RRepoGEO

REPOGEO REPORT · LITE

kyegomez/swarms

Default branch master · commit 517fb20a · scanned 5/27/2026, 10:36:25 AM

GitHub: 6,751 stars · 937 forks

AI VISIBILITY SCORE
40 /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
3 / 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 kyegomez/swarms, 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
    Reposition README opening to clarify AI agentic focus

    Why:

    CURRENT
    Swarms, The Enterprise-Grade Production-Ready Multi-Agent Orchestration Framework
    COPY-PASTE FIX
    Swarms is the Enterprise-Grade Production-Ready Multi-Agent Orchestration Framework. It is purpose-built for developing and deploying complex AI agentic systems, not general workflow orchestration.
  • mediumreadme#2
    Emphasize core differentiators in README

    Why:

    COPY-PASTE FIX
    Add a dedicated 'Core Differentiators' or 'Why Swarms?' section to the README, explicitly listing features like advanced cognitive architectures, integrated memory and planning, and robust deployment features for complex AI agentic systems, as identified by AI when prompted directly.
  • lowtopics#3
    Expand GitHub topics with more specific keywords

    Why:

    CURRENT
    agentic-ai, agentic-workflow, agents, ai, artificial-intelligence, chatgpt, claude-code, gpt4all, huggingface, langchain, langchain-python, machine-learning, multi-agent-systems, prompt-engineering, prompt-toolkit, prompting, swarms, tree-of-thoughts
    COPY-PASTE FIX
    agentic-ai, agentic-workflow, agents, ai, artificial-intelligence, chatgpt, claude-code, gpt4all, huggingface, langchain, langchain-python, machine-learning, multi-agent-systems, prompt-engineering, prompt-toolkit, prompting, swarms, tree-of-thoughts, ai-orchestration, enterprise-ai, scalable-ai, production-ai-agents

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 kyegomez/swarms
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Apache Airflow
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. Apache Airflow · recommended 2×
  2. LangChain · recommended 1×
  3. Microsoft Semantic Kernel · recommended 1×
  4. Haystack · recommended 1×
  5. AutoGPT · recommended 1×
  • CATEGORY QUERY
    How can I build and orchestrate multiple AI agents for complex enterprise workflows?
    you: not recommended
    AI recommended (in order):
    1. LangChain
    2. Microsoft Semantic Kernel
    3. Haystack
    4. AutoGPT
    5. BabyAGI
    6. Rasa
    7. Apache Airflow

    AI recommended 7 alternatives but never named kyegomez/swarms. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What framework provides robust, production-ready orchestration for building scalable AI agentic systems?
    you: not recommended
    AI recommended (in order):
    1. Kubeflow
    2. Apache Airflow
    3. Metaflow
    4. Ray
    5. MLflow
    6. Temporal

    AI recommended 6 alternatives but never named kyegomez/swarms. 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 kyegomez/swarms?
    pass
    AI named kyegomez/swarms explicitly

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

  • If a team adopts kyegomez/swarms in production, what risks or prerequisites should they evaluate first?
    pass
    AI named kyegomez/swarms 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 kyegomez/swarms solve, and who is the primary audience?
    pass
    AI named kyegomez/swarms explicitly

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

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kyegomez/swarms — 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