RRepoGEO

REPOGEO REPORT · LITE

strands-agents/agent-sop

Default branch main · commit 666897b9 · scanned 5/31/2026, 3:06:54 PM

GitHub: 990 stars · 90 forks

AI VISIBILITY SCORE
33 /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
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 strands-agents/agent-sop, 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
    Expand repository topics to improve category visibility

    Why:

    CURRENT
    strands-agents
    COPY-PASTE FIX
    strands-agents, ai-agents, agent-framework, llm-orchestration, natural-language-workflows, workflow-automation, standard-operating-procedures, agentic-ai
  • highreadme#2
    Strengthen README's opening to explicitly position as an AI agent orchestration framework

    Why:

    CURRENT
    Natural language workflows that enable AI agents to perform complex, multi-step tasks with consistency and reliability.
    COPY-PASTE FIX
    Agent SOP is an open-source framework for defining natural language workflows that enable AI agents to perform complex, multi-step tasks with consistency and reliability. It provides a standardized, markdown-based approach to orchestrate autonomous AI agents.
  • mediumreadme#3
    Add a 'Why Agent SOPs?' or 'Comparison' section to highlight differentiators

    Why:

    COPY-PASTE FIX
    ## Why Agent SOPs?

Agent SOPs stand out by offering a declarative, markdown-based approach to defining AI agent workflows. Unlike traditional code-based orchestration, SOPs use natural language, parameterized inputs, and constraint-based execution to create reusable, auditable, and human-readable instructions that work across different AI systems. This enables teams to standardize complex agent behaviors, ensure consistency, and simplify collaboration without deep programming knowledge.

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 strands-agents/agent-sop
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. LlamaIndex · recommended 2×
  3. Microsoft Guidance · recommended 1×
  4. AutoGPT / BabyAGI · recommended 1×
  5. OpenAI Function Calling / Tool Use · recommended 1×
  • CATEGORY QUERY
    How to define multi-step AI agent tasks using natural language instructions?
    you: not recommended
    AI recommended (in order):
    1. LangChain
    2. LlamaIndex
    3. Microsoft Guidance
    4. AutoGPT / BabyAGI
    5. OpenAI Function Calling / Tool Use
    6. Prompt Engineering with Chain-of-Thought (CoT) and Tree-of-Thought (ToT)
    7. Hugging Face Transformers Agents

    AI recommended 7 alternatives but never named strands-agents/agent-sop. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Tool for creating consistent, reusable workflows for autonomous AI agents?
    you: not recommended
    AI recommended (in order):
    1. LangChain
    2. LlamaIndex
    3. Haystack
    4. AutoGPT
    5. Microsoft Semantic Kernel
    6. CrewAI

    AI recommended 6 alternatives but never named strands-agents/agent-sop. 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 strands-agents/agent-sop?
    pass
    AI did not name strands-agents/agent-sop — 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 strands-agents/agent-sop in production, what risks or prerequisites should they evaluate first?
    pass
    AI named strands-agents/agent-sop 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 strands-agents/agent-sop solve, and who is the primary audience?
    pass
    AI named strands-agents/agent-sop explicitly

    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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strands-agents/agent-sop — 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