RRepoGEO

REPOGEO REPORT · LITE

codedogQBY/ReadAny

Default branch main · commit bd98bd75 · scanned 5/23/2026, 10:27:02 PM

GitHub: 1,392 stars · 101 forks

Scan history for this repo

Score trend below includes all ready runs (older left, newer right; scroll horizontally if needed). The table is collapsed by default—expand for newest-first rows, 10 per page.

Score trend (left → right: older → newer)

2 ready scans. Expand the table below for newest-first rows (10 per page, paginated).

AI VISIBILITY SCORE
35 /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
3 / 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 codedogQBY/ReadAny, 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

2 prioritized changes generated by gemini-2.5-flash. Mark items done after you ship the fix.

OVERALL DIRECTION
  • highabout#1
    Add a clear, concise 'About' description

    Why:

    COPY-PASTE FIX
    An AI-powered e-book reader and knowledge management tool with semantic search, intelligent chat, and unified note-taking for better comprehension.
  • mediumreadme#2
    Clarify the project's license in the README

    Why:

    COPY-PASTE FIX
    This project is licensed under [Specify License Name(s) here, e.g., 'a custom license combining MIT and Apache-2.0 principles']. See the [LICENSE](LICENSE) file for full details.

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 codedogQBY/ReadAny
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. Readwise Reader · recommended 1×
  3. Kindle Scribe · recommended 1×
  4. Kobo eReaders · recommended 1×
  5. Boox eReaders · recommended 1×
  • CATEGORY QUERY
    What AI-powered e-readers offer semantic search and intelligent chat for better comprehension?
    you: not recommended
    AI recommended (in order):
    1. Readwise Reader
    2. Kindle Scribe
    3. Kobo eReaders
    4. Boox eReaders
    5. Hypothesis
    6. ChatGPT
    7. Claude
    8. Obsidian

    AI recommended 8 alternatives but never named codedogQBY/ReadAny. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    How can I unify scattered notes and semantically search my e-book knowledge base?
    you: not recommended
    AI recommended (in order):
    1. Obsidian
    2. Logseq (logseq/logseq)
    3. Mem.ai
    4. Roam Research
    5. Notion
    6. Zotero (zotero/zotero)
    7. DEVONthink

    AI recommended 7 alternatives but never named codedogQBY/ReadAny. 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 codedogQBY/ReadAny?
    pass
    AI named codedogQBY/ReadAny explicitly

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

  • If a team adopts codedogQBY/ReadAny in production, what risks or prerequisites should they evaluate first?
    pass
    AI named codedogQBY/ReadAny 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 codedogQBY/ReadAny solve, and who is the primary audience?
    pass
    AI named codedogQBY/ReadAny explicitly

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

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codedogQBY/ReadAny — 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
codedogQBY/ReadAny — RepoGEO report