RRepoGEO

REPOGEO REPORT · LITE

jrswab/axe

Default branch master · commit f1994042 · scanned 6/9/2026, 3:02:14 AM

GitHub: 819 stars · 25 forks

AI VISIBILITY SCORE
33 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
2 pass · 0 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 jrswab/axe, 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
  • highabout#1
    Clarify "About" description to prevent miscategorization

    Why:

    CURRENT
    A lightweight cli for running single-purpose AI agents. Define focused agents in TOML, trigger them from anywhere; pipes, git hooks, cron, or the terminal.
    COPY-PASTE FIX
    Axe is a lightweight CLI for running single-purpose AI agents, not a static site generator or web framework. Define focused agents in TOML, trigger them from anywhere; pipes, git hooks, cron, or the terminal.
  • mediumtopics#2
    Expand topics with specific LLM agent orchestration terms

    Why:

    CURRENT
    ai-agents, automation, cli, command-line, developer-tools, golang, llm
    COPY-PASTE FIX
    ai-agents, automation, cli, command-line, developer-tools, golang, llm, agent-orchestration, llm-orchestration, ai-workflow, tool-use, function-calling
  • lowreadme#3
    Add a concise tagline to the README's opening

    Why:

    COPY-PASTE FIX
    Axe: Unix-like LLM agents for your command line. Small, focused, composable.

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 jrswab/axe
Avg rank
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
LangChain
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. LangChain · recommended 1×
  2. LlamaIndex · recommended 1×
  3. OpenAI Function Calling · recommended 1×
  4. Custom Python Wrappers with `subprocess` · recommended 1×
  5. CrewAI · recommended 1×
  • CATEGORY QUERY
    How to integrate focused LLM agents into existing command-line workflows and scripts?
    you: not recommended
    AI recommended (in order):
    1. LangChain
    2. LlamaIndex
    3. OpenAI Function Calling
    4. Custom Python Wrappers with `subprocess`
    5. CrewAI
    6. Semantic Kernel

    AI recommended 6 alternatives but never named jrswab/axe. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Seeking a lightweight CLI tool for defining and running single-purpose AI agents.
    you: not recommended
    AI recommended (in order):
    1. AgentOps CLI
    2. CrewAI CLI
    3. LangChain CLI
    4. Open Interpreter
    5. Haystack CLI
    6. LlamaIndex CLI

    AI recommended 6 alternatives but never named jrswab/axe. This is the gap to close.

    Show full AI answer

Objective checks

Rule-based audits of metadata signals AI engines weight most.

  • Metadata completeness
    pass

  • 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 jrswab/axe?
    pass
    AI did not name jrswab/axe — 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 jrswab/axe in production, what risks or prerequisites should they evaluate first?
    pass
    AI named jrswab/axe 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 jrswab/axe solve, and who is the primary audience?
    pass
    AI named jrswab/axe explicitly

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

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jrswab/axe — 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