Add a homepage URL to the repository's 'About' section
Why:
COPY-PASTE FIX
```
https://pypi.org/project/shell-ai/
```

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 ricklamers/shell-ai

Avg rank

—

Lower is better. #1 = top recommendation.

Share of voice

Of all named tools, what % are you?

Top rival

Fig AI

Recommended in 1 of 2 queries

COMPETITOR LEADERBOARD

Fig AI · recommended 1×
Warp · recommended 1×
GitHub Copilot for CLI · recommended 1×
Aider · recommended 1×
ShellGPT · recommended 1×

CATEGORY QUERY
What's the best way to get AI suggestions for my bash commands?
you: not recommended
AI recommended (in order):
1. Fig AI
2. Warp
3. GitHub Copilot for CLI
4. Aider
5. ShellGPT
6. Open Interpreter
AI recommended 6 alternatives but never named ricklamers/shell-ai. This is the gap to close.
Show full AI answer
CATEGORY QUERY
Looking for a command line tool that generates shell scripts from natural language input.
you: not recommended
AI recommended (in order):
1. ChatGPT
2. OpenAI API
3. Google's Gemini
4. shell-gpt (sgpt)
5. aicli
6. llm (by Simon Willison)
7. GitHub Copilot
8. Fig
9. Python
10. openai (Python library)
11. google-generativeai (Python library)
12. ExplainShell.com
AI recommended 12 alternatives but never named ricklamers/shell-ai. 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 ricklamers/shell-ai?
pass
AI named ricklamers/shell-ai explicitly
AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?
If a team adopts ricklamers/shell-ai in production, what risks or prerequisites should they evaluate first?
pass
AI named ricklamers/shell-ai 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 ricklamers/shell-ai solve, and who is the primary audience?
pass
AI did not name ricklamers/shell-ai — 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?

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MARKDOWN (README)

[![RepoGEO](https://repogeo.com/badge/ricklamers/shell-ai.svg)](https://repogeo.com/en/r/ricklamers/shell-ai)

HTML

<a href="https://repogeo.com/en/r/ricklamers/shell-ai"><img src="https://repogeo.com/badge/ricklamers/shell-ai.svg" alt="RepoGEO" /></a>

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ricklamers/shell-ai — 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