RRepoGEO

REPOGEO REPORT · LITE

crmne/ruby_llm

Default branch main · commit ff392893 · scanned 5/11/2026, 3:02:21 AM

GitHub: 3,910 stars · 440 forks

AI VISIBILITY SCORE
33 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
2 pass · 0 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 crmne/ruby_llm, 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
    Clarify or remove 'early development' status in README

    Why:

    CURRENT
    The README explicitly states: 'This library is still in early development and is not yet ready for production use.'
    COPY-PASTE FIX
    Review the README for any statements indicating 'early development' or 'not ready for production.' If the project is more mature, update or remove these statements. If still relevant, rephrase to highlight current stability for specific features or provide a roadmap to production readiness.
  • highreadme#2
    Enhance README's opening tagline to highlight unified multi-provider API

    Why:

    CURRENT
    One *beautiful* Ruby API for GPT, Claude, Gemini, and more.
    COPY-PASTE FIX
    Update the main tagline to: 'One *beautiful* Ruby API for GPT, Claude, Gemini, and more. **A unified, provider-agnostic interface for building AI agents and chatbots across all major LLMs.**'
  • mediumcomparison#3
    Add a 'Comparison with Alternatives' section to README

    Why:

    COPY-PASTE FIX
    Add a new section to the README, e.g., 'Comparison with Alternatives,' that explicitly outlines how RubyLLM's unified API and multi-provider support differentiates it from single-provider clients (like `openai-ruby`) and broader frameworks (like `LangChain.rb`).

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 crmne/ruby_llm
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
googleapis/google-cloud-ruby
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. googleapis/google-cloud-ruby · recommended 2×
  2. andreibondarev/langchain.rb · recommended 1×
  3. openai/openai-ruby · recommended 1×
  4. andreibondarev/transformers.rb · recommended 1×
  5. jnunemaker/httparty · recommended 1×
  • CATEGORY QUERY
    How can I integrate multiple large language models into a Ruby application using a single interface?
    you: not recommended
    AI recommended (in order):
    1. LangChain.rb (andreibondarev/langchain.rb)
    2. openai-ruby (openai/openai-ruby)
    3. google-cloud-ai_platform (googleapis/google-cloud-ruby)
    4. google-cloud-language (googleapis/google-cloud-ruby)
    5. transformers.rb (andreibondarev/transformers.rb)
    6. HTTParty (jnunemaker/httparty)
    7. Faraday (lostisland/faraday)
    8. RestClient (rest-client/rest-client)

    AI recommended 8 alternatives but never named crmne/ruby_llm. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What's a good Ruby library for building AI agents and chatbots with various model providers?
    you: not recommended
    AI recommended (in order):
    1. LangChain.rb
    2. Ruby-OpenAI
    3. Llama_index.rb
    4. Google Cloud Ruby Client Libraries
    5. Anthropic Ruby Client

    AI recommended 5 alternatives but never named crmne/ruby_llm. This is the gap to close.

    Show full AI answer

Objective checks

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

  • Metadata completeness
    pass

  • 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 crmne/ruby_llm?
    pass
    AI named crmne/ruby_llm explicitly

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

  • If a team adopts crmne/ruby_llm in production, what risks or prerequisites should they evaluate first?
    pass
    AI did not name crmne/ruby_llm — 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?

  • In one sentence, what problem does the repo crmne/ruby_llm solve, and who is the primary audience?
    pass
    AI named crmne/ruby_llm 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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