REPOGEO REPORT · LITE
crewAIInc/crewAI-examples
Default branch main · commit da94a91e · scanned 6/29/2026, 5:27:28 AM
GitHub: 6,058 stars · 2,144 forks
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.
2 ready scans. Expand the table below for newest-first rows (10 per page, paginated).
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.
- highreadme#1Reposition README introduction to clarify role as framework examples
Why:
CURRENTWelcome to the official collection of **complete CrewAI applications**. This repository contains end-to-end implementations that showcase how to build real-world applications using CrewAI's framework for orchestrating AI agents.
COPY-PASTE FIXWelcome to the official repository for **CrewAI framework examples**. This collection provides complete, end-to-end implementations that showcase how to build real-world applications using the CrewAI framework for orchestrating AI agents.
- mediumlicense#2Add a LICENSE file to the repository
Why:
COPY-PASTE FIXCreate a LICENSE file in the repository root with the MIT License text.
- mediumhomepage#3Add a homepage URL to the repository metadata
Why:
COPY-PASTE FIXSet the repository homepage URL to `https://www.crewai.com`.
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.
- LangChain · recommended 2×
- LlamaIndex · recommended 2×
- AutoGen · recommended 1×
- CrewAI · recommended 1×
- Haystack · recommended 1×
- CATEGORY QUERYHow can I build applications orchestrating multiple AI agents for complex, end-to-end workflows?you: not recommendedAI recommended (in order):
- LangChain
- LlamaIndex
- AutoGen
- CrewAI
- Haystack
- OpenAI Assistants API
- Marvin
AI recommended 7 alternatives but never named crewAIInc/crewAI-examples. This is the gap to close.
Show full AI answer
- CATEGORY QUERYWhere can I find full application examples for building multi-agent AI systems?you: not recommendedAI recommended (in order):
- Mesa
- PettingZoo
- LangChain
- LlamaIndex
- crewAI
- NetLogo
- Gymnasium
- OpenAI Gym
- SMAC
- Google Research Football
AI recommended 10 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 completenesswarn
Suggestion:
- README presencepass
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?passAI 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?
- If a team adopts crewAIInc/crewAI-examples in production, what risks or prerequisites should they evaluate first?passAI 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?passAI 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?
Embed your GEO score
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crewAIInc/crewAI-examples — 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