RRepoGEO

REPOGEO REPORT · LITE

olimorris/codecompanion.nvim

Default branch main · commit b1cbe52e · scanned 5/23/2026, 3:42:00 AM

GitHub: 6,606 stars · 413 forks

Scan history for this repo

Score trend below includes all ready runs (older left, newer right; scroll horizontally if needed). The table is collapsed by default—expand for newest-first rows, 10 per page.

Score trend (left → right: older → newer)

2 ready scans. Expand the table below for newest-first rows (10 per page, paginated).

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 olimorris/codecompanion.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
    Strengthen README's opening statement for clearer category identification

    Why:

    CURRENT
    <p align="center">A Neovim AI coding assistant for coding with LLMs (Anthropic, OpenAI, Gemini, Copilot and <a href="https://codecompanion.olimorris.dev/getting-started.html">more</a>) and AI agents. With built-in support for <a href="https://agentclientprotocol.com">Agent Client Protocol (ACP)</a>, <a href="https://codecompanion.olimorris.dev/model-context-protocol">Model Context Protocol (MCP)</a>, and agents like <a href="https://docs.anthropic.com/en/docs/claude-code/overview">Claude Code</a> and <a href="https://openai.com/codex">Codex</a></p>
    COPY-PASTE FIX
    CodeCompanion.nvim is a powerful, provider-agnostic Neovim plugin that integrates various Large Language Models (LLMs) and AI agents directly into your editor for enhanced coding assistance.
  • mediumreadme#2
    Add a dedicated 'Why CodeCompanion?' or 'Comparison' section to README

    Why:

    COPY-PASTE FIX
    ## Why CodeCompanion.nvim?

Unlike single-provider solutions, CodeCompanion.nvim offers a unique, provider-agnostic approach, allowing seamless integration with a wide range of LLMs (OpenAI, Anthropic, Gemini, Ollama, DeepSeek, and more) and AI agents. It stands out with deep context awareness, built-in support for Agent Client Protocol (ACP) and Model Context Protocol (MCP), and a focus on a truly Vim-native AI coding experience.
  • lowtopics#3
    Expand topics to include more functional AI assistant terms

    Why:

    CURRENT
    acp, agent, agent-client-protocol, anthropic, claude-code, copilot, deepseek, gemini, google-gemini, llm, neovim, nvim, ollama, openai, plugin
    COPY-PASTE FIX
    acp, agent, agent-client-protocol, ai-assistant, anthropic, claude-code, code-generation, copilot, deepseek, gemini, google-gemini, llm, neovim, nvim, ollama, openai, plugin

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 olimorris/codecompanion.nvim
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Copilot.vim
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. Copilot.vim · recommended 1×
  2. nvim-cmp · recommended 1×
  3. Codeium.nvim · recommended 1×
  4. Tabnine · recommended 1×
  5. ChatGPT.nvim · recommended 1×
  • CATEGORY QUERY
    What are good AI coding assistant plugins for enhancing productivity in a Neovim environment?
    you: not recommended
    AI recommended (in order):
    1. Copilot.vim
    2. nvim-cmp
    3. Codeium.nvim
    4. Tabnine
    5. ChatGPT.nvim
    6. nvim-gpt

    AI recommended 6 alternatives but never named olimorris/codecompanion.nvim. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    How can I integrate various large language models and AI agents directly into my Neovim editor?
    you: not recommended
    AI recommended (in order):
    1. nvim-cmp (hrsh7th/nvim-cmp)
    2. OpenAI's GPT-3/4
    3. Anthropic's Claude
    4. Google's Gemini
    5. ollama (ollama/ollama)
    6. Copilot.vim (github/copilot.vim)
    7. GitHub Copilot
    8. ChatGPT.nvim (jackMort/ChatGPT.nvim)
    9. OpenAI's ChatGPT API
    10. ollama.nvim (jmbuhr/ollama.nvim)
    11. vim-llm (RobitHouse/vim-llm)
    12. Neogen (danymat/neogen)
    13. OpenAI

    AI recommended 13 alternatives but never named olimorris/codecompanion.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
    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 olimorris/codecompanion.nvim?
    pass
    AI did not name olimorris/codecompanion.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 olimorris/codecompanion.nvim in production, what risks or prerequisites should they evaluate first?
    pass
    AI named olimorris/codecompanion.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 olimorris/codecompanion.nvim solve, and who is the primary audience?
    pass
    AI named olimorris/codecompanion.nvim explicitly

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

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olimorris/codecompanion.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