RRepoGEO

REPOGEO REPORT · LITE

Ar9av/obsidian-wiki

Default branch main · commit 6f20faaa · scanned 5/24/2026, 5:46:48 PM

GitHub: 1,481 stars · 172 forks

AI VISIBILITY SCORE
22 /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
1 / 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 Ar9av/obsidian-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 README opening to clarify AI agent framework role

    Why:

    CURRENT
    A knowledge mgmt system inspired by gist published by Andrej Karpathy about maintaining a personal knowledge base with LLMs : the "LLM Wiki" pattern.
    COPY-PASTE FIX
    Ar9av/obsidian-wiki is an AI agent framework that enables LLMs to build and continuously maintain a personal knowledge wiki within Obsidian, inspired by Andrej Karpathy's 'LLM Wiki' pattern.
  • mediumabout#2
    Add homepage URL to repository metadata

    Why:

    COPY-PASTE FIX
    https://skills.sh/ar9av/obsidian-wiki
  • mediumreadme#3
    Add a 'What it's not' section to the README

    Why:

    COPY-PASTE FIX
    ### What Ar9av/obsidian-wiki is NOT
*   **Not a note-taking app:** It doesn't replace Obsidian, Logseq, or Notion. Instead, it's a framework that *uses* Obsidian as the interface for an AI-maintained knowledge base.
*   **Not a generic LLM framework:** While it leverages LLMs, it's not a general-purpose tool like LangChain or LlamaIndex. It's specifically designed for autonomous wiki maintenance within Obsidian.
*   **Not a static site generator:** This project is focused on AI agents *maintaining* your wiki, not publishing it to the web.

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 Ar9av/obsidian-wiki
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Obsidian
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. Obsidian · recommended 1×
  2. Logseq · recommended 1×
  3. Notion · recommended 1×
  4. Roam Research · recommended 1×
  5. TiddlyWiki · recommended 1×
  • CATEGORY QUERY
    How can an AI agent maintain a personal knowledge base effectively?
    you: not recommended
    AI recommended (in order):
    1. Obsidian
    2. Logseq
    3. Notion
    4. Roam Research
    5. TiddlyWiki
    6. Joplin
    7. Dendron

    AI recommended 7 alternatives but never named Ar9av/obsidian-wiki. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Framework for LLMs to build and continuously update a personal knowledge wiki.
    you: not recommended
    AI recommended (in order):
    1. LlamaIndex
    2. LangChain
    3. Haystack
    4. Rasa
    5. FlowiseAI
    6. Dust.tt

    AI recommended 6 alternatives but never named Ar9av/obsidian-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
    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 Ar9av/obsidian-wiki?
    pass
    AI named Ar9av/obsidian-wiki explicitly

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

  • If a team adopts Ar9av/obsidian-wiki in production, what risks or prerequisites should they evaluate first?
    pass
    AI did not name Ar9av/obsidian-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?

  • In one sentence, what problem does the repo Ar9av/obsidian-wiki solve, and who is the primary audience?
    pass
    AI did not name Ar9av/obsidian-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?

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  • Brand-free category queries5 vs 2 in Lite
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