RRepoGEO

REPOGEO REPORT · LITE

crewAIInc/crewAI-examples

Default branch main · commit da94a91e · scanned 5/17/2026, 11:57:43 PM

GitHub: 5,955 stars · 2,112 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
28 /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
2 / 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 crewAIInc/crewAI-examples, 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 the About description for clarity

    Why:

    CURRENT
    A collection of examples that show how to use CrewAI framework to automate workflows.
    COPY-PASTE FIX
    End-to-end examples of multi-agent AI applications built with the CrewAI framework, demonstrating complex workflows and real-world integrations.
  • hightopics#2
    Add more specific topics to improve categorization

    Why:

    CURRENT
    crewai, examples
    COPY-PASTE FIX
    crewai, examples, ai-agents, multi-agent-systems, workflow-automation, ai-applications, end-to-end-examples
  • highlicense#3
    Add a LICENSE file to the repository

    Why:

    COPY-PASTE FIX
    Create a LICENSE file in the repository root, e.g., with the MIT License text.

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 crewAIInc/crewAI-examples
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
LangChain
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. LangChain · recommended 1×
  2. LlamaIndex · recommended 1×
  3. Microsoft Semantic Kernel · recommended 1×
  4. Haystack · recommended 1×
  5. CrewAI · recommended 1×
  • CATEGORY QUERY
    How to build end-to-end AI agent applications with complex workflows and integrations?
    you: not recommended
    AI recommended (in order):
    1. LangChain
    2. LlamaIndex
    3. Microsoft Semantic Kernel
    4. Haystack
    5. CrewAI
    6. AutoGen
    7. OpenAI Assistants API

    AI recommended 7 alternatives but never named crewAIInc/crewAI-examples. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Looking for examples of multi-agent systems to automate business processes.
    you: not recommended
    AI recommended (in order):
    1. Camunda Platform
    2. JADE
    3. Anylogic
    4. Microsoft Power Automate
    5. Apache Flink
    6. Apache Kafka Streams
    7. OpenMRS

    AI recommended 7 alternatives but never named crewAIInc/crewAI-examples. 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 crewAIInc/crewAI-examples?
    pass
    AI named crewAIInc/crewAI-examples explicitly

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

  • If a team adopts crewAIInc/crewAI-examples in production, what risks or prerequisites should they evaluate first?
    pass
    AI named crewAIInc/crewAI-examples 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 crewAIInc/crewAI-examples solve, and who is the primary audience?
    pass
    AI did not name crewAIInc/crewAI-examples — 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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crewAIInc/crewAI-examples — Lite scans stay free; this card itemizes Pro deep limits vs Lite.

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