RRepoGEO

REPOGEO REPORT · LITE

kanishka-linux/reminiscence

Default branch master · commit bd52d164 · scanned 5/31/2026, 1:46:53 PM

GitHub: 1,843 stars · 84 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 kanishka-linux/reminiscence, 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's opening statement to clarify project identity

    Why:

    CURRENT
    # Reminiscence
    
    Self-hosted Bookmark and Archive manager
    COPY-PASTE FIX
    # Reminiscence
    
    Reminiscence is a powerful, self-hosted **web application** for managing your personal bookmarks and archiving web content. It provides a comprehensive solution to save articles, annotate, and preserve web pages on your own server, similar to tools like Wallabag or ArchiveBox.
  • mediumhomepage#2
    Add a Homepage URL to the repository's About section

    Why:

    COPY-PASTE FIX
    [Your project's official homepage URL, e.g., a documentation site or demo]
  • lowreadme#3
    Expand README's 'Motivation' section with category-specific benefits

    Why:

    COPY-PASTE FIX
    Add a paragraph or two to the 'Motivation' section explaining the common problems Reminiscence solves for users seeking to self-host their web archives, such as data ownership, privacy, and long-term content preservation, explicitly using keywords like 'self-hosted web archiving,' 'digital library,' or 'personal knowledge base.'

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 kanishka-linux/reminiscence
Avg rank
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
ArchiveBox
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. ArchiveBox · recommended 2×
  2. Wallabag · recommended 2×
  3. Shaarli · recommended 2×
  4. HTTrack Website Copier · recommended 1×
  5. Wget · recommended 1×
  • CATEGORY QUERY
    What open-source tools help manage and archive web pages on my own server?
    you: not recommended
    AI recommended (in order):
    1. ArchiveBox
    2. HTTrack Website Copier
    3. Wget
    4. Wallabag
    5. Shaarli
    6. Memex (by WorldBrain.io)
    7. SingleFile

    AI recommended 7 alternatives but never named kanishka-linux/reminiscence. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Seeking a self-hosted solution to save articles, annotate, and archive web content.
    you: not recommended
    AI recommended (in order):
    1. Wallabag
    2. Paperless-ngx
    3. Shaarli
    4. Nextcloud
    5. ArchiveBox

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

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

Embed your GEO score

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MARKDOWN (README)
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  • Brand-free category queries5 vs 2 in Lite
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