RRepoGEO

REPOGEO REPORT · LITE

badlogic/lemmy

Default branch main · commit 92e4ba60 · scanned 5/16/2026, 8:38:14 AM

GitHub: 1,602 stars · 301 forks

AI VISIBILITY SCORE
30 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
1 pass · 0 warn · 1 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 badlogic/lemmy, 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 project identity in README H1 and opening sentence

    Why:

    CURRENT
    # Lemmy Monorepo

A TypeScript ecosystem for building AI applications with unified LLM interfaces, terminal UIs, and practical tools.
    COPY-PASTE FIX
    # badlogic/lemmy: A TypeScript Ecosystem for AI Applications

This monorepo provides a TypeScript ecosystem for building AI applications, featuring unified LLM interfaces, terminal UIs, and practical tools. It is distinct from other projects also named 'Lemmy' (e.g., the federated social network client, Java HTTP server, or C++ game engine).
  • hightopics#2
    Add specific topics to improve categorization

    Why:

    COPY-PASTE FIX
    typescript, llm, ai, agentic-workflows, terminal-ui, cli, openai, anthropic, google-gemini, monorepo
  • highlicense#3
    Add a LICENSE file to the repository

    Why:

    COPY-PASTE FIX
    Create a LICENSE file in the repository root, for example, with the MIT License text.

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 badlogic/lemmy
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
langchain-ai/langchainjs
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. langchain-ai/langchainjs · recommended 2×
  2. run-llama/LlamaIndexTS · recommended 1×
  3. openai/openai-node · recommended 1×
  4. googleapis/google-cloud-node · recommended 1×
  5. xenova/transformers.js · recommended 1×
  • CATEGORY QUERY
    How to integrate multiple LLM providers with a unified TypeScript interface for AI apps?
    you: not recommended
    AI recommended (in order):
    1. LangChain.js (langchain-ai/langchainjs)
    2. LlamaIndex.TS (run-llama/LlamaIndexTS)
    3. OpenAI SDK (openai/openai-node)
    4. Google Cloud Vertex AI SDK (googleapis/google-cloud-node)
    5. Hugging Face Transformers.js (xenova/transformers.js)
    6. LiteLLM (BerriAI/litellm)

    AI recommended 6 alternatives but never named badlogic/lemmy. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    TypeScript library for building interactive CLI applications with AI agent capabilities and custom tools?
    you: not recommended
    AI recommended (in order):
    1. Commander.js (tj/commander.js)
    2. LangChain.js (langchain-ai/langchainjs)
    3. OpenAI
    4. Anthropic
    5. Google AI Studio
    6. Oclif (oclif/oclif)
    7. Inquirer.js (SBoudrias/Inquirer.js)
    8. Gluegun (infinitered/gluegun)
    9. Yargs (yargs/yargs)
    10. zx (google/zx)

    AI recommended 10 alternatives but never named badlogic/lemmy. This is the gap to close.

    Show full AI answer

Objective checks

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

  • Metadata completeness
    fail

    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 badlogic/lemmy?
    pass
    AI named badlogic/lemmy explicitly

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

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

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

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badlogic/lemmy — 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