If you want to improve user engagement and experience on your documentation site, Docuo is a good option. It lets you build modern documentation sites with a Docs-as-Code workflow, transforming static documentation into developer-friendly hubs and API references. It comes with SEO metadata, content search, and data analytics to help you understand how users interact with your documentation. It also integrates with GitHub repositories, supports multi-instance hosting, and offers one-click deployment with automated updates.
Another powerful option is Document360, an AI-powered knowledge base tool that helps you create, manage and share knowledge bases. It comes with features like powerful search, rich analytics and AI-powered suggestions that can help automate documentation workflows and improve customer satisfaction. With integrations with over 120 tools and a range of customization options, it's a good option for technical writers and product owners.
If you want to tightly integrate your documentation with your coding workflow, GitBook is another good option. It lets you edit and manage documentation with Docs-as-Code techniques within GitHub or GitLab repositories, along with AI-powered search, branch-based workflows and collaboration tools. That makes it a good option for engineering teams that want to keep their documentation in sync with their codebase.
Last, you can use Algolia to improve search on your site. This AI-powered search infrastructure offers fast and scalable search, dynamic re-ranking based on user behavior, and personalization options. With a wealth of documentation and integration with many languages and frameworks, Algolia can help you build personalized search experiences that are tailored to your users' needs.