RRepoGEO

REPOGEO REPORT · LITE

Th0rgal/open-ralph-wiggum

Default branch master · commit 53c87ded · scanned 5/26/2026, 2:42:36 PM

GitHub: 1,734 stars · 135 forks

AI VISIBILITY SCORE
28 /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
2 / 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 Th0rgal/open-ralph-wiggum, 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
  • highabout#1
    Update the repository description to clearly state its purpose

    Why:

    CURRENT
    Type `ralph "prompt"` to start open code in a ralph loop. Also supports a prompt file & status check. Open Code, Claude Code, Codex, Copilot
    COPY-PASTE FIX
    An autonomous agentic loop CLI for orchestrating multiple AI coding agents (Claude Code, Codex, Copilot, Cursor, Qwen, OpenCode) for continuous code generation and iteration.
  • hightopics#2
    Add broader, category-defining topics

    Why:

    CURRENT
    claude-code, open-code, opencode, ralph, ralph-wiggum
    COPY-PASTE FIX
    autonomous-agents, ai-orchestration, code-generation, developer-tools, cli, claude-code, open-code, opencode, ralph, ralph-wiggum
  • mediumhomepage#3
    Add a homepage URL to the repository metadata

    Why:

    COPY-PASTE FIX
    https://github.com/Th0rgal/open-ralph-wiggum

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 Th0rgal/open-ralph-wiggum
Avg rank
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
CrewAI
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. CrewAI · recommended 2×
  2. AutoGPT · recommended 1×
  3. BabyAGI · recommended 1×
  4. MetaGPT · recommended 1×
  5. LangChain Agents · recommended 1×
  • CATEGORY QUERY
    How to set up an autonomous agent for continuous code generation and iteration?
    you: not recommended
    AI recommended (in order):
    1. AutoGPT
    2. BabyAGI
    3. MetaGPT
    4. LangChain Agents
    5. CrewAI
    6. Smol-Developer
    7. Open Interpreter

    AI recommended 7 alternatives but never named Th0rgal/open-ralph-wiggum. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What tools help orchestrate multiple AI programming agents for a development workflow?
    you: not recommended
    AI recommended (in order):
    1. LangChain
    2. AutoGen
    3. CrewAI
    4. LlamaIndex
    5. Haystack
    6. Semantic Kernel
    7. OpenAI Assistants API

    AI recommended 7 alternatives but never named Th0rgal/open-ralph-wiggum. 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 Th0rgal/open-ralph-wiggum?
    pass
    AI named Th0rgal/open-ralph-wiggum explicitly

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

  • If a team adopts Th0rgal/open-ralph-wiggum in production, what risks or prerequisites should they evaluate first?
    pass
    AI named Th0rgal/open-ralph-wiggum 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 Th0rgal/open-ralph-wiggum solve, and who is the primary audience?
    pass
    AI did not name Th0rgal/open-ralph-wiggum — 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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Th0rgal/open-ralph-wiggum — 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