RRepoGEO

REPOGEO REPORT · LITE

lumina-ai-inc/chunkr

Default branch main · commit 1bde59be · scanned 6/22/2026, 2:41:49 PM

GitHub: 2,950 stars · 182 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 lumina-ai-inc/chunkr, 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
    rag, llm, document-processing, ocr, layout-analysis, semantic-chunking, pdf-processing, data-preparation, vision-ai
  • highreadme#2
    Reposition the README H1 to explicitly state its RAG/LLM purpose

    Why:

    CURRENT
    <h3 align="center">Chunkr | Open Source Document Intelligence API</h3>
    COPY-PASTE FIX
    <h3 align="center">Chunkr | Open Source Document Intelligence API for RAG & LLM Data Preparation</h3>
  • mediumcomparison#3
    Add a 'Comparison to Alternatives' section in the README

    Why:

    COPY-PASTE FIX
    Add a new top-level heading to the README: ## Comparison to Alternatives (Unstructured, LlamaIndex, LangChain)

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 lumina-ai-inc/chunkr
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
LlamaIndex
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. LlamaIndex · recommended 1×
  2. LangChain · recommended 1×
  3. Unstructured · recommended 1×
  4. Apache Tika · recommended 1×
  5. Nougat · recommended 1×
  • CATEGORY QUERY
    How can I process various document types into LLM-ready chunks for RAG applications?
    you: not recommended
    AI recommended (in order):
    1. LlamaIndex
    2. LangChain
    3. Unstructured
    4. Apache Tika
    5. Nougat
    6. PyPDF2
    7. pdfminer.six
    8. pypdf
    9. Pandoc

    AI recommended 9 alternatives but never named lumina-ai-inc/chunkr. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What tools perform document layout analysis and OCR for converting PDFs into structured data?
    you: not recommended
    AI recommended (in order):
    1. Adobe Acrobat Pro DC
    2. Amazon Textract
    3. Google Cloud Document AI
    4. Azure AI Document Intelligence
    5. Tesseract OCR
    6. ABBYY FineReader PDF
    7. Rossum

    AI recommended 7 alternatives but never named lumina-ai-inc/chunkr. 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 lumina-ai-inc/chunkr?
    pass
    AI named lumina-ai-inc/chunkr explicitly

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

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

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

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lumina-ai-inc/chunkr — 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