RRepoGEO

REPOGEO REPORT · LITE

charmbracelet/mods

Default branch main · commit 0425d0d7 · scanned 7/1/2026, 6:16:53 PM

GitHub: 4,528 stars · 227 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 charmbracelet/mods, 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
  • hightopics#1
    Add specific topics for LLM CLI tools

    Why:

    COPY-PASTE FIX
    cli, ai, llm, generative-ai, command-line, go, golang, terminal, openai, localai, groq
  • highabout#2
    Expand the repository description for clarity

    Why:

    CURRENT
    AI on the command line
    COPY-PASTE FIX
    A command-line interface (CLI) for interacting with Large Language Models (LLMs) like OpenAI, LocalAI, and Groq, designed for shell pipelines.
  • mediumhomepage#3
    Add a homepage URL, linking to the successor project

    Why:

    COPY-PASTE FIX
    https://github.com/charmbracelet/crush

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 charmbracelet/mods
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
curl
Recommended in 3 of 2 queries
COMPETITOR LEADERBOARD
  1. curl · recommended 3×
  2. simonw/llm · recommended 2×
  3. llm · recommended 1×
  4. ollama · recommended 1×
  5. OpenAI CLI · recommended 1×
  • CATEGORY QUERY
    How can I integrate large language models directly into my command-line workflow?
    you: not recommended
    AI recommended (in order):
    1. llm
    2. ollama
    3. OpenAI CLI
    4. Anthropic CLI
    5. Google Cloud SDK
    6. shell-gpt
    7. curl
    8. httpie
    9. aider

    AI recommended 9 alternatives but never named charmbracelet/mods. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What tools allow me to pipe command output into an AI for processing and formatting?
    you: not recommended
    AI recommended (in order):
    1. llm (simonw/llm)
    2. jq
    3. curl
    4. OpenAI API
    5. Anthropic API
    6. Google Gemini API
    7. gum (charmbracelet/gum)
    8. ollama (ollama/ollama)
    9. subprocess
    10. OpenAI SDK (openai/openai-python)
    11. Anthropic SDK (anthropics/anthropic-sdk-python)
    12. Google SDK
    13. xargs
    14. llm (simonw/llm)
    15. curl

    AI recommended 15 alternatives but never named charmbracelet/mods. 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 charmbracelet/mods?
    pass
    AI named charmbracelet/mods explicitly

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

  • If a team adopts charmbracelet/mods in production, what risks or prerequisites should they evaluate first?
    pass
    AI named charmbracelet/mods 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 charmbracelet/mods solve, and who is the primary audience?
    pass
    AI named charmbracelet/mods 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 charmbracelet/mods. It auto-updates whenever the report is rescanned and links back to the latest report — easy public proof that you care about AI discoverability.

RepoGEO badge previewLive preview
MARKDOWN (README)
[![RepoGEO](https://repogeo.com/badge/charmbracelet/mods.svg)](https://repogeo.com/en/r/charmbracelet/mods)
HTML
<a href="https://repogeo.com/en/r/charmbracelet/mods"><img src="https://repogeo.com/badge/charmbracelet/mods.svg" alt="RepoGEO" /></a>
Pro

Subscribe to Pro for deep diagnoses

charmbracelet/mods — 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