RRepoGEO

REPOGEO REPORT · LITE

nvk/llm-wiki

Default branch master · commit 7e9bd0ad · scanned 6/5/2026, 9:51:55 AM

GitHub: 527 stars · 66 forks

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 nvk/llm-wiki, 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's opening paragraph to highlight unique differentiators

    Why:

    CURRENT
    LLM-compiled knowledge bases for any AI agent. Parallel multi-agent research, collector catalogs, thesis-driven investigation, source ingestion, wiki compilation, truth-seeking audits, querying, and artifact generation. Ships as a Claude Code plugin, an OpenAI Codex plugin, an OpenCode instruction file, or a portable AGENTS.md for any other LLM agent. Obsidian-compatible.
    COPY-PASTE FIX
    nvk/llm-wiki is a unique framework for building **LLM-compiled knowledge bases** and performing **parallel multi-agent research**. Unlike general LLM frameworks or simple RAG systems, it focuses on **thesis-driven investigation**, **wiki compilation**, and **truth-seeking audits** to generate structured, high-quality artifacts. It ships as a Claude Code plugin, an OpenAI Codex plugin, an OpenCode instruction file, or a portable AGENTS.md for any other LLM agent, with Obsidian compatibility.
  • hightopics#2
    Expand repository topics with more specific keywords

    Why:

    CURRENT
    agentic-ai, agentic-skills, agentic-workflow, claude-code, codex, llm, plugin, wiki
    COPY-PASTE FIX
    agentic-ai, agentic-skills, agentic-workflow, claude-code, codex, llm, plugin, wiki, knowledge-base, knowledge-graph, multi-agent-system, research-tool, thesis-driven, structured-data, truth-seeking
  • mediumreadme#3
    Add a dedicated section to the README comparing nvk/llm-wiki to alternatives

    Why:

    COPY-PASTE FIX
    Add a new section to the README, e.g., '## How nvk/llm-wiki Compares', that explicitly contrasts its approach to LLM-compiled knowledge bases and multi-agent research with general RAG systems, LLM orchestration frameworks (like LangChain/LlamaIndex), and traditional note-taking/wiki tools (like Obsidian), emphasizing its unique focus on structured, thesis-driven investigation.

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 nvk/llm-wiki
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
LangChain
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. LangChain · recommended 1×
  2. LlamaIndex · recommended 1×
  3. Apache NiFi · recommended 1×
  4. Ontotext GraphDB · recommended 1×
  5. Neo4j · recommended 1×
  • CATEGORY QUERY
    What tools help AI agents compile knowledge bases from diverse sources for research?
    you: not recommended
    AI recommended (in order):
    1. LangChain
    2. LlamaIndex
    3. Apache NiFi
    4. Ontotext GraphDB
    5. Neo4j
    6. Elasticsearch
    7. Google Cloud Knowledge Graph
    8. Amazon Neptune

    AI recommended 8 alternatives but never named nvk/llm-wiki. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Seeking a framework to generate structured wikis and perform thesis-driven investigations using large language models.
    you: not recommended
    AI recommended (in order):
    1. Obsidian
    2. Dataview
    3. Smart Connections
    4. Text Generator
    5. OpenAI
    6. Anthropic
    7. Ollama
    8. Notion
    9. Notion AI
    10. Logseq
    11. Logseq GPT3 OpenAI
    12. Logseq AI Assistant
    13. TiddlyWiki
    14. DocuWiki
    15. Joplin
    16. Joplin AI Assistant

    AI recommended 16 alternatives but never named nvk/llm-wiki. 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 nvk/llm-wiki?
    pass
    AI did not name nvk/llm-wiki — 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 nvk/llm-wiki in production, what risks or prerequisites should they evaluate first?
    pass
    AI named nvk/llm-wiki 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 nvk/llm-wiki solve, and who is the primary audience?
    pass
    AI named nvk/llm-wiki explicitly

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

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  • Brand-free category queries5 vs 2 in Lite
  • Prioritized action items8 vs 3 in Lite