RRepoGEO

REPOGEO REPORT · LITE

michaelshimeles/ralphy

Default branch main · commit 506eea0e · scanned 5/24/2026, 10:12:30 PM

GitHub: 2,874 stars · 356 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 michaelshimeles/ralphy, 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
    Strengthen README's opening sentence to clarify core function

    Why:

    CURRENT
    Autonomous AI coding loop. Runs AI agents on tasks until done.
    COPY-PASTE FIX
    Ralphy is an autonomous AI coding agent loop that orchestrates multiple AI models (Claude Code, Codex, OpenCode, Cursor, Qwen, Droid) to complete software development tasks from a Product Requirements Document (PRD).
  • hightopics#2
    Add category-relevant topics for AI agent orchestration

    Why:

    CURRENT
    claude-code, opencode, ralph-loop, ralph-wiggum, ralphy
    COPY-PASTE FIX
    ai-agent, autonomous-ai, code-generation, software-development, task-automation, prd-automation, multi-agent-system, claude-code, opencode, ralph-loop, ralph-wiggum, ralphy
  • highlicense#3
    Add a LICENSE file to the repository

    Why:

    CURRENT
    (no LICENSE file detected — the repo has no recognizable license)
    COPY-PASTE FIX
    Create a LICENSE file (e.g., MIT, Apache-2.0, GPL-3.0) in the repository root to clarify usage rights.

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 michaelshimeles/ralphy
Avg rank
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
AgentGPT
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. AgentGPT · recommended 2×
  2. BabyAGI · recommended 2×
  3. AutoGPT · recommended 1×
  4. LangChain Agents · recommended 1×
  5. CrewAI · recommended 1×
  • CATEGORY QUERY
    How can I set up an autonomous AI agent loop for code generation and task completion?
    you: not recommended
    AI recommended (in order):
    1. AutoGPT
    2. AgentGPT
    3. BabyAGI
    4. LangChain Agents
    5. CrewAI
    6. Open Interpreter
    7. Smol-Developer

    AI recommended 7 alternatives but never named michaelshimeles/ralphy. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What tools automate software development by running multiple AI coding agents on a PRD?
    you: not recommended
    AI recommended (in order):
    1. AutoGPT (Significant-Gravitas/AutoGPT)
    2. AgentGPT
    3. SuperAGI
    4. BabyAGI
    5. CrewAI (joaomdmoura/crewAI)
    6. LangChain (langchain-ai/langchain)
    7. OpenDevin (OpenDevin/OpenDevin)
    8. Cognition Labs' Devin
    9. GitHub Copilot Workspace

    AI recommended 9 alternatives but never named michaelshimeles/ralphy. 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 michaelshimeles/ralphy?
    pass
    AI named michaelshimeles/ralphy explicitly

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

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