RRepoGEO

REPOGEO REPORT · LITE

Holmeswww/AgentKit

Default branch main · commit c77e8e9a · scanned 6/3/2026, 7:27:01 PM

GitHub: 521 stars · 62 forks

AI VISIBILITY SCORE
35 /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
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 Holmeswww/AgentKit, 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

2 prioritized changes generated by gemini-2.5-flash. Mark items done after you ship the fix.

OVERALL DIRECTION
  • mediumhomepage#1
    Set the repository homepage URL

    Why:

    COPY-PASTE FIX
    https://agentkit.readthedocs.io/
  • lowreadme#2
    Explicitly mention "visual" or "graph-based" in the README's opening

    Why:

    CURRENT
    AgentKit offers a unified framework for explicitly constructing a complex human "thought process" from simple natural language prompts. The user puts together chains of *nodes*, like stacking LEGO pieces. The chains of nodes can be designed to explicitly enforce a naturally *structured* "thought process".
    COPY-PASTE FIX
    AgentKit offers a unified framework for explicitly constructing a complex human "thought process" from simple natural language prompts. This **graph-based, visual flow engineering** approach lets users put together chains of *nodes*, like stacking LEGO pieces, to design and enforce a naturally *structured* "thought process".

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 Holmeswww/AgentKit
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
FlowiseAI/Flowise
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. FlowiseAI/Flowise · recommended 2×
  2. run-llama/llama_index · recommended 2×
  3. LangChain Expression Language (LCEL) / LangChain Playground · recommended 1×
  4. Microsoft Copilot Studio · recommended 1×
  5. Voiceflow · recommended 1×
  • CATEGORY QUERY
    How to build complex LLM agent workflows without extensive coding?
    you: not recommended
    AI recommended (in order):
    1. LangChain Expression Language (LCEL) / LangChain Playground
    2. Microsoft Copilot Studio
    3. Voiceflow
    4. FlowiseAI (FlowiseAI/Flowise)
    5. LlamaIndex (run-llama/llama_index)
    6. PromptLayer
    7. Zapier
    8. Make

    AI recommended 8 alternatives but never named Holmeswww/AgentKit. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Tool for designing multi-step LLM agent thought processes using a visual flow?
    you: not recommended
    AI recommended (in order):
    1. LangChain Expression Language (LCEL) (langchain-ai/langchain)
    2. LangSmith (langchain-ai/langsmith)
    3. PromptFlow
    4. Dust (dust-ai/dust)
    5. FlowiseAI (FlowiseAI/Flowise)
    6. LlamaIndex (run-llama/llama_index)
    7. Magentic (jacksmith15/magentic)
    8. Open Interpreter (KillianLucas/open-interpreter)

    AI recommended 8 alternatives but never named Holmeswww/AgentKit. 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 Holmeswww/AgentKit?
    pass
    AI named Holmeswww/AgentKit explicitly

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

  • If a team adopts Holmeswww/AgentKit in production, what risks or prerequisites should they evaluate first?
    pass
    AI named Holmeswww/AgentKit 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 Holmeswww/AgentKit solve, and who is the primary audience?
    pass
    AI named Holmeswww/AgentKit 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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MARKDOWN (README)
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Holmeswww/AgentKit — 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