RRepoGEO

REPOGEO REPORT · LITE

iyaja/llama-fs

Default branch main · commit 0a693717 · scanned 5/11/2026, 10:37:43 AM

GitHub: 5,727 stars · 377 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 iyaja/llama-fs, 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 clearly state core function

    Why:

    CURRENT
    # LlamaFS
    COPY-PASTE FIX
    # LlamaFS: An AI-powered self-organizing file manager
  • hightopics#2
    Add relevant topics to the repository

    Why:

    CURRENT
    (none)
    COPY-PASTE FIX
    file-manager, file-organizer, ai, llm, automation, productivity, python
  • mediumcomparison#3
    Add a comparison section to the README

    Why:

    COPY-PASTE FIX
    ## Comparison with Traditional File Organizers

Unlike rule-based tools such as Hazel, File Juggler, or Advanced Renamer, LlamaFS leverages advanced AI models (Llama 3, Moondream, Whisper) to understand file content and context. This enables truly intelligent, self-organizing capabilities beyond simple automation, offering both batch processing and an interactive watch mode for proactive learning and organization.

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 iyaja/llama-fs
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Hazel
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. Hazel · recommended 2×
  2. File Juggler · recommended 2×
  3. DropIt · recommended 2×
  4. TagSpaces · recommended 1×
  5. Advanced Renamer · recommended 1×
  • CATEGORY QUERY
    How can I use AI to automatically organize and rename my cluttered files?
    you: not recommended
    AI recommended (in order):
    1. TagSpaces
    2. Hazel
    3. File Juggler
    4. Advanced Renamer
    5. DropIt
    6. Google Photos
    7. Apple Photos
    8. Adobe Lightroom Classic
    9. os
    10. shutil
    11. python-magic
    12. spaCy
    13. NLTK
    14. scikit-learn

    AI recommended 14 alternatives but never named iyaja/llama-fs. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Looking for a tool to automatically sort and rename new files in watched directories.
    you: not recommended
    AI recommended (in order):
    1. Hazel
    2. File Juggler
    3. DropIt
    4. Folder Actions
    5. Watch 4 Ideal
    6. Microsoft Power Automate Desktop
    7. Python with `watchdog` and `shutil`

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

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

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iyaja/llama-fs — 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