RRepoGEO

REPOGEO REPORT · LITE

nlmatics/llmsherpa

Default branch main · commit 114298d0 · scanned 5/22/2026, 9:21:53 PM

GitHub: 1,750 stars · 165 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 nlmatics/llmsherpa, 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 the README's opening statement to highlight core differentiator

    Why:

    CURRENT
    LLM Sherpa provides strategic APIs to accelerate large language model (LLM) use cases.
    COPY-PASTE FIX
    LLM Sherpa provides intelligent, structure-aware parsing and semantic chunking of unstructured documents (especially PDFs) via strategic APIs, accelerating large language model (LLM) use cases like Retrieval Augmented Generation (RAG).
  • mediumreadme#2
    Clarify the relationship with nlm-ingestor in the README's introduction

    Why:

    COPY-PASTE FIX
    Consider adding a sentence near the top of the README, perhaps after the main value proposition, like: "This repository provides the client-side APIs; the core backend service is open-sourced as `nlmatics/nlm-ingestor`."

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 nlmatics/llmsherpa
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Amazon Textract
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. Amazon Textract · recommended 2×
  2. Google Cloud Document AI · recommended 2×
  3. LayoutParser/layoutparser · recommended 1×
  4. facebookresearch/nougat · recommended 1×
  5. Unstructured-IO/unstructured · recommended 1×
  • CATEGORY QUERY
    How to extract structured text from PDFs for RAG applications, preserving layout?
    you: not recommended
    AI recommended (in order):
    1. LayoutParser (LayoutParser/layoutparser)
    2. Nougat (facebookresearch/nougat)
    3. Unstructured.io (Unstructured-IO/unstructured)
    4. PDFplumber (jsvine/pdfplumber)
    5. Amazon Textract
    6. Google Cloud Document AI
    7. Adobe Acrobat Services API

    AI recommended 7 alternatives but never named nlmatics/llmsherpa. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    APIs for processing diverse document types to prepare data for large language models?
    you: not recommended
    AI recommended (in order):
    1. Unstructured.io (unstructured-io/unstructured)
    2. Azure AI Document Intelligence
    3. Google Cloud Document AI
    4. Amazon Textract
    5. Tesseract OCR (tesseract-ocr/tesseract)
    6. Apache Tika (apache/tika)

    AI recommended 6 alternatives but never named nlmatics/llmsherpa. 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 nlmatics/llmsherpa?
    pass
    AI named nlmatics/llmsherpa explicitly

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

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

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

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nlmatics/llmsherpa — 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