REPOGEO REPORT · LITE
romansky/dom-to-semantic-markdown
Default branch main · commit 9500b213 · scanned 6/16/2026, 7:33:01 PM
GitHub: 977 stars · 28 forks
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 romansky/dom-to-semantic-markdown, 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.
- hightopics#1Add relevant topics to improve categorization
Why:
COPY-PASTE FIXllm, large-language-models, markdown, html-to-markdown, semantic-parsing, content-extraction, ai-data-prep
- highreadme#2Strengthen LLM focus in README title and opening
Why:
CURRENT<h1 align="center"> <br> DOM to Semantic Markdown </h1> This library converts HTML DOM to a semantic Markdown format optimized for use with Large Language Models (LLMs). It preserves the semantic structure of web content, extracts essential metadata, and reduces token usage compared to raw HTML, making it easier for LLMs to understand and process information.COPY-PASTE FIX<h1 align="center"> <br> DOM to Semantic Markdown for LLMs </h1> This library converts HTML DOM to a semantic Markdown format *specifically optimized for Large Language Models (LLMs)*. It preserves the semantic structure of web content, extracts essential metadata, and reduces token usage compared to raw HTML, making it easier for LLMs to understand and process information. - mediumhomepage#3Add a homepage URL to the repository
Why:
COPY-PASTE FIXhttps://github.com/romansky/dom-to-semantic-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.
- Beautiful Soup · recommended 1×
- Playwright · recommended 1×
- Selenium · recommended 1×
- LXML · recommended 1×
- DOMPurify · recommended 1×
- CATEGORY QUERYHow to convert HTML DOM into a structured format for large language models?you: not recommendedAI recommended (in order):
- Beautiful Soup
- Playwright
- Selenium
- LXML
- DOMPurify
- JSDOM
- Readability.js
- Trafilatura
AI recommended 8 alternatives but never named romansky/dom-to-semantic-markdown. This is the gap to close.
Show full AI answer
- CATEGORY QUERYWhat's the best way to transform web content into semantic markdown for LLM ingestion?you: not recommended
Show full AI answer
Objective checks
Rule-based audits of metadata signals AI engines weight most.
- Metadata completenesswarn
Suggestion:
- README presencepass
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 romansky/dom-to-semantic-markdown?passAI named romansky/dom-to-semantic-markdown explicitly
AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?
- If a team adopts romansky/dom-to-semantic-markdown in production, what risks or prerequisites should they evaluate first?passAI named romansky/dom-to-semantic-markdown 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 romansky/dom-to-semantic-markdown solve, and who is the primary audience?passAI named romansky/dom-to-semantic-markdown explicitly
AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?
Embed your GEO score
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romansky/dom-to-semantic-markdown — 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