RRepoGEO

REPOGEO REPORT · LITE

jakobdylanc/llmcord

Default branch main · commit a5335de8 · scanned 6/4/2026, 3:52:48 AM

GitHub: 807 stars · 193 forks

AI VISIBILITY SCORE
28 /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
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 jakobdylanc/llmcord, 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 H3 to specify category

    Why:

    CURRENT
    <h3 align="center"><i>Talk to LLMs with your friends!</i></h3>
    COPY-PASTE FIX
    <h3 align="center"><i>The Collaborative LLM Discord Bot</i></h3>
  • hightopics#2
    Add more specific Discord AI bot topics

    Why:

    CURRENT
    bot, chatbot, discord, discord-bot, gemini, gpt-5, grok-4, llama, llm, mistral, ollama, openai, openrouter, vllm
    COPY-PASTE FIX
    bot, chatbot, discord, discord-bot, gemini, gpt-5, grok-4, llama, llm, mistral, ollama, openai, openrouter, vllm, discord-ai-bot, ai-chatbot-discord, llm-discord-app
  • mediumreadme#3
    Add a 'Comparison to Alternatives' section in README

    Why:

    COPY-PASTE FIX
    ## Why llmcord? (Comparison to Alternatives)

Unlike general Discord API wrappers (e.g., `discord.py`, `discord.js`), llmcord is a complete, ready-to-use application specifically designed for integrating Large Language Models into Discord. While frameworks like `LangChain` or `LlamaIndex` provide tools for building LLM applications, llmcord offers a plug-and-play solution for Discord, focusing on a collaborative, reply-based chat system and broad LLM compatibility (local and remote) without requiring extensive coding.

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 jakobdylanc/llmcord
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
ChatGPT
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. ChatGPT · recommended 1×
  2. discord.py · recommended 1×
  3. discord.js · recommended 1×
  4. Claude · recommended 1×
  5. Google Gemini · recommended 1×
  • CATEGORY QUERY
    How to add an AI chatbot to a Discord server for interactive conversations?
    you: not recommended
    AI recommended (in order):
    1. ChatGPT
    2. discord.py
    3. discord.js
    4. Claude
    5. Google Gemini
    6. MEE6
    7. Dyno
    8. UnbelievaBoat

    AI recommended 8 alternatives but never named jakobdylanc/llmcord. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What tool allows connecting various large language models, including local ones, to Discord?
    you: not recommended
    AI recommended (in order):
    1. Botpress (botpress/botpress)
    2. LangChain (langchain-ai/langchain)
    3. LlamaIndex (run-llama/llama_index)
    4. OpenAI Assistants API
    5. Hugging Face Transformers (huggingface/transformers)
    6. Oobabooga's Text Generation WebUI (oobabooga/text-generation-webui)

    AI recommended 6 alternatives but never named jakobdylanc/llmcord. 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 jakobdylanc/llmcord?
    pass
    AI did not name jakobdylanc/llmcord — 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 jakobdylanc/llmcord in production, what risks or prerequisites should they evaluate first?
    pass
    AI named jakobdylanc/llmcord 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 jakobdylanc/llmcord solve, and who is the primary audience?
    pass
    AI named jakobdylanc/llmcord explicitly

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

Embed your GEO score

Drop this badge into the README of jakobdylanc/llmcord. It auto-updates whenever the report is rescanned and links back to the latest report — easy public proof that you care about AI discoverability.

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MARKDOWN (README)
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HTML
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jakobdylanc/llmcord — 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