RRepoGEO

REPOGEO REPORT · LITE

huggingface/llm.nvim

Default branch main · commit fdc07581 · scanned 5/13/2026, 11:23:20 AM

GitHub: 1,162 stars · 61 forks

AI VISIBILITY SCORE
47 /100
Critical
Category recall
1 / 2
Avg rank #6.0 when recommended
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 huggingface/llm.nvim, 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
    Emphasize customizability and backend choice in README intro

    Why:

    CURRENT
    **llm.nvim** is a plugin for all things LLM. It uses **llm-ls** as a backend.
    COPY-PASTE FIX
    **llm.nvim** is a powerful Neovim plugin for all things LLM, offering highly customizable AI code completion and suggestions. It uniquely allows you to choose your own LLM backend, from the Hugging Face Inference API to any compatible HTTP endpoint, powered by **llm-ls**.
  • mediumhomepage#2
    Add a homepage URL to the repository metadata

    Why:

    COPY-PASTE FIX
    https://github.com/huggingface/llm.nvim
  • lowtopics#3
    Add more specific LLM-related topics

    Why:

    CURRENT
    lua, neovim, neovim-plugin
    COPY-PASTE FIX
    lua, neovim, neovim-plugin, llm, code-completion, ai-assistant

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
1 / 2
50% of queries surface huggingface/llm.nvim
Avg rank
#6.0
Lower is better. #1 = top recommendation.
Share of voice
6%
Of all named tools, what % are you?
Top rival
GitHub Copilot
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. GitHub Copilot · recommended 1×
  2. TabNine · recommended 1×
  3. Codeium · recommended 1×
  4. Cursor · recommended 1×
  5. jmbuhr/ollama.nvim · recommended 1×
  • CATEGORY QUERY
    How can I get AI-powered code completion directly within my Neovim editor?
    you: #6
    AI recommended (in order):
    1. GitHub Copilot
    2. TabNine
    3. Codeium
    4. Cursor
    5. ollama.nvim (jmbuhr/ollama.nvim)
    6. llm.nvim (huggingface/llm.nvim) ← you
    7. Code Llama
    8. Phind-CodeLlama
    9. DeepSeek Coder
    Show full AI answer
  • CATEGORY QUERY
    Looking for a Neovim plugin that offers customizable AI code suggestions, not just Copilot.
    you: not recommended
    AI recommended (in order):
    1. Codeium.nvim
    2. Tabnine
    3. nvim-cmp
    4. cmp-llm
    5. OpenAI's GPT models
    6. cmp-tabnine
    7. copilot.vim
    8. YouCompleteMe (YCM)
    9. CoC.nvim

    AI recommended 9 alternatives but never named huggingface/llm.nvim. 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 huggingface/llm.nvim?
    pass
    AI did not name huggingface/llm.nvim — 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 huggingface/llm.nvim in production, what risks or prerequisites should they evaluate first?
    pass
    AI named huggingface/llm.nvim 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 huggingface/llm.nvim solve, and who is the primary audience?
    pass
    AI named huggingface/llm.nvim explicitly

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

Embed your GEO score

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MARKDOWN (README)
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huggingface/llm.nvim — 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