RRepoGEO

REPOGEO REPORT · LITE

echohive42/AI-reads-books-page-by-page

Default branch main · commit 1b68f195 · scanned 5/15/2026, 2:42:58 PM

GitHub: 2,121 stars · 211 forks

AI VISIBILITY SCORE
22 /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
1 / 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 echohive42/AI-reads-books-page-by-page, 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
  • highreadme#1
    Reposition README H1 and first paragraph to highlight programmatic, deep extraction

    Why:

    CURRENT
    # 📚 AI reads books: Page-by-Page PDF Knowledge Extractor & Summarizer

The `read_books.py` script performs an intelligent page-by-page analysis of PDF books, methodically extracting knowledge points and generating progressive summaries at specified intervals.
    COPY-PASTE FIX
    # 📚 AI reads books: Page-by-Page PDF Knowledge Extractor & Summarizer for Programmatic Deep Analysis

The `read_books.py` script offers a unique programmatic approach to intelligent page-by-page analysis of PDF books, methodically extracting structured knowledge points and generating progressive summaries. Unlike general chat-based summarizers, this tool focuses on detailed content understanding and persistent knowledge base storage, making it ideal for researchers and developers building advanced document processing workflows.
  • mediumreadme#2
    Add a 'Comparison' or 'Why This Tool?' section to the README

    Why:

    COPY-PASTE FIX
    ## 💡 Why `AI-reads-books-page-by-page`?

Unlike general-purpose PDF chat tools or simple summarizers, this script provides a programmatic, page-by-page extraction pipeline for deep knowledge base creation. It's designed for developers and researchers who need to systematically extract structured knowledge, maintain contextual flow, and build upon a persistent knowledge base, rather than just getting quick, interactive summaries.

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 echohive42/AI-reads-books-page-by-page
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Humata AI
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. Humata AI · recommended 2×
  2. ChatPDF · recommended 2×
  3. ChatGPT Plus · recommended 1×
  4. Claude 3 Opus/Sonnet · recommended 1×
  5. LlamaIndex · recommended 1×
  • CATEGORY QUERY
    How to automatically extract key knowledge points and summarize large PDF documents using AI?
    you: not recommended
    AI recommended (in order):
    1. ChatGPT Plus
    2. Claude 3 Opus/Sonnet
    3. Humata AI
    4. ChatPDF
    5. LlamaIndex
    6. LangChain
    7. Adobe Acrobat Pro

    AI recommended 7 alternatives but never named echohive42/AI-reads-books-page-by-page. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What tools perform AI-driven page-by-page analysis of PDF books for progressive summarization?
    you: not recommended
    AI recommended (in order):
    1. ChatPDF
    2. AskYourPDF
    3. PDF.ai
    4. Humata AI
    5. LightPDF
    6. PyPDF2
    7. pdfminer.six
    8. Apache PDFBox
    9. OpenAI GPT-4
    10. GPT-3.5 Turbo
    11. Anthropic Claude 3
    12. Google Gemini Pro
    13. QuillBot
    14. Scribbr Summarizer
    15. TLDR This

    AI recommended 15 alternatives but never named echohive42/AI-reads-books-page-by-page. 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 echohive42/AI-reads-books-page-by-page?
    pass
    AI did not name echohive42/AI-reads-books-page-by-page — 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 echohive42/AI-reads-books-page-by-page in production, what risks or prerequisites should they evaluate first?
    pass
    AI named echohive42/AI-reads-books-page-by-page 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 echohive42/AI-reads-books-page-by-page solve, and who is the primary audience?
    pass
    AI did not name echohive42/AI-reads-books-page-by-page — 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?

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  • Brand-free category queries5 vs 2 in Lite
  • Prioritized action items8 vs 3 in Lite