RRepoGEO

REPOGEO REPORT · LITE

dlorenc/multiclaude

Default branch main · commit dfad1a58 · scanned 6/4/2026, 11:18:00 PM

GitHub: 550 stars · 55 forks

AI VISIBILITY SCORE
30 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
1 pass · 0 warn · 1 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 dlorenc/multiclaude, 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
  • highabout#1
    Add a concise About description for the repository

    Why:

    COPY-PASTE FIX
    Spawns autonomous Claude Code agents that coordinate, compete, and collaborate on your codebase, automating PR generation through a Brownian ratchet philosophy.
  • highlicense#2
    Add a standard open-source license file

    Why:

    COPY-PASTE FIX
    Add a standard open-source license file (e.g., MIT, Apache-2.0, GPL-3.0) to the repository root.

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 dlorenc/multiclaude
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
joaomdmoura/crewAI
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. joaomdmoura/crewAI · recommended 1×
  2. microsoft/autogen · recommended 1×
  3. langchain-ai/langchain · recommended 1×
  4. KillianLucas/open-interpreter · recommended 1×
  5. deepset-ai/haystack · recommended 1×
  • CATEGORY QUERY
    Looking for a tool to manage multiple AI agents collaborating on code development tasks.
    you: not recommended
    AI recommended (in order):
    1. CrewAI (joaomdmoura/crewAI)
    2. AutoGen (microsoft/autogen)
    3. LangChain (langchain-ai/langchain)
    4. Open Interpreter (KillianLucas/open-interpreter)
    5. Haystack (deepset-ai/haystack)
    6. LlamaIndex (run-llama/llama_index)

    AI recommended 6 alternatives but never named dlorenc/multiclaude. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    How to automate code changes and pull request generation using autonomous AI agents?
    you: not recommended
    AI recommended (in order):
    1. GitHub Copilot
    2. Cursor IDE
    3. Smol-dev
    4. Devin
    5. OpenDevin
    6. Aider
    7. LangChain
    8. LlamaIndex

    AI recommended 8 alternatives but never named dlorenc/multiclaude. This is the gap to close.

    Show full AI answer

Objective checks

Rule-based audits of metadata signals AI engines weight most.

  • Metadata completeness
    fail

    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 dlorenc/multiclaude?
    pass
    AI named dlorenc/multiclaude explicitly

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

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

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

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dlorenc/multiclaude — 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