RRepoGEO

REPOGEO REPORT · LITE

ThibautBaissac/rails_ai_agents

Default branch main · commit 88229d91 · scanned 5/31/2026, 2:42:54 PM

GitHub: 576 stars · 67 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 ThibautBaissac/rails_ai_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
  • hightopics#1
    Add comprehensive topics for better categorization

    Why:

    COPY-PASTE FIX
    ruby-on-rails, ai-agents, spec-driven-development, tdd, claude-ai, llm-framework, ai-development, rails-development, ai-assistant
  • highreadme#2
    Reposition README H1 and opening sentence to emphasize Rails framework for AI agents

    Why:

    CURRENT
    # Rails AI Agents
A production-ready Claude Code setup for Ruby on Rails development: **19 specialized agents**...
    COPY-PASTE FIX
    # Rails AI Agents: An Opinionated Framework for AI-Driven Development
A production-ready, opinionated framework for integrating Claude AI agents and specialized skills directly into Ruby on Rails applications. It provides **19 specialized agents**, **26 slash commands** (including a powerful [Spec Driven Development (SDD) kit](#spec-driven-development-sdd-kit) for AI-driven TDD workflows), **18 skills**, **14 rules**, **1 MCP**, and **6 lifecycle hooks** to instantly equip your AI assistant with Rails conventions and production patterns.
  • mediumabout#3
    Refine 'About' description to emphasize 'framework'

    Why:

    CURRENT
    Specialized AI skills, agents, rules and hooks for modern Rails AI driven-development + Spec-Driven-Development kit + MCP
    COPY-PASTE FIX
    An opinionated framework for specialized AI skills, agents, rules and hooks, enabling modern Rails AI-driven development, including a comprehensive Spec-Driven-Development kit and MCP.

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 ThibautBaissac/rails_ai_agents
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
openai/ruby-openai
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. openai/ruby-openai · recommended 1×
  2. andreibondarev/langchainrb · recommended 1×
  3. huggingface/transformers · recommended 1×
  4. googleapis/google-cloud-ruby · recommended 1×
  5. aws/aws-sdk-ruby · recommended 1×
  • CATEGORY QUERY
    How to integrate AI agents and specialized skills into a Ruby on Rails project?
    you: not recommended
    AI recommended (in order):
    1. OpenAI API (openai/ruby-openai)
    2. LangChain.rb (andreibondarev/langchainrb)
    3. Hugging Face Transformers (huggingface/transformers)
    4. Google Cloud AI Platform / Vertex AI (googleapis/google-cloud-ruby)
    5. AWS AI Services (aws/aws-sdk-ruby)
    6. Flask (pallets/flask)
    7. Django (django/django)
    8. FastAPI (tiangolo/fastapi)
    9. Pinecone (pinecone-io/pinecone-ruby)
    10. Weaviate (weaviate/weaviate-ruby-client)
    11. Chroma (chroma-core/chroma-rb)

    AI recommended 11 alternatives but never named ThibautBaissac/rails_ai_agents. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Seeking an AI assistant setup for Spec-Driven-Development or TDD in Rails applications.
    you: not recommended
    AI recommended (in order):
    1. GitHub Copilot
    2. VS Code (microsoft/vscode)
    3. JetBrains RubyMine
    4. ChatGPT
    5. GPT-4
    6. Tabnine
    7. Codeium (Exafunction/codeium)
    8. JetBrains AI Assistant

    AI recommended 8 alternatives but never named ThibautBaissac/rails_ai_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 ThibautBaissac/rails_ai_agents?
    pass
    AI named ThibautBaissac/rails_ai_agents explicitly

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

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

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

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  • Brand-free category queries5 vs 2 in Lite
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