RRepoGEO

REPOGEO REPORT · LITE

vijaythecoder/awesome-claude-agents

Default branch main · commit 2050f3c6 · scanned 6/30/2026, 3:46:44 AM

GitHub: 4,324 stars · 528 forks

Scan history for this repo

Score trend below includes all ready runs (older left, newer right; scroll horizontally if needed). The table is collapsed by default—expand for newest-first rows, 10 per page.

Score trend (left → right: older → newer)

2 ready scans. Expand the table below for newest-first rows (10 per page, paginated).

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 vijaythecoder/awesome-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 it's a framework, not a list

    Why:

    CURRENT
    # Awesome Claude Agents - AI Development Team 🚀

**Supercharge Claude Code with a team of specialized AI agents** that work together to build complete features...
    COPY-PASTE FIX
    # Claude Agent Team: Orchestrated AI Development Framework 🚀

**This repository provides a framework to supercharge Claude Code with a team of specialized AI agents** that work together to build complete features...
  • hightopics#2
    Add relevant topics to the repository

    Why:

    COPY-PASTE FIX
    claude, ai-agents, agent-orchestration, llm-agents, software-development, dev-team, anthropic, generative-ai
  • mediumreadme#3
    Add an explicit statement clarifying the repo's nature as a tool/framework

    Why:

    COPY-PASTE FIX
    Add a new section or a prominent paragraph early in the README, perhaps after the initial description, stating: "⚠️ **Important Clarification:** This project is a functional codebase and framework for deploying an orchestrated team of Claude AI agents, not merely a curated list of external resources. It is designed for direct integration into your development workflow."

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 vijaythecoder/awesome-claude-agents
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
LangChain
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. LangChain · recommended 1×
  2. AutoGen · recommended 1×
  3. CrewAI · recommended 1×
  4. Haystack · recommended 1×
  5. OpenAI Assistants API · recommended 1×
  • CATEGORY QUERY
    How to orchestrate multiple AI agents for collaborative software development tasks?
    you: not recommended
    AI recommended (in order):
    1. LangChain
    2. AutoGen
    3. CrewAI
    4. Haystack
    5. OpenAI Assistants API
    6. LlamaIndex

    AI recommended 6 alternatives but never named vijaythecoder/awesome-claude-agents. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What tools help automate feature building and debugging using AI development teams?
    you: not recommended
    AI recommended (in order):
    1. GitHub Copilot Enterprise
    2. GitLab Duo Enterprise
    3. CodiumAI
    4. Tabnine
    5. DeepSource
    6. SonarQube
    7. Datadog
    8. New Relic
    9. OpenAI API
    10. Anthropic Claude API

    AI recommended 10 alternatives but never named vijaythecoder/awesome-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 vijaythecoder/awesome-claude-agents?
    pass
    AI did not name vijaythecoder/awesome-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 vijaythecoder/awesome-claude-agents in production, what risks or prerequisites should they evaluate first?
    pass
    AI named vijaythecoder/awesome-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 vijaythecoder/awesome-claude-agents solve, and who is the primary audience?
    pass
    AI did not name vijaythecoder/awesome-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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vijaythecoder/awesome-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