REPOGEO REPORT · LITE

FareedKhan-dev/all-agentic-architectures

Default branch main · commit 9612b347 · scanned 5/27/2026, 9:27:50 AM

GitHub: 3,379 stars · 591 forks

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 FareedKhan-dev/all-agentic-architectures, 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 README's opening sentence to emphasize 'architectures collection'

Why:

CURRENT

Welcome to a comprehensive, hands-on masterclass in **modern AI agent design**. This repository contains detailed implementations of **17+ state-of-the-art agentic architectures**, built with LangChain and LangGraph. It is designed to be a living textbook, bridging the gap between theoretical concepts and practical, production-ready code.

COPY-PASTE FIX

This repository is a comprehensive, hands-on masterclass and living textbook of **17+ state-of-the-art agentic architectures**, providing detailed, runnable implementations built with LangChain and LangGraph to bridge the gap between theoretical concepts and practical, production-ready code.

mediumreadme#2

Add a differentiator point about architecture comparison and selection guidance

Why:

COPY-PASTE FIX

Add a new bullet point under '📖 Why This Repository?':

**Comparative Insights & Selection Guidance:** Beyond implementation, we provide context on *when* and *why* to choose a particular architecture, helping you navigate the landscape of agentic design patterns.

lowtopics#3

Expand topics to include educational and architectural collection terms

Why:

CURRENT

agentic-ai, ai-agents, langchain, langgraph, langsmith, llm

COPY-PASTE FIX

agentic-ai, ai-agents, langchain, langgraph, langsmith, llm, ai-architecture-patterns, ai-agent-design, ai-agent-masterclass, educational-resource

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 FareedKhan-dev/all-agentic-architectures

Avg rank

—

Lower is better. #1 = top recommendation.

Share of voice

Of all named tools, what % are you?

Top rival

LangChain

Recommended in 2 of 2 queries

COMPETITOR LEADERBOARD

LangChain · recommended 2×
CrewAI · recommended 2×
LlamaIndex · recommended 1×
AutoGPT / BabyAGI · recommended 1×
Guidance · recommended 1×

CATEGORY QUERY
Where can I find diverse agentic patterns for robust AI application development?
you: not recommended
AI recommended (in order):
1. LangChain
2. LlamaIndex
3. AutoGPT / BabyAGI
4. CrewAI
5. Guidance
6. OpenAI Function Calling / Tool Use
AI recommended 6 alternatives but never named FareedKhan-dev/all-agentic-architectures. This is the gap to close.
Show full AI answer
CATEGORY QUERY
Need practical examples for building advanced autonomous AI agent systems.
you: not recommended
AI recommended (in order):
1. LangChain
2. AutoGPT
3. CrewAI
4. ROS (Robot Operating System)
5. PyBullet
6. Isaac Sim (NVIDIA)
7. Unity ML-Agents
8. Gymnasium (formerly OpenAI Gym)
9. Prolog / SWI-Prolog
10. RDFLib
AI recommended 10 alternatives but never named FareedKhan-dev/all-agentic-architectures. 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 FareedKhan-dev/all-agentic-architectures?
pass
AI did not name FareedKhan-dev/all-agentic-architectures — 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 FareedKhan-dev/all-agentic-architectures in production, what risks or prerequisites should they evaluate first?
pass
AI named FareedKhan-dev/all-agentic-architectures 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 FareedKhan-dev/all-agentic-architectures solve, and who is the primary audience?
pass
AI did not name FareedKhan-dev/all-agentic-architectures — 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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MARKDOWN (README)

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Deep reports10 / month
Brand-free category queries5 vs 2 in Lite
Prioritized action items8 vs 3 in Lite