RRepoGEO

REPOGEO REPORT · LITE

majacinka/crewai-experiments

Default branch main · commit 2636efde · scanned 5/9/2026, 12:52:42 AM

GitHub: 1,018 stars · 251 forks

AI VISIBILITY SCORE
17 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
1 pass · 0 warn · 1 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 majacinka/crewai-experiments, 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 relevant topics to the repository

    Why:

    COPY-PASTE FIX
    crewai, multi-agent-systems, llm-experiments, local-llms, agent-orchestration, content-generation, ai-agents, agent-benchmarking
  • highreadme#2
    Reposition the README's opening statement to highlight value for others

    Why:

    CURRENT
    # CREWAI experiments

For my experiments with CrewAI, I decided to try 3 different projects, starting from the easiest to the most complex. The aim of the experiments was to have a team of AI agents do following work for me:
    COPY-PASTE FIX
    # CrewAI Experiments: Local LLM & Agent Performance Benchmarks

This repository showcases a collection of practical experiments with the CrewAI framework, focusing on evaluating various local and API-based Large Language Models (LLMs) for multi-agent system orchestration. It provides concrete examples of AI agent teams performing tasks like startup idea examination, AI newsletter generation, and email classification.
  • mediumlicense#3
    Add a LICENSE file to the repository

    Why:

    COPY-PASTE FIX
    Create a LICENSE file in the root of the repository, choosing an appropriate open-source license (e.g., MIT, Apache-2.0, GPL-3.0) that reflects your intentions for how others can use your code.

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 majacinka/crewai-experiments
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
CrewAI
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. CrewAI · recommended 1×
  2. AutoGen · recommended 1×
  3. LangChain Agents · recommended 1×
  4. LlamaIndex Agents · recommended 1×
  5. OpenAI Assistants API · recommended 1×
  • CATEGORY QUERY
    How to build autonomous AI agent teams for content generation and research tasks?
    you: not recommended
    AI recommended (in order):
    1. CrewAI
    2. AutoGen
    3. LangChain Agents
    4. LlamaIndex Agents
    5. OpenAI Assistants API
    6. Haystack Agents
    7. Custom Python Scripting with LLM APIs

    AI recommended 7 alternatives but never named majacinka/crewai-experiments. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What are good local large language models for orchestrating multi-agent AI systems?
    you: not recommended
    AI recommended (in order):
    1. Llama 3
    2. Mixtral 8x7B Instruct
    3. Qwen1.5-14B-Chat
    4. Gemma 2
    5. Phi-3-medium-4k-instruct
    6. Code Llama
    7. Zephyr-7B-beta

    AI recommended 7 alternatives but never named majacinka/crewai-experiments. This is the gap to close.

    Show full AI answer

Objective checks

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

  • Metadata completeness
    fail

    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 majacinka/crewai-experiments?
    pass
    AI did not name majacinka/crewai-experiments — 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 majacinka/crewai-experiments in production, what risks or prerequisites should they evaluate first?
    pass
    AI named majacinka/crewai-experiments 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 majacinka/crewai-experiments solve, and who is the primary audience?
    pass
    AI did not name majacinka/crewai-experiments — 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?

Embed your GEO score

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  • Brand-free category queries5 vs 2 in Lite
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