RRepoGEO

REPOGEO REPORT · LITE

trendy-design/llmchat

Default branch main · commit ca51d98b · scanned 5/26/2026, 5:33:16 AM

GitHub: 1,067 stars · 203 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 trendy-design/llmchat, 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 README opening to clarify it's a complete application/platform

    Why:

    CURRENT
    LLMChat.co is a sophisticated AI-powered chatbot platform that prioritizes privacy while offering powerful research and agentic capabilities. Built as a monorepo with Next.js, TypeScript, and cutting-edge AI technologies, it provides multiple specialized chat modes including Pro Search and Deep Research for in-depth analysis of complex topics.
    COPY-PASTE FIX
    LLMChat.co is a privacy-focused, AI-powered chatbot application and platform designed for advanced research and agentic workflows. It offers a complete, deployable solution with specialized chat modes like Pro Search and Deep Research for in-depth analysis of complex topics, ensuring all user data remains local to the browser. Built as a monorepo with Next.js, TypeScript, and cutting-edge AI technologies, LLMChat.co serves as both a powerful tool for end-users and a robust reference architecture for developers building similar sophisticated AI applications.
  • mediumtopics#2
    Add specific topics for application type and key features

    Why:

    CURRENT
    ai, aisdk, claude, immer, llm, nextjs, shadcn-ui, tailwindcss, tiptap, typescript, vercel, zustand
    COPY-PASTE FIX
    ai, aisdk, claude, immer, llm, nextjs, shadcn-ui, tailwindcss, tiptap, typescript, vercel, zustand, ai-chatbot, privacy-first, agentic-ai, ai-research, llm-platform
  • lowreadme#3
    Add a 'Why LLMChat?' or 'Comparison' section to README

    Why:

    COPY-PASTE FIX
    Add a new section titled 'Why LLMChat?' or 'LLMChat: More Than Just a Library' to the README. This section should explicitly state that LLMChat is a complete, privacy-focused AI chatbot application and platform, not merely a developer library or framework like LangChain or LlamaIndex. Highlight its unique value proposition: a ready-to-use solution for advanced research and agentic workflows with local data storage, and a robust reference for building similar applications.

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 trendy-design/llmchat
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
LlamaIndex
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. LlamaIndex · recommended 1×
  2. LangChain · recommended 1×
  3. Hugging Face Transformers · recommended 1×
  4. PEFT · recommended 1×
  5. LoRA · recommended 1×
  • CATEGORY QUERY
    How to build a privacy-focused AI chatbot with advanced research and agentic workflows?
    you: not recommended
    AI recommended (in order):
    1. LlamaIndex
    2. LangChain
    3. Hugging Face Transformers
    4. PEFT
    5. LoRA
    6. Qdrant
    7. Weaviate
    8. Pinecone
    9. Llama 3
    10. Mistral
    11. Falcon
    12. Phi-3
    13. Ollama
    14. PrivateGPT
    15. ChromaDB
    16. LanceDB

    AI recommended 16 alternatives but never named trendy-design/llmchat. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What framework helps integrate multiple LLM providers into a Next.js chat interface?
    you: not recommended
    AI recommended (in order):
    1. LangChain.js (langchain-ai/langchainjs)
    2. LlamaIndex.TS (run-llama/LlamaIndexTS)
    3. Vercel AI SDK (vercel/ai)
    4. OpenAI SDK (openai/openai-node)
    5. Hugging Face Transformers.js (xenova/transformers.js)

    AI recommended 5 alternatives but never named trendy-design/llmchat. 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 trendy-design/llmchat?
    pass
    AI named trendy-design/llmchat explicitly

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

  • If a team adopts trendy-design/llmchat in production, what risks or prerequisites should they evaluate first?
    pass
    AI named trendy-design/llmchat 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 trendy-design/llmchat solve, and who is the primary audience?
    pass
    AI did not name trendy-design/llmchat — 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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trendy-design/llmchat — RepoGEO report