RRepoGEO

REPOGEO REPORT · LITE

Link-AGI/AutoAgents

Default branch main · commit 223ad991 · scanned 5/26/2026, 6:18:22 AM

GitHub: 1,482 stars · 180 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 Link-AGI/AutoAgents, 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 core topics to improve categorization

    Why:

    COPY-PASTE FIX
    llm-agents, multi-agent-system, agent-orchestration, generative-ai, large-language-models, ai-framework, ijcaai-2024
  • mediumreadme#2
    Strengthen README's opening paragraph for multi-agent orchestration

    Why:

    CURRENT
    AutoAgents is an experimental open-source application for an Automatic Agents Generation Experiment based on LLM. This program, driven by LLM, autonomously generates multi-agents to achieve whatever goal you set.
    COPY-PASTE FIX
    AutoAgents is an experimental open-source framework designed for the automatic generation and orchestration of collaborative multi-agent systems. Driven by Large Language Models (LLMs), it autonomously generates and coordinates diverse agents to achieve complex tasks.
  • lowabout#3
    Expand the 'About' description for better keyword density

    Why:

    CURRENT
    [IJCAI 2024] Generate different roles for GPTs to form a collaborative entity for complex tasks.
    COPY-PASTE FIX
    [IJCAI 2024] AutoAgents is an open-source framework for generating and orchestrating collaborative multi-agent systems. It enables LLMs to autonomously create diverse agents that work together on complex tasks.

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 Link-AGI/AutoAgents
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. LlamaIndex · recommended 2×
  3. AutoGen · recommended 2×
  4. Haystack · recommended 2×
  5. CrewAI · recommended 2×
  • CATEGORY QUERY
    How can I build an AI system where different LLMs collaborate on a complex task?
    you: not recommended
    AI recommended (in order):
    1. LangChain
    2. LangGraph
    3. LlamaIndex
    4. AutoGen
    5. Haystack
    6. CrewAI

    AI recommended 6 alternatives but never named Link-AGI/AutoAgents. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What tools help orchestrate multiple AI agents for autonomous problem-solving using LLMs?
    you: not recommended
    AI recommended (in order):
    1. LangChain
    2. AutoGen
    3. CrewAI
    4. Haystack
    5. LlamaIndex
    6. OpenAI Assistants API
    7. Marvin

    AI recommended 7 alternatives but never named Link-AGI/AutoAgents. 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 Link-AGI/AutoAgents?
    pass
    AI named Link-AGI/AutoAgents explicitly

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

  • If a team adopts Link-AGI/AutoAgents in production, what risks or prerequisites should they evaluate first?
    pass
    AI named Link-AGI/AutoAgents 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 Link-AGI/AutoAgents solve, and who is the primary audience?
    pass
    AI named Link-AGI/AutoAgents explicitly

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

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Link-AGI/AutoAgents — 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