Guides
Learn docs-first AI support
Practical guides for answering from documentation, citing sources, refusing weak answers, and turning misses into a docs backlog.
Start here
Three paths
Library
All guides
AI Support Chatbot Guide
What an AI support chatbot is, how it works, where it fails, and how to launch one that cites your docs instead of inventing answers.
Docs Chatbot Guide
How to build a docs chatbot that answers from documentation, shows citations, finds content gaps, and improves self-serve support.
RAG Chatbot for Documentation
A practical guide to retrieval-augmented generation for docs teams: chunking, citations, confidence, fallback, and monitoring.
llms.txt Guide
What llms.txt is, what to include, how it differs from robots.txt and sitemap.xml, and how to make a site easier for AI systems to understand.
Docs Gap Analysis
How to find missing documentation from support conversations, chatbot misses, search logs, and AI answer gaps.
AI Customer Support with Citations
Why citations matter in AI customer support, how they reduce risk, and how teams can use cited answers to improve trust and docs quality.
SaaS AI Support Chatbot Guide
How SaaS teams use AI support chatbots to answer setup, billing, integration, onboarding, and troubleshooting questions from trusted docs.
Knowledge Base Chatbot Guide
How to build a knowledge base chatbot that answers from help articles, cites sources, avoids hallucinations, and improves support self-service.
Help Center Chatbot Guide
How help center chatbots improve customer self-service by answering from support articles, routing handoffs, and finding missing help content.
Customer Support AI Agent Guide
What a customer support AI agent should do, how it differs from a basic chatbot, and how to launch one with citations and human handoff.
AI Documentation Search Guide
How AI documentation search helps users find setup guides, API answers, troubleshooting steps, and source-backed explanations faster.
How to Add an AI Chatbot to Developer Docs
How developer tools can launch an AI chatbot for docs that answers API, SDK, integration, and troubleshooting questions with citations.
What Is an AI Support Agent?
A clear definition of an AI support agent: how it differs from a chatbot, what it should answer from documentation, and when it should hand off to a human.
How to Train an AI Chatbot on Documentation
How to train an AI chatbot on your documentation: pick the right source, crawl cleanly, test real questions, require citations, and recrawl after you ship.
AI Chatbot vs Knowledge Base
An AI chatbot and a knowledge base solve different jobs. Here is when you need articles, when you need a chatbot, and why the best support stacks use both.
By team
Reading paths
SaaS support
Start with what is an AI support agent, then AI support agent for SaaS and how SaaS teams launch.
Docs and content
Start with docs chatbot, then docs gap analysis and AI support with citations.
Developer tools
Start with AI chatbot for developer docs, then AI documentation search and RAG for documentation.
AI discoverability
Start with llms.txt guide, then the AI readiness checker and FAQ schema generator.
Vocabulary
SEO, AEO, GEO
- SEO Indexable pages, clear titles, internal links, and a sitemap.
- AEO Direct answers, FAQ sections, and source-backed explanations.
- GEO llms.txt, citations, and pages generative search can quote.
Questions
FAQ
Where should I start with AI support?
Start with what an AI support agent is, then the AI support chatbot guide. Use the SaaS or documentation use-case pages when you are ready to evaluate usedocs.
What content should I prepare before launching a docs chatbot?
Prepare setup guides, help center articles, API docs, pricing and billing pages, troubleshooting pages, integration guides, and support policies.
How does this help SEO, AEO, and GEO?
Clear guide pages, internal links, FAQ structure, citations, llms.txt, and source-like product explanations help search engines and answer engines understand the site.