RRepoGEO

REPOGEO REPORT · LITE

atomicstrata/llm-wiki-compiler

Default branch main · commit 71cc67ee · scanned 5/25/2026, 3:57:28 PM

GitHub: 1,293 stars · 130 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 atomicstrata/llm-wiki-compiler, 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 to emphasize LLM compilation

    Why:

    CURRENT
    # llmwiki

Compile raw sources into an interlinked markdown wiki.
    COPY-PASTE FIX
    # llmwiki: LLM Knowledge Compiler

Compile raw sources into an interlinked markdown wiki, specifically optimized for use as context by Large Language Models (LLMs).
  • mediumhomepage#2
    Add a homepage URL to the repository metadata

    Why:

    CURRENT
    (none)
    COPY-PASTE FIX
    https://github.com/atomicstrata/llm-wiki-compiler
  • lowtopics#3
    Refine repository topics for better categorization

    Why:

    CURRENT
    cli, compiler, context-engineering, karpathy, knowledge-base, knowledge-compilation, llm, markdown, obsidian, wiki
    COPY-PASTE FIX
    cli, compiler, context-engineering, karpathy, knowledge-base, knowledge-compilation, llm, markdown, rag, llm-context, knowledge-graph, wiki

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 atomicstrata/llm-wiki-compiler
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. logseq/logseq · recommended 2×
  3. Roam Research · recommended 1×
  4. Notion · recommended 1×
  5. TiddlyWiki/TiddlyWiki5 · recommended 1×
  • CATEGORY QUERY
    How to compile scattered research notes into an interlinked, browsable knowledge base?
    you: not recommended
    AI recommended (in order):
    1. Obsidian
    2. Logseq (logseq/logseq)
    3. Roam Research
    4. Notion
    5. TiddlyWiki (TiddlyWiki/TiddlyWiki5)
    6. Joplin (laurent22/joplin)

    AI recommended 6 alternatives but never named atomicstrata/llm-wiki-compiler. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Tool to generate an interconnected markdown wiki from various unstructured documents using AI?
    you: not recommended
    AI recommended (in order):
    1. Obsidian
    2. Smart Connections (mnaoumov/obsidian-smart-connections)
    3. Text Generator Plugin (nhaouari/obsidian-text-generator-plugin)
    4. Mem.ai
    5. Logseq (logseq/logseq)
    6. Logseq AI Assistant (b-z/logseq-ai-assistant)
    7. Notion AI
    8. Affinity Designer
    9. ChatGPT
    10. Claude

    AI recommended 10 alternatives but never named atomicstrata/llm-wiki-compiler. 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 atomicstrata/llm-wiki-compiler?
    pass
    AI did not name atomicstrata/llm-wiki-compiler — 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 atomicstrata/llm-wiki-compiler in production, what risks or prerequisites should they evaluate first?
    pass
    AI named atomicstrata/llm-wiki-compiler 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 atomicstrata/llm-wiki-compiler solve, and who is the primary audience?
    pass
    AI named atomicstrata/llm-wiki-compiler 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 atomicstrata/llm-wiki-compiler. It auto-updates whenever the report is rescanned and links back to the latest report — easy public proof that you care about AI discoverability.

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MARKDOWN (README)
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HTML
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