REPOGEO REPORT · LITE
yacineMTB/dingllm.nvim
Default branch master · commit ecfe8c6b · scanned 6/10/2026, 5:08:16 PM
GitHub: 857 stars · 83 forks
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.
2 ready scans. Expand the table below for newest-first rows (10 per page, paginated).
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 yacineMTB/dingllm.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.
- hightopics#1Add relevant topics to the repository
Why:
COPY-PASTE FIXneovim, nvim, llm, ai, editor, plugin, lua
- highreadme#2Strengthen the README's opening statement for AI categorization
Why:
CURRENT### dingllm.nvim Yacine's no frills LLM nvim scripts. free yourself, brothers and sisters
COPY-PASTE FIX### dingllm.nvim A lightweight, no-frills Neovim plugin for integrating Large Language Models (LLMs) directly into your editor, designed for fast, deadlock-free code and text manipulation.
- mediumhomepage#3Add a homepage URL to the repository metadata
Why:
COPY-PASTE FIXhttps://github.com/yacineMTB/dingllm.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.
- github/copilot.vim · recommended 2×
- hrsh7th/nvim-cmp · recommended 2×
- neovim/nvim-lspconfig · recommended 2×
- nvim-cmp/cmp-copilot · recommended 1×
- Code Llama · recommended 1×
- CATEGORY QUERYHow to integrate large language models into Neovim for coding assistance?you: not recommendedAI recommended (in order):
- Copilot.vim (github/copilot.vim)
- nvim-cmp (hrsh7th/nvim-cmp)
- cmp-copilot (nvim-cmp/cmp-copilot)
- nvim-lspconfig (neovim/nvim-lspconfig)
- Code Llama
- Phind-CodeLlama
- CodeGPT.nvim (dpayne/CodeGPT.nvim)
- OLLAMA (ollama/ollama)
- LLM.nvim (huggingface/llm.nvim)
- nvim-gpt (rob-bar/nvim-gpt)
AI recommended 10 alternatives but never named yacineMTB/dingllm.nvim. This is the gap to close.
Show full AI answer
- CATEGORY QUERYNeovim extension for LLM interaction that avoids editor freezes or deadlocks.you: not recommendedAI recommended (in order):
- copilot.vim (github/copilot.vim)
- nvim-cmp (hrsh7th/nvim-cmp)
- nvim-lspconfig (neovim/nvim-lspconfig)
- llm.nvim (gsuuon/llm.nvim)
- ChatGPT.nvim (jackMort/ChatGPT.nvim)
- vim-llm (Robitx/vim-llm)
AI recommended 6 alternatives but never named yacineMTB/dingllm.nvim. This is the gap to close.
Show full AI answer
Objective checks
Rule-based audits of metadata signals AI engines weight most.
- Metadata completenesswarn
Suggestion:
- README presencepass
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 yacineMTB/dingllm.nvim?passAI named yacineMTB/dingllm.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 yacineMTB/dingllm.nvim in production, what risks or prerequisites should they evaluate first?passAI named yacineMTB/dingllm.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 yacineMTB/dingllm.nvim solve, and who is the primary audience?passAI named yacineMTB/dingllm.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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yacineMTB/dingllm.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