RRepoGEO

REPOGEO REPORT · LITE

jim-schwoebel/awesome_ai_agents

Default branch main · commit 51b1a7eb · scanned 6/22/2026, 2:22:16 AM

GitHub: 1,845 stars · 577 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
27 /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
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 jim-schwoebel/awesome_ai_agents, 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
  • highreadme#1
    Clarify that this is an "awesome list" of resources, not a deployable tool, in the README's opening.

    Why:

    CURRENT
    Welcome to the **Ultimate Hub for AI Agents**, your one-stop destination for all things related to AI-driven agents. Whether you're a researcher, developer, or enthusiast, this repository brings together the most advanced tools, resources, and inspiring projects in the world of AI agents.
    COPY-PASTE FIX
    Welcome to **Awesome AI Agents**, the ultimate curated list and comprehensive hub for all things related to AI-driven agents. This repository is a resource, not a deployable tool, bringing together the most advanced open-source tools, frameworks, datasets, and inspiring projects in the world of AI agents.
  • mediumtopics#2
    Ensure 'awesome-list' and related terms are prominent in the topics list.

    Why:

    CURRENT
    agent-based-modeling, agentic, agentic-ai, agentic-workflow, agents, ai, ai-agent, ai-agent-framework, ai-agent-tools, ai-agents-cli, ai-agents-framework, aiagent, aiagents, aiworkflow, awesome-list, awesome-lists, learning, multi-agent, multi-agent-system, multi-agent-systems
    COPY-PASTE FIX
    awesome-list, awesome-lists, ai-agents-list, ai-agents-resources, agent-based-modeling, agentic, agentic-ai, agentic-workflow, agents, ai, ai-agent, ai-agent-framework, ai-agent-tools, ai-agents-cli, ai-agents-framework, aiagent, aiagents, aiworkflow, learning, multi-agent, multi-agent-system, multi-agent-systems
  • lowabout#3
    Refine the repository description to explicitly emphasize its 'awesome list' nature.

    Why:

    CURRENT
    🤖 A comprehensive list of 1,500+ resources and tools related to AI agents.
    COPY-PASTE FIX
    🤖 An awesome list: a comprehensive, curated collection of 1,500+ resources, tools, and frameworks for AI agents.

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 jim-schwoebel/awesome_ai_agents
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. Awesome-AI-Agents · recommended 1×
  3. LlamaIndex · recommended 1×
  4. Hugging Face Hub · recommended 1×
  5. Futurepedia · recommended 1×
  • CATEGORY QUERY
    Where can I find a comprehensive list of tools and frameworks for AI agent development?
    you: not recommended
    AI recommended (in order):
    1. Awesome-AI-Agents
    2. LlamaIndex
    3. LangChain
    4. Hugging Face Hub
    5. Futurepedia
    6. There's An AI For That
    7. Papers With Code
    8. OpenAI

    AI recommended 8 alternatives but never named jim-schwoebel/awesome_ai_agents. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What are the best resources for learning about multi-agent systems and agentic workflows?
    you: not recommended
    AI recommended (in order):
    1. Multiagent Systems: A Modern Approach to Distributed Artificial Intelligence
    2. An Introduction to MultiAgent Systems
    3. LangChain
    4. AutoGPT (Significant-Gravitas/AutoGPT)
    5. CrewAI
    6. Reinforcement Learning: An Introduction
    7. AlphaStar
    8. OpenAI Five

    AI recommended 8 alternatives but never named jim-schwoebel/awesome_ai_agents. 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 jim-schwoebel/awesome_ai_agents?
    pass
    AI did not name jim-schwoebel/awesome_ai_agents — 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 jim-schwoebel/awesome_ai_agents in production, what risks or prerequisites should they evaluate first?
    pass
    AI named jim-schwoebel/awesome_ai_agents 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 jim-schwoebel/awesome_ai_agents solve, and who is the primary audience?
    pass
    AI did not name jim-schwoebel/awesome_ai_agents — 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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  • Brand-free category queries5 vs 2 in Lite
  • Prioritized action items8 vs 3 in Lite