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MDisBetter vs SiteGPT — Word Conversion vs Chatbot Builder

SiteGPT is a chatbot-builder for websites — point it at your domain, it ingests the content, you get a custom AI chatbot to embed on your site. The platform exposes free conversion utilities (Word, PDF, CSV, JSON, URL → various formats) as a side benefit. MDisBetter is the opposite shape: pure conversion suite with 20+ tools, no chatbot product. Different end goals; the comparison comes up because both touch "convert this document".

FeatureMDisBetterSiteGPT
Word (DOCX) → Markdown
Embed an AI chatbot on a website
Train chatbot on your documents
Other conversion inputs PDF, URL, audio, video + 20 tools Word, PDF, CSV, JSON, URL utilities
Markdown post-processing (chunker, token counter, cleaner)
Free tier (no signup for casual web use) Utilities free; chatbot needs signup
API access Chatbot API focus
Best for Markdown-first conversion workflow Building website chatbots

Frequently asked questions

Should I pick SiteGPT for Word → Markdown?
Only if you also want a website chatbot. For pure conversion, their free utility works for occasional use but it is a side feature on someone else's product, not their focus.
Can MDisBetter replace SiteGPT?
No — we do not ship a chatbot product. If you want a custom AI chatbot embedded on your site that answers from your content, SiteGPT (or competitors like Chatbase, CustomGPT) is the right category.
Which has better Word conversion quality?
Comparable on clean modern Word documents (~95–98% accurate). MDisBetter's output is tuned to feed our own downstream tools (chunker, token counter); SiteGPT's output is tuned to feed their chatbot ingestion.
Pricing?
SiteGPT's free utilities are free; their chatbot product has subscription tiers tied to message volume. MDisBetter has a free tier for conversions and ~$10/mo Pro for the 20-tool suite. Compare against what you will actually use.
Can I use both?
Yes, common pattern: convert your sources to clean Markdown with MDisBetter (consistent output across PDFs, Word, URLs, transcripts), then feed the corpus into SiteGPT for the chatbot product. Better-prepared input usually produces a better-grounded chatbot.

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