RRepoGEO

REPOGEO REPORT · LITE

nomnivore/ollama.nvim

Default branch main · commit 45e58779 · scanned 6/16/2026, 8:28:02 AM

GitHub: 564 stars · 34 forks

AI VISIBILITY SCORE
35 /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
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 nomnivore/ollama.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
  • hightopics#1
    Add specific topics to improve categorization

    Why:

    CURRENT
    (none)
    COPY-PASTE FIX
    neovim, ollama, llm, ai, plugin, lua, local-llm, editor-plugin
  • highreadme#2
    Strengthen README H1 and opening sentence for niche clarity

    Why:

    CURRENT
    # ollama.nvim
    
    A plugin for managing and integrating your ollama workflows in neovim.
    COPY-PASTE FIX
    # ollama.nvim: Neovim Plugin for Local LLMs via Ollama
    
    A powerful Neovim plugin designed for seamless management and integration of your local Large Language Models (LLMs) using Ollama, directly within your editor.
  • mediumhomepage#3
    Add a homepage URL

    Why:

    CURRENT
    (none)
    COPY-PASTE FIX
    https://github.com/nomnivore/ollama.nvim

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 nomnivore/ollama.nvim
Avg rank
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
continue-dev/continue
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. continue-dev/continue · recommended 1×
  2. ollama/ollama · recommended 1×
  3. CodeGPT · recommended 1×
  4. LM Studio · recommended 1×
  5. TabbyML/tabby · recommended 1×
  • CATEGORY QUERY
    How to integrate local large language models directly into my text editor workflow?
    you: not recommended
    AI recommended (in order):
    1. Continue.dev (continue-dev/continue)
    2. Ollama (ollama/ollama)
    3. CodeGPT
    4. LM Studio
    5. Tabby (TabbyML/tabby)
    6. Code Llama
    7. Hugging Face Transformers (huggingface/transformers)
    8. FastAPI (tiangolo/fastapi)
    9. Flask (pallets/flask)
    10. llm.el (emacs-llm/llm.el)
    11. llm.nvim (nvim-llm/llm.nvim)

    AI recommended 11 alternatives but never named nomnivore/ollama.nvim. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What are the best editor plugins for prompting LLMs using current buffer content?
    you: not recommended
    AI recommended (in order):
    1. Cursor
    2. Continue
    3. Codeium
    4. GitHub Copilot Chat
    5. Tabnine Chat
    6. ChatGPT for VS Code
    7. AI Code Assistant

    AI recommended 7 alternatives but never named nomnivore/ollama.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 nomnivore/ollama.nvim?
    pass
    AI named nomnivore/ollama.nvim explicitly

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

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

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

RepoGEO badge previewLive preview
MARKDOWN (README)
[![RepoGEO](https://repogeo.com/badge/nomnivore/ollama.nvim.svg)](https://repogeo.com/en/r/nomnivore/ollama.nvim)
HTML
<a href="https://repogeo.com/en/r/nomnivore/ollama.nvim"><img src="https://repogeo.com/badge/nomnivore/ollama.nvim.svg" alt="RepoGEO" /></a>
Pro

Subscribe to Pro for deep diagnoses

nomnivore/ollama.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
nomnivore/ollama.nvim — RepoGEO report