RRepoGEO

REPOGEO REPORT · LITE

ConardLi/easy-llm-cli

Default branch main · commit e2ff5bcc · scanned 5/23/2026, 9:42:30 AM

GitHub: 1,321 stars · 217 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
22 /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
1 / 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 ConardLi/easy-llm-cli, 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 relevant topics to the repository

    Why:

    COPY-PASTE FIX
    llm, cli, ai-agent, openai, gemini, developer-tools, code-generation, automation, multimodal
  • mediumreadme#2
    Refine the README's opening sentence to clearly state its role as a CLI AI agent

    Why:

    CURRENT
    This repository contains the Easy LLM CLI（Gemini Cli version of the Fork）, a command-line AI workflow tool that connects to your tools, understands your code and accelerates your workflows. It supports multiple LLM providers including Gemini, OpenAI, and any custom LLM API that follows OpenAI's API format.
    COPY-PASTE FIX
    Easy LLM CLI is a powerful command-line AI agent designed to streamline your AI workflows. It connects to your tools, understands your code, and accelerates development by providing a unified interface for multiple LLM providers, including Gemini, OpenAI, and custom APIs.
  • lowhomepage#3
    Add a homepage URL to the repository metadata

    Why:

    COPY-PASTE FIX
    https://github.com/ConardLi/easy-llm-cli

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 ConardLi/easy-llm-cli
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
continue-dev/continue
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. continue-dev/continue · recommended 1×
  2. paul-gauthier/aider · recommended 1×
  3. smol-ai/smol-dev · recommended 1×
  4. OpenInterpreter/open-interpreter · recommended 1×
  5. PrefectHQ/marvin · recommended 1×
  • CATEGORY QUERY
    What command-line AI tool integrates with multiple LLM providers for code generation and analysis?
    you: not recommended
    AI recommended (in order):
    1. Continue.dev (continue-dev/continue)
    2. aider (paul-gauthier/aider)
    3. smol-dev (smol-ai/smol-dev)
    4. Open Interpreter (OpenInterpreter/open-interpreter)
    5. Marvin (PrefectHQ/marvin)
    6. LiteLLM CLI (BerriAI/litellm)
    7. Ollama CLI (ollama/ollama)

    AI recommended 7 alternatives but never named ConardLi/easy-llm-cli. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    How can I automate development tasks and switch between different LLMs from the terminal?
    you: not recommended
    AI recommended (in order):
    1. Python
    2. requests
    3. os
    4. subprocess
    5. curl
    6. jq
    7. ollama
    8. shell scripts
    9. entr
    10. Makefile

    AI recommended 10 alternatives but never named ConardLi/easy-llm-cli. 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 ConardLi/easy-llm-cli?
    pass
    AI did not name ConardLi/easy-llm-cli — 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 ConardLi/easy-llm-cli in production, what risks or prerequisites should they evaluate first?
    pass
    AI named ConardLi/easy-llm-cli 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 ConardLi/easy-llm-cli solve, and who is the primary audience?
    pass
    AI did not name ConardLi/easy-llm-cli — 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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ConardLi/easy-llm-cli — 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