RRepoGEO

REPOGEO REPORT · LITE

lucky-aeon/AgentX

Default branch master · commit 3ee7b0b6 · scanned 6/12/2026, 6:21:58 AM

GitHub: 755 stars · 139 forks

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 lucky-aeon/AgentX, 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

2 prioritized changes generated by gemini-2.5-flash. Mark items done after you ship the fix.

OVERALL DIRECTION
  • highreadme#1
    Strengthen README opening to emphasize open-source, no-code agent building

    Why:

    CURRENT
    AgentX 是一个基于大模型 (LLM) 和多能力平台 (MCP) 的智能 Agent 构建平台。它致力于简化 Agent 的创建流程，让用户无需复杂的流程节点或拖拽操作，仅通过自然语言和工具集成即可打造个性化的智能 Agent。
    COPY-PASTE FIX
    AgentX 是一个**开源的、无代码/低代码**智能 Agent 构建平台，基于大模型 (LLM) 和多能力平台 (MCP)。它致力于让**小白用户也能无门槛**通过自然语言和工具集成，快速打造和部署个性化的智能 Agent。
  • mediumhomepage#2
    Add a homepage URL to the repository settings

    Why:

    COPY-PASTE FIX
    https://code.xhyovo.cn

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 lucky-aeon/AgentX
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
LangChain
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. LangChain · recommended 2×
  2. ChatGPT Plus · recommended 1×
  3. OpenAI API · recommended 1×
  4. Assistants API · recommended 1×
  5. Google Gemini · recommended 1×
  • CATEGORY QUERY
    How can I easily build custom AI agents using natural language without complex coding?
    you: not recommended
    AI recommended (in order):
    1. ChatGPT Plus
    2. OpenAI API
    3. Assistants API
    4. Google Gemini
    5. Gemini Advanced
    6. Google AI Studio
    7. Microsoft Copilot Studio
    8. Poe
    9. Voiceflow
    10. Zapier NLA
    11. LangChain
    12. Streamlit
    13. Gradio

    AI recommended 13 alternatives but never named lucky-aeon/AgentX. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What open-source platforms simplify building and deploying LLM-powered agents with tool integration?
    you: not recommended
    AI recommended (in order):
    1. LangChain
    2. LlamaIndex
    3. Haystack
    4. AutoGPT
    5. BabyAGI
    6. Open Interpreter
    7. CrewAI

    AI recommended 7 alternatives but never named lucky-aeon/AgentX. 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 lucky-aeon/AgentX?
    pass
    AI named lucky-aeon/AgentX explicitly

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

  • If a team adopts lucky-aeon/AgentX in production, what risks or prerequisites should they evaluate first?
    pass
    AI named lucky-aeon/AgentX 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 lucky-aeon/AgentX solve, and who is the primary audience?
    pass
    AI named lucky-aeon/AgentX 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 lucky-aeon/AgentX. 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/lucky-aeon/AgentX.svg)](https://repogeo.com/en/r/lucky-aeon/AgentX)
HTML
<a href="https://repogeo.com/en/r/lucky-aeon/AgentX"><img src="https://repogeo.com/badge/lucky-aeon/AgentX.svg" alt="RepoGEO" /></a>
Pro

Subscribe to Pro for deep diagnoses

lucky-aeon/AgentX — 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