RRepoGEO

REPOGEO REPORT · LITE

Michaelliv/markit

Default branch main · commit 9f4a9c66 · scanned 5/14/2026, 5:07:00 PM

GitHub: 1,222 stars · 49 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 Michaelliv/markit, 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 paragraph to clarify purpose and technology

    Why:

    CURRENT
    Convert anything to markdown. PDF, DOCX, PPTX, XLSX, HTML, EPUB, Jupyter, RSS, images, audio, URLs, and more. Pluggable converters, built-in LLM providers for image description and audio transcription. Works as a CLI and as a library.
    COPY-PASTE FIX
    markit is a powerful Node.js CLI and library designed for converting diverse content – including documents (PDF, DOCX, PPTX, XLSX), web pages, and media – into clean markdown. Unlike a markdown editor or a simple Pandoc wrapper, markit uniquely integrates built-in LLM providers for AI-powered image description and audio transcription, alongside robust conversion for many other formats.
  • mediumreadme#2
    Add a dedicated section to the README for comparison with alternatives

    Why:

    COPY-PASTE FIX
    ## Why markit? (Beyond basic conversion)

Unlike general-purpose document converters or markdown editors, markit focuses on a seamless, AI-enhanced conversion experience. It's built in Node.js, not Python, and offers direct integrations for LLM-powered media analysis, which tools like Pandoc typically don't provide out-of-the-box. This makes markit ideal for transforming complex, multimodal content into structured markdown.

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 Michaelliv/markit
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
jgm/pandoc
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. jgm/pandoc · recommended 1×
  2. mwilliamson/mammoth.js · recommended 1×
  3. dagwieers/unoconv · recommended 1×
  4. tabulapdf/tabula · recommended 1×
  5. CloudConvert · recommended 1×
  • CATEGORY QUERY
    How can I convert different document types like PDFs, DOCX, and spreadsheets to markdown?
    you: not recommended
    AI recommended (in order):
    1. Pandoc (jgm/pandoc)
    2. mammoth.js (mwilliamson/mammoth.js)
    3. unoconv (dagwieers/unoconv)
    4. Tabula (tabulapdf/tabula)
    5. CloudConvert
    6. Zamzar
    7. Apache Tika (apache/tika)

    AI recommended 7 alternatives but never named Michaelliv/markit. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What's a good tool to convert images and audio into markdown using AI for content description?
    you: not recommended
    AI recommended (in order):
    1. ChatGPT
    2. GPT-4V
    3. DALL-E 3
    4. Whisper API
    5. Zapier
    6. Make.com
    7. Google Gemini
    8. Google's Speech-to-Text API
    9. Microsoft Azure AI Services
    10. Azure AI Vision
    11. Azure AI Speech
    12. Azure OpenAI Service
    13. Hugging Face Transformers (huggingface/transformers)
    14. Salesforce/blip-image-captioning-large
    15. openai/whisper-large-v3
    16. Llama 2
    17. Mistral
    18. Img2Markdown

    AI recommended 18 alternatives but never named Michaelliv/markit. 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 Michaelliv/markit?
    pass
    AI named Michaelliv/markit explicitly

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

  • If a team adopts Michaelliv/markit in production, what risks or prerequisites should they evaluate first?
    pass
    AI named Michaelliv/markit 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 Michaelliv/markit solve, and who is the primary audience?
    pass
    AI named Michaelliv/markit 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 Michaelliv/markit. 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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MARKDOWN (README)
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Michaelliv/markit — 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