RRepoGEO

REPOGEO REPORT · LITE

harlan-zw/mdream

Default branch main · commit 581cb9fc · scanned 6/14/2026, 4:37:39 PM

GitHub: 905 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 harlan-zw/mdream, 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's core function statement

    Why:

    CURRENT
    <h1>mdream</h1>

[](https://npmjs.com/package/mdream)
[](https://npm.chart.dev/mdream)
[](https://github.com/harlan-zw/mdream/blob/main/LICENSE.md)

> ☁️ The fastest HTML to markdown converter on GitHub. Optimized for LLMs and supports streaming.
    COPY-PASTE FIX
    <h1>mdream</h1>

> ☁️ The fastest HTML to markdown converter on GitHub. Optimized for LLMs and supports streaming.

Mdream is a high-performance HTML to Markdown converter, specifically engineered for large language models and streaming applications, offering unparalleled speed and token optimization.
  • hightopics#2
    Add relevant topics to the repository

    Why:

    COPY-PASTE FIX
    html-to-markdown, markdown-converter, llm-optimization, streaming, html, markdown, web-scraping, nlp, performance
  • mediumreadme#3
    Expand the 'What is Mdream?' section for clarity

    Why:

    CURRENT
    ## What is Mdream?

A zero-dep
    COPY-PASTE FIX
    ## What is Mdream?

Mdream is a zero-dependency, high-performance HTML to Markdown converter designed for modern web applications and AI workflows. It excels at transforming complex HTML into clean, optimized Markdown, making it ideal for preparing content for large language models, efficient data storage, and real-time streaming pipelines. Unlike generic converters, Mdream prioritizes speed, token efficiency, and minimal output, ensuring your content is ready for any application.

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 harlan-zw/mdream
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
html2text
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. html2text · recommended 2×
  2. turndown · recommended 2×
  3. BeautifulSoup · recommended 2×
  4. Pandoc · recommended 1×
  5. markdownify · recommended 1×
  • CATEGORY QUERY
    How can I efficiently convert HTML content into markdown for large language model input?
    you: not recommended
    AI recommended (in order):
    1. html2text
    2. turndown
    3. Pandoc
    4. BeautifulSoup
    5. markdownify
    6. DOMPurify

    AI recommended 6 alternatives but never named harlan-zw/mdream. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What's the fastest way to convert large HTML documents to markdown with streaming support?
    you: not recommended
    AI recommended (in order):
    1. pandoc
    2. html2text
    3. turndown
    4. go-readability
    5. goquery
    6. golang.org/x/net/html
    7. BeautifulSoup
    8. lxml

    AI recommended 8 alternatives but never named harlan-zw/mdream. 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 harlan-zw/mdream?
    pass
    AI named harlan-zw/mdream explicitly

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

  • If a team adopts harlan-zw/mdream in production, what risks or prerequisites should they evaluate first?
    pass
    AI named harlan-zw/mdream 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 harlan-zw/mdream solve, and who is the primary audience?
    pass
    AI named harlan-zw/mdream 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 harlan-zw/mdream. 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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HTML
<a href="https://repogeo.com/en/r/harlan-zw/mdream"><img src="https://repogeo.com/badge/harlan-zw/mdream.svg" alt="RepoGEO" /></a>
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harlan-zw/mdream — 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