Docsbook blog: documentation strategy and comparisons

The posts are grouped by the job you are doing right now, not by the date they were published — a comparison written last quarter is still the right page to open when you are choosing a platform this week.

I need to publish documentation that does not exist yet#

Start here if the docs are in a README, a wiki, or nowhere.

• Turn your README.md into a real documentation site — the shortest path from one file to a site
• How to host documentation from a GitHub repository — three routes compared, with the setup steps for each
• Why README-only projects need a documentation site — what a single file caps you at
• Custom domain for docs: docs.yourcompany.com setup — DNS, SSL and redirects, done once

I am choosing a documentation platform#

Head-to-head comparisons. Each one names the cases where the other product wins.

• The best documentation platforms for startups in 2026 — eight platforms, ranked by company stage
• Docusaurus alternatives in 2026: 9 platforms compared — the full field, managed and self-hosted
• GitBook vs Docsbook — how each one charges, and where the content lives
• Mintlify vs Docsbook — configuration, AI and multi-language SEO
• AI documentation platforms compared — what AI is actually implemented across four managed tools
• Free documentation hosting compared — six ways to pay nothing, and what each costs in time
• Docs as code vs a managed platform — the same choice stated as a principle

I already run docs somewhere and want to move#

• Should you move off Docusaurus in 2026? — the decision before the migration
• Migrating from Docusaurus to Docsbook, step by step — MDX, CI cleanup, redirects
• Migrating from GitBook to Docsbook — export, import, custom domain, redirects
• Why we stopped using Notion for product documentation — where a wiki stops being docs

I want people to find the docs I already have#

Search engines first, then assistants — the two are related but not the same problem.

• Documentation SEO: how to rank developer documentation — the foundation the rest of this section builds on
• Multi-language documentation SEO — per-locale URLs and hreflang
• JSON-LD for documentation — the schema types worth adding, and the one that no longer earns a rich result
• AI search for documentation — why keyword search returns nothing for real questions
• How to get your documentation cited by ChatGPT — the working checklist
• Perplexity citations for documentation — what its crawler actually reads
• llms.txt explained — what the file is, and how much of the claim around it is evidenced

I want the docs to work for AI agents, not only readers#

• MCP server for documentation — how Claude Code and Cursor read and edit your docs
• docs-skills: modular capabilities for AI agents — the layer between MCP and your content
• AI chat for documentation: should you build or buy? — the cost of owning a retrieval pipeline

I need to prove the docs are working#

• Documentation analytics: the metrics worth tracking — failed searches, unanswered questions, dead ends
• Why documentation matters for SaaS: the hidden ROI — how to measure the cost of bad docs on your own product
• API documentation best practices for developers in 2026 — the highest-stakes docs a company writes

Internal#

• FAQ reply notebook — copy-paste answers for community comments on Reddit, X, Hacker News and IndieHackers

Related#

• Guides
• Content & Setup