Ground Your Support Team and AI Assistant in Your Help Center and Product Docs.
Convert your public help center, product documentation, and release notes into clean Markdown for agent assist, macros, chatbot grounding, and new-hire onboarding in ChatGPT, Claude, NotebookLM, or RAG.
- 1 Enter URL
- 2 Download Markdown
- 3 Load into your AI tool
Free to try • Pay-as-you-go from $0.04 per page.
Convert a help center or docs site to Markdown
Google sign-in is required to start a conversion.
Power support answers in the AI tools you already use
From scattered knowledge to one source of truth
Support managers and enablement leads are asked to cut handle time, improve first-contact resolution, and ramp new agents faster, all while the product and its docs keep changing.
Scattered knowledge, slow answers
Agents hunt across help articles, docs, and release notes, and macros drift out of sync with the product.
Search and question one consolidated file instead of many tabs.
Long ramp time for new hires
New agents get a bookmark list and a lot of shadowing, and take weeks to reach proficiency on Tier 1 issues.
Generate learning plans, glossaries, and quizzes straight from your docs.
AI assistants that guess
Chatbots and agent-assist tools invent answers when they don't have your current product documentation.
Ground answers in your real help center and cite the source article.
How SiteToMarkdown helps support and onboarding teams
Turn your public knowledge base into a file that both people and AI tools can search, so answers stay consistent and up to date.
Agent assist and faster first-contact resolution
Ask questions against current docs and get an answer with the article to cite, right in the middle of a ticket.
New-hire onboarding and ramp time
Create onboarding checklists, product glossaries, practice tickets, and quizzes for Tier 1 and Tier 2 agents.
Macros and canned responses
Draft consistent macros from knowledge base articles, using your own product terminology.
Knowledge gap and contradiction audits
Find articles that conflict, docs that lag behind release notes, and topics with no article, to reduce repeat tickets.
Ground a support chatbot or RAG index
Feed clean Markdown to your assistant to support ticket deflection with answers that trace back to an article.
Stay current with release notes
Rerun the conversion after each release so the team and your assistant work from the latest docs.
Start with your public help center, product docs, or release notes page.
From help center to a support-ready knowledge file
Enter your help center or docs URL
Paste the root of your public help center, product docs, or release notes.
Review and convert the articles
Choose the sections that matter and combine the articles into one Markdown file.
Load it into your AI tool
Add the file to ChatGPT, Claude, NotebookLM, or a RAG index for agent assist, macros, and onboarding.
Prompts to run on your Markdown
Attach the file, paste a prompt, and adapt it to your product, tone, and support tiers.
Agent assist answer with citation
Using only the attached help center Markdown, answer this customer question in a friendly, concise reply an agent can send: "[customer question]". Quote the relevant steps, cite the article URL, and if the documentation does not fully answer it, say what is missing and what to escalate to Tier 2.
Draft a macro from a knowledge base article
Turn the article on [topic] into a reusable macro (canned response) with a greeting that has a [customer name] placeholder, numbered steps, a link to the article, and a closing line. Then write a shorter version for chat. Keep product terminology exactly as it appears in the docs.
Tier 1 onboarding plan and quiz
Create a two-week onboarding plan for a new Tier 1 support agent from these docs: a glossary of product terms, the ten most important features to master, five practice tickets with expected resolutions, and a 20-question quiz with answers and source URLs.
Knowledge gap and contradiction check
Review the attached help center content. List articles that contradict each other, steps that reference outdated UI or features named in the release notes, and common topics that have no article. For each, give the URL and a suggested fix.
Looking for more? Browse prompts for every use case in the prompt guide →
See the knowledge base your team and AI receive
Input: a help center article
Category navigation, search boxes, "was this helpful?" widgets, and chat launchers around the steps.
Output: clean Markdown
# Consolidated Markdown for https://help.example.com
Generated at: 2026-09-23 14:05:00
---
## Page: https://help.example.com/articles/reset-password
# How to reset your password
1. Go to the sign-in page and select
**Forgot password**.
2. Enter the email address on your account.
3. Open the reset link we send you. It expires
after 60 minutes.
If you don't receive the email, check your spam
folder or contact support.
---Step-by-step instructions, headings, and notes stay intact, and each article is headed with its URL, so an agent or an AI assistant can cite the exact article behind an answer.
See an Example Markdown FileWhat you should know before converting
SiteToMarkdown converts publicly accessible web pages. Here's what applies to support and onboarding knowledge.
Public help centers and docs
Public help center articles, product docs, API docs, and release notes convert well, whichever platform hosts them.
Internal wikis aren't supported
Private wikis, knowledge bases, and anything behind a login or SSO cannot be crawled.
Choose your articles
Review the discovered pages before converting so outdated or irrelevant sections stay out of your assistant.
Keep humans in the loop
Spot-check AI answers against the source article and escalate billing, security, and account-specific issues.
Use it across your support stack
ChatGPT
Agent-assist answers, macros, and onboarding quizzes from your docs.
SiteToMarkdown for ChatGPT →Claude
Long-context audits for contradictions and gaps across a full help center.
SiteToMarkdown for Claude →NotebookLM
A shared notebook for new agents to ask questions with source citations.
SiteToMarkdown for NotebookLM →RAG workflows
Ground a support chatbot or internal assistant in your documentation.
SiteToMarkdown for RAG →API automation
Refresh your knowledge file after each release or on a schedule.
Read the SiteToMarkdown API docs →Pay-as-you-go pricing
Convert on demand from $0.04 per page with no subscription required.
See pricing →Frequently asked questions
Can I convert my help center from Zendesk, Intercom, Help Scout, or Freshdesk?
If your help center is publicly accessible, yes. SiteToMarkdown crawls the public pages you point it at, whichever help desk platform hosts them, and combines the articles you select into one Markdown file. You review the discovered pages before converting. SiteToMarkdown is not affiliated with or integrated into those platforms.
Does it work on our internal wiki or private knowledge base?
No. SiteToMarkdown can only convert pages that are publicly reachable. Internal wikis, private knowledge bases, and anything behind a login or SSO cannot be crawled. It works for public help centers, product documentation, API docs, status pages, and public release notes.
How can it speed up new agent onboarding?
Convert your help center and product docs into one Markdown file, then ask an LLM to turn it into a learning plan for a new Tier 1 agent: a glossary of product terms, a two-week ramp checklist, scenario-based practice tickets, and a quiz with answers that cite the source article. This gives new hires one place to ask questions instead of a maze of bookmarks, and shortens time-to-proficiency alongside your normal shadowing and coaching.
Can I use the file to ground a support chatbot or agent assist tool?
Yes. The Markdown file can be loaded into a RAG index or added as knowledge to an AI assistant so that answers are based on your current documentation. Each page is headed with its URL, which helps the assistant cite the source article. Test the assistant on real tickets and set clear escalation rules for questions the documentation does not answer.
How do I keep the knowledge current when docs and release notes change?
Rerun the conversion after a release, or on a schedule through the SiteToMarkdown API, then replace the old file in your assistant or RAG index. The file records when it was generated, so agents can see how fresh it is. Conversion is charged per page, so you can rerun just the sections that changed, such as release notes.
Will the AI ever give wrong answers?
It can. An LLM grounded in your documentation is more reliable than one answering from memory, but it can still misread or overstate. Ask it to quote the source article, spot-check answers against the help center, and keep humans in the loop for billing, security, and account-specific issues.
Give your agents and your AI one source of truth.
Convert your public help center, product docs, and release notes into Markdown for agent assist, macros, and onboarding.
Free to try • Pay-as-you-go from $0.04 per page. Google sign-in required. No credit card needed to sign in.