RRepoGEO

REPOGEO REPORT · LITE

inkeep/open-knowledge

Default branch main · commit 329abeaf · scanned 7/1/2026, 1:41:56 AM

GitHub: 1,642 stars · 79 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 inkeep/open-knowledge, 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 emphasize AI-native LLM Wiki

    Why:

    CURRENT
    OpenKnowledge is a beautiful markdown editor with integrations with Claude, Codex, and other harnesses. For knowledge bases, LLM wikis, specs, and notes. Private, local, and free.
    COPY-PASTE FIX
    OpenKnowledge is a beautiful, AI-native markdown editor and LLM Wiki, designed for knowledge bases, specs, and notes. It offers deep integrations with Claude, Codex, and other LLM harnesses, providing a private, local, and free platform for collaborative AI-editing and agentic search.
  • mediumcomparison#2
    Add a 'Comparison with Alternatives' section to README

    Why:

    COPY-PASTE FIX
    ## Comparison with Alternatives

Unlike general-purpose markdown editors or note-taking apps like Obsidian, Notion, or Logseq, OpenKnowledge is built from the ground up as an AI-native platform. We focus on deep LLM integrations for collaborative AI-editing, agentic search, and structured knowledge management, rather than just being a text editor. Our WYSIWYG experience combined with out-of-the-box MCP, skills, and agentic search makes it uniquely suited for LLM Wikis and agent second brains.
  • lowtopics#3
    Add 'ai-native' and 'editor' to topics

    Why:

    CURRENT
    2nd-brain, agent-skills, claude, codex, docs, knowledge-base, knowledge-management, llm, llm-wiki, markdown, markdown-editor, md, mdx, notes, pkm, second-brain, skills
    COPY-PASTE FIX
    2nd-brain, agent-skills, ai-native, claude, codex, docs, editor, knowledge-base, knowledge-management, llm, llm-wiki, markdown, markdown-editor, md, mdx, notes, pkm, second-brain, skills

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 inkeep/open-knowledge
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. Smart Connections · recommended 1×
  5. Text Generator · recommended 1×
  • CATEGORY QUERY
    What's a good AI-powered markdown editor for building a personal knowledge base?
    you: not recommended
    AI recommended (in order):
    1. Obsidian
    2. Smart Connections
    3. Text Generator
    4. Obsidian Bionic Reading
    5. Mem.ai
    6. Notion AI
    7. Craft Docs
    8. Logseq

    AI recommended 8 alternatives but never named inkeep/open-knowledge. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Seeking an LLM-integrated markdown wiki for collaborative AI-assisted documentation and note-taking.
    you: not recommended
    AI recommended (in order):
    1. Notion AI
    2. Obsidian
    3. Confluence
    4. Joplin
    5. Logseq
    6. AnyType
    7. Nuclino

    AI recommended 7 alternatives but never named inkeep/open-knowledge. 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 inkeep/open-knowledge?
    pass
    AI did not name inkeep/open-knowledge — 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 inkeep/open-knowledge in production, what risks or prerequisites should they evaluate first?
    pass
    AI named inkeep/open-knowledge 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 inkeep/open-knowledge solve, and who is the primary audience?
    pass
    AI named inkeep/open-knowledge explicitly

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

Embed your GEO score

Drop this badge into the README of inkeep/open-knowledge. It auto-updates whenever the report is rescanned and links back to the latest report — easy public proof that you care about AI discoverability.

RepoGEO badge previewLive preview
MARKDOWN (README)
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HTML
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inkeep/open-knowledge — 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