RRepoGEO

REPOGEO REPORT · LITE

wisupai/e2m

Default branch main · commit ff89c7ae · scanned 5/19/2026, 7:03:12 AM

GitHub: 1,295 stars · 73 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 wisupai/e2m, 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
    Strengthen README's opening sentence to clarify core function

    Why:

    CURRENT
    E2M is a Python library that can parse and convert various file types into Markdown format.
    COPY-PASTE FIX
    E2M is a powerful Python library and CLI tool designed to convert a wide array of document and media files—including PDFs, Word documents, EPUBs, HTML, and audio (MP3, M4A)—into high-quality Markdown, specifically optimized for RAG and LLM training data.
  • hightopics#2
    Expand topics to cover diverse file types and RAG/LLM use cases

    Why:

    CURRENT
    doc2x, e2m, llm, markdown, pdf-to-markdown, text-cleaning
    COPY-PASTE FIX
    doc2x, e2m, llm, markdown, pdf-to-markdown, text-cleaning, document-conversion, media-to-markdown, rag-data, llm-data-preparation, content-extraction, python-library, cli-tool
  • mediumhomepage#3
    Add a homepage URL to the repository metadata

    Why:

    COPY-PASTE FIX
    https://github.com/wisupai/e2m

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 wisupai/e2m
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Pandoc
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. Pandoc · recommended 2×
  2. unstructured · recommended 1×
  3. Tesseract OCR · recommended 1×
  4. pytesseract · recommended 1×
  5. FFmpeg · recommended 1×
  • CATEGORY QUERY
    How can I convert diverse document and media files into Markdown for LLM training?
    you: not recommended
    AI recommended (in order):
    1. Pandoc
    2. unstructured
    3. Tesseract OCR
    4. pytesseract
    5. FFmpeg
    6. OpenAI Whisper
    7. Google Cloud Speech-to-Text
    8. AWS Transcribe
    9. AssemblyAI
    10. Beautiful Soup
    11. html2text
    12. python-docx
    13. PyPDF2
    14. fitz (PyMuPDF)
    15. openpyxl

    AI recommended 15 alternatives but never named wisupai/e2m. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What are the best open-source tools to convert PDFs, Word, and audio to Markdown?
    you: not recommended
    AI recommended (in order):
    1. Pandoc
    2. Whisper (OpenAI)
    3. Apache Tika
    4. pdfminer.six
    5. mammoth.js
    6. textract

    AI recommended 6 alternatives but never named wisupai/e2m. 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 wisupai/e2m?
    pass
    AI named wisupai/e2m explicitly

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

  • If a team adopts wisupai/e2m in production, what risks or prerequisites should they evaluate first?
    pass
    AI named wisupai/e2m 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 wisupai/e2m solve, and who is the primary audience?
    pass
    AI named wisupai/e2m explicitly

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

Embed your GEO score

Drop this badge into the README of wisupai/e2m. It auto-updates whenever the report is rescanned and links back to the latest report — easy public proof that you care about AI discoverability.

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wisupai/e2m — 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