RRepoGEO

REPOGEO REPORT · LITE

iannuttall/claude-agents

Default branch main · commit f7df2c3e · scanned 5/29/2026, 4:37:59 PM

GitHub: 2,058 stars · 274 forks

AI VISIBILITY SCORE
22 /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
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 iannuttall/claude-agents, 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 H1 and opening sentence to clarify purpose

    Why:

    CURRENT
    # Claude Code Custom Agents

This repository contains custom agents for Claude Code.
    COPY-PASTE FIX
    # Pre-built Custom Subagents for Anthropic Claude Code

This repository provides a collection of ready-to-use custom subagents designed specifically for Anthropic's Claude Code, enhancing its capabilities for specialized software development tasks.
  • hightopics#2
    Add relevant topics to the repository

    Why:

    COPY-PASTE FIX
    claude, anthropic, ai-agents, custom-agents, code-generation, code-refactoring, software-development, developer-tools, subagents
  • mediumreadme#3
    Add a sentence to the README clarifying the problem solved and value proposition

    Why:

    COPY-PASTE FIX
    (To be inserted after the new opening sentence) These agents extend Claude Code's default functionalities, allowing developers to quickly integrate specialized assistance for tasks like security auditing, frontend design, and project planning without building agents from scratch.

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 iannuttall/claude-agents
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
crewai/crewai
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. crewai/crewai · recommended 1×
  2. microsoft/autogen · recommended 1×
  3. langchain-ai/langchain · recommended 1×
  4. run-llama/llama_index · recommended 1×
  5. deepset-ai/haystack · recommended 1×
  • CATEGORY QUERY
    How to add specialized AI subagents for diverse software development tasks?
    you: not recommended
    AI recommended (in order):
    1. CrewAI (crewai/crewai)
    2. AutoGen (microsoft/autogen)
    3. LangChain Agents (langchain-ai/langchain)
    4. LlamaIndex Agents (run-llama/llama_index)
    5. Haystack Agents (deepset-ai/haystack)
    6. OpenAI Assistants API
    7. Smol-developer (smol-ai/smol-developer)

    AI recommended 7 alternatives but never named iannuttall/claude-agents. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What AI tools offer advanced assistance for code refactoring and project task breakdown?
    you: not recommended
    AI recommended (in order):
    1. GitHub Copilot Enterprise
    2. Codeium
    3. Tabnine
    4. Sourcery AI
    5. CodiumAI
    6. ChatGPT
    7. Google Gemini

    AI recommended 7 alternatives but never named iannuttall/claude-agents. 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 iannuttall/claude-agents?
    pass
    AI did not name iannuttall/claude-agents — 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 iannuttall/claude-agents in production, what risks or prerequisites should they evaluate first?
    pass
    AI named iannuttall/claude-agents 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 iannuttall/claude-agents solve, and who is the primary audience?
    pass
    AI did not name iannuttall/claude-agents — 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?

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iannuttall/claude-agents — 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