RRepoGEO

REPOGEO REPORT · LITE

ngafar/llama-scan

Default branch main · commit 222b135c · scanned 6/6/2026, 12:42:51 AM

GitHub: 817 stars · 58 forks

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 ngafar/llama-scan, 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
  • highreadme#1
    Reposition the README H1 to specify category and value

    Why:

    CURRENT
    # llama-scan

A tool for converting PDFs to text files using Ollama.
    COPY-PASTE FIX
    # llama-scan

**llama-scan is a powerful, local-first tool for transcribing and extracting detailed text from PDFs, including images and diagrams, using your own private LLMs via Ollama.**
  • hightopics#2
    Add relevant topics to the repository

    Why:

    COPY-PASTE FIX
    pdf-transcription, llm, ollama, local-llm, pdf-parser, document-ai, ocr, python, multimodal-llm, text-extraction
  • mediumhomepage#3
    Add a homepage URL to the repository metadata

    Why:

    COPY-PASTE FIX
    https://github.com/ngafar/llama-scan

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 ngafar/llama-scan
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
run-llama/llama_index
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. run-llama/llama_index · recommended 1×
  2. langchain-ai/langchain · recommended 1×
  3. Unstructured-IO/unstructured · recommended 1×
  4. pypdf/pypdf · recommended 1×
  5. pdfminer/pdfminer.six · recommended 1×
  • CATEGORY QUERY
    Need a way to convert PDFs to text using private LLMs on my machine.
    you: not recommended
    AI recommended (in order):
    1. LlamaIndex (run-llama/llama_index)
    2. LangChain (langchain-ai/langchain)
    3. Unstructured (Unstructured-IO/unstructured)
    4. pypdf (pypdf/pypdf)
    5. pdfminer.six (pdfminer/pdfminer.six)
    6. Ollama (ollama/ollama)
    7. transformers library (huggingface/transformers)

    AI recommended 7 alternatives but never named ngafar/llama-scan. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Python tool to extract detailed text from PDF images and diagrams locally?
    you: not recommended
    AI recommended (in order):
    1. Tesseract OCR
    2. pytesseract
    3. PaddleOCR
    4. Surya
    5. EasyOCR
    6. OpenCV

    AI recommended 6 alternatives but never named ngafar/llama-scan. 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 ngafar/llama-scan?
    pass
    AI named ngafar/llama-scan explicitly

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

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

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

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ngafar/llama-scan — 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