RRepoGEO

REPOGEO REPORT · LITE

ag2ai/ag2

Default branch main · commit 899ee129 · scanned 7/1/2026, 12:41:53 AM

GitHub: 4,719 stars · 658 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
40 /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
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 ag2ai/ag2, 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
    Update repository description to be more specific

    Why:

    CURRENT
    AG2 (formerly AutoGen): The Open-Source AgentOS.Join us at: https://discord.gg/sNGSwQME3x
    COPY-PASTE FIX
    AG2 (formerly AutoGen): The Open-Source AgentOS for building and orchestrating multi-agent, LLM-powered AI systems. Join us at: https://discord.gg/sNGSwQME3x
  • highreadme#2
    Add a clear statement in README about AG2 superseding AutoGen

    Why:

    CURRENT
    The text immediately following `# AG2: Open-Source AgentOS for AI Agents` is the `IMPORTANT` block.
    COPY-PASTE FIX
    Insert this sentence immediately after the H1 (`# AG2: Open-Source AgentOS for AI Agents`), before the `IMPORTANT` block: `AG2 is the official successor and evolution of the popular AutoGen framework, providing a robust, protocol-driven AgentOS for building advanced multi-agent AI systems.`
  • mediumreadme#3
    Add a 'Why AG2?' section highlighting the ADL differentiator

    Why:

    COPY-PASTE FIX
    Add a new section to the README, for example: `## Why AG2?` `AG2 stands out with its emphasis on a declarative, YAML-based Agent Definition Language (ADL). This allows for structured, reproducible, and transparent definition of autonomous agents, including their tools, memory, and planning capabilities, separate from the execution logic.`

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 ag2ai/ag2
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. AutoGen · recommended 2×
  3. CrewAI · recommended 2×
  4. Haystack · recommended 2×
  5. LlamaIndex · recommended 2×
  • CATEGORY QUERY
    How can I build a multi-agent AI system for complex task automation?
    you: not recommended
    AI recommended (in order):
    1. LangChain
    2. AutoGen
    3. CrewAI
    4. Haystack
    5. LlamaIndex
    6. OpenAI Assistants API
    7. BabyAGI
    8. Auto-GPT

    AI recommended 8 alternatives but never named ag2ai/ag2. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What are open-source Python frameworks for developing and orchestrating LLM-powered AI agents?
    you: not recommended
    AI recommended (in order):
    1. LangChain
    2. LlamaIndex
    3. Haystack
    4. AutoGen
    5. CrewAI
    6. DSPy

    AI recommended 6 alternatives but never named ag2ai/ag2. 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 ag2ai/ag2?
    pass
    AI named ag2ai/ag2 explicitly

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

  • If a team adopts ag2ai/ag2 in production, what risks or prerequisites should they evaluate first?
    pass
    AI named ag2ai/ag2 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 ag2ai/ag2 solve, and who is the primary audience?
    pass
    AI named ag2ai/ag2 explicitly

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

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  • Brand-free category queries5 vs 2 in Lite
  • Prioritized action items8 vs 3 in Lite