RRepoGEO

REPOGEO REPORT · LITE

jerryjliu/liteparse_samples

Default branch main · commit 6f3159d3 · scanned 6/4/2026, 4:08:01 PM

GitHub: 513 stars · 51 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 jerryjliu/liteparse_samples, 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
  • hightopics#1
    Add relevant topics to the repository

    Why:

    COPY-PASTE FIX
    document-parsing, pdf-extraction, llm-tools, structured-data, visual-citations, llama-index, samples, demos
  • highlicense#2
    Add a LICENSE file to the repository

    Why:

    COPY-PASTE FIX
    Create a LICENSE file in the repository root with the text of the MIT License.
  • mediumreadme#3
    Reposition the README's opening to highlight advanced parsing for LLM workflows

    Why:

    CURRENT
    # LiteParse Samples

Interactive demos showcasing LiteParse — a fast, local, model-free document parser by LlamaIndex.
    COPY-PASTE FIX
    # LiteParse Samples: Advanced Document Parsing for LLM Workflows

Interactive demos showcasing LiteParse — a fast, local, model-free document parser by LlamaIndex, designed for structured data extraction and visual citations in AI applications.

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 jerryjliu/liteparse_samples
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Poppler
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. Poppler · recommended 2×
  2. pypdf/pypdf · recommended 1×
  3. pdfminer/pdfminer.six · recommended 1×
  4. tesseract-ocr/tesseract · recommended 1×
  5. apache/pdfbox · recommended 1×
  • CATEGORY QUERY
    What are good options for quickly extracting text from PDFs and comparing their performance?
    you: not recommended
    AI recommended (in order):
    1. PyPDF2 (pypdf/pypdf)
    2. pdfminer.six (pdfminer/pdfminer.six)
    3. Poppler
    4. Tesseract OCR (tesseract-ocr/tesseract)
    5. Apache PDFBox (apache/pdfbox)
    6. Adobe Acrobat SDK / API

    AI recommended 6 alternatives but never named jerryjliu/liteparse_samples. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    How can I highlight search results directly on PDF pages with bounding boxes?
    you: not recommended
    AI recommended (in order):
    1. PDF.js
    2. Apache PDFBox
    3. Poppler
    4. python-poppler
    5. pdfminer.six
    6. ReportLab
    7. PSPDFKit
    8. Foxit PDF SDK
    9. iText
    10. iTextSharp

    AI recommended 10 alternatives but never named jerryjliu/liteparse_samples. 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 jerryjliu/liteparse_samples?
    pass
    AI named jerryjliu/liteparse_samples explicitly

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

  • If a team adopts jerryjliu/liteparse_samples in production, what risks or prerequisites should they evaluate first?
    pass
    AI named jerryjliu/liteparse_samples 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 jerryjliu/liteparse_samples solve, and who is the primary audience?
    pass
    AI did not name jerryjliu/liteparse_samples — 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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jerryjliu/liteparse_samples — 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