RRepoGEO

REPOGEO REPORT · LITE

frankbria/ralph-claude-code

Default branch main · commit 0c1d7bf8 · scanned 6/18/2026, 2:57:57 AM

GitHub: 9,376 stars · 720 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 frankbria/ralph-claude-code, 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 the README's opening to clarify its unique role as an autonomous development loop for Claude Code, not a generic AI framework.

    Why:

    CURRENT
    > **Autonomous AI development loop with intelligent exit detection and rate limiting**

Ralph is an implementation of the Geoffrey Huntley's technique for Claude Code that enables continuous autonomous development cycles he named after Ralph Wiggum. It enables continuous autonomous development cycles where Claude Code iteratively improves your project until completion, with built-in safeguards to prevent infinite loops and API overuse.
    COPY-PASTE FIX
    Ralph for Claude Code is an **autonomous AI development loop** specifically designed to accelerate and safeguard the creation of Claude Code agents. It enables continuous, iterative development cycles where Claude Code refines your project until completion, with built-in safeguards against infinite loops and API overuse. This tool is for developers who want to automate the entire agent development workflow, not just generate single-turn code.
  • mediumtopics#2
    Add more specific topics to differentiate from generic AI frameworks.

    Why:

    CURRENT
    ai, ai-agent, ai-agents, ai-development, ai-development-tools, claude-code, claude-code-cli, development-tools, development-workflow
    COPY-PASTE FIX
    ai, ai-agent, ai-agents, ai-development, ai-development-tools, claude-code, claude-code-cli, development-tools, development-workflow, autonomous-ai-development, ai-agent-workflow, iterative-development, claude-ai-tools, ai-code-generation-loop
  • lowhomepage#3
    Add a homepage URL to the About section.

    Why:

    COPY-PASTE FIX
    https://github.com/frankbria/ralph-claude-code

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 frankbria/ralph-claude-code
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
LangChain
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. LangChain · recommended 2×
  2. LlamaIndex · recommended 2×
  3. Microsoft Semantic Kernel · recommended 2×
  4. OpenAI Assistants API · recommended 2×
  5. Haystack · recommended 2×
  • CATEGORY QUERY
    How to automate iterative AI code development with built-in loop and API cost controls?
    you: not recommended
    AI recommended (in order):
    1. LangChain
    2. LlamaIndex
    3. Microsoft Semantic Kernel
    4. OpenAI Assistants API
    5. Haystack

    AI recommended 5 alternatives but never named frankbria/ralph-claude-code. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Tool for continuous AI agent development workflow with intelligent completion detection?
    you: not recommended
    AI recommended (in order):
    1. LangChain
    2. LangSmith
    3. LlamaIndex
    4. LlamaCloud
    5. LlamaParse
    6. OpenAI Assistants API
    7. Microsoft Semantic Kernel
    8. Azure AI Studio
    9. Haystack
    10. Haystack UI

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