RRepoGEO

REPOGEO REPORT · LITE

SamurAIGPT/llm-wiki-agent

Default branch main · commit 82b80782 · scanned 5/10/2026, 4:07:53 AM

GitHub: 2,545 stars · 294 forks

AI VISIBILITY SCORE
28 /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
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 SamurAIGPT/llm-wiki-agent, 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 README H1/opening paragraph to clarify purpose and source scope

    Why:

    CURRENT
    # LLM Wiki Agent

**A coding agent skill.** Drop source documents into `raw/` and tell the agent to ingest them — it reads them, extracts knowledge, and builds a persistent interlinked wiki. Every new source makes the wiki richer. You never write it.
    COPY-PASTE FIX
    # LLM Wiki Agent

**Your personal knowledge base, built and maintained by an LLM agent from *your own documents*.** Drop source documents into `raw/` and tell the agent to ingest them — it reads them, extracts knowledge, and builds a persistent interlinked wiki. Every new source makes the wiki richer. You never write it.
  • mediumabout#2
    Add a homepage URL to the About section

    Why:

    COPY-PASTE FIX
    https://github.com/SamurAIGPT/llm-wiki-agent
  • mediumcomparison#3
    Add a 'Comparison to X' section in the README

    Why:

    COPY-PASTE FIX
    ## Comparison to Obsidian, Notion AI, and Logseq

Unlike traditional note-taking apps where you manually search and link your notes, LLM Wiki Agent autonomously reads *all* your collected documents, extracts knowledge, and builds a structured, interlinked wiki. It proactively cross-references, flags contradictions, and synthesizes information, so your knowledge compounds without manual effort.

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 SamurAIGPT/llm-wiki-agent
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Obsidian
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. Obsidian · recommended 2×
  2. Notion AI · recommended 2×
  3. Logseq · recommended 2×
  4. Mem · recommended 1×
  5. Smart Connections · recommended 1×
  • CATEGORY QUERY
    How to automatically build a personal knowledge base from various source documents using AI?
    you: not recommended
    AI recommended (in order):
    1. Mem
    2. Obsidian
    3. Smart Connections
    4. Text Generator
    5. Notion AI
    6. Logseq
    7. LangChain
    8. LlamaIndex
    9. Pinecone
    10. Chroma
    11. Weaviate
    12. OpenAI API
    13. Anthropic API
    14. Microsoft Copilot
    15. Microsoft 365

    AI recommended 15 alternatives but never named SamurAIGPT/llm-wiki-agent. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Seeking a tool that uses LLMs to synthesize knowledge and maintain an interlinked wiki.
    you: not recommended
    AI recommended (in order):
    1. Memri
    2. Obsidian
    3. Notion AI
    4. Logseq
    5. TiddlyWiki

    AI recommended 5 alternatives but never named SamurAIGPT/llm-wiki-agent. 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 SamurAIGPT/llm-wiki-agent?
    pass
    AI did not name SamurAIGPT/llm-wiki-agent — 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 SamurAIGPT/llm-wiki-agent in production, what risks or prerequisites should they evaluate first?
    pass
    AI named SamurAIGPT/llm-wiki-agent 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 SamurAIGPT/llm-wiki-agent solve, and who is the primary audience?
    pass
    AI named SamurAIGPT/llm-wiki-agent explicitly

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

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SamurAIGPT/llm-wiki-agent — 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