Document360
Knowledge base software for public help centers and internal docs, with AI search and writing help.
- Developer API
A knowledge base is the written record of how your product works and how your team handles common requests. A public help center lets customers find answers without contacting you. An internal knowledge base gives agents one trusted place to check policies and steps. AI support agents depend on both, because they answer from whatever content you give them.
The tools here cover different needs. Document360, Helpjuice and KnowledgeOwl focus on help centers, with categories, versions, review steps and search analytics. Guru and Slite focus on internal knowledge, bringing verified answers into the tools where people already work. Confluence is a general team wiki many service desks use behind the scenes, and GitBook is common for product and developer documentation.
Whatever you pick, the hard part is keeping content current. Assign an owner for each section, set review dates, and make it easy for agents to flag an article that is wrong. Search analytics help a lot: the searches that return nothing, or that are followed by a ticket, show which articles to write next.
Structure matters more once AI reads your content. Short articles with one topic each, clear headings, and steps written as steps give both people and AI agents better answers than long pages that mix several subjects. Keep internal notes out of public articles, and mark which content an AI agent may use.
What a featured listing costs ยท from $99 a month
Knowledge base software for public help centers and internal docs, with AI search and writing help.
Internal knowledge base that brings verified answers into the browser and chat tools where agents work.
Knowledge base tool for help centers and internal docs, with customizable templates and search analytics.
Atlassian wiki for team documentation, often used as the internal source behind service desk answers.
Knowledge base software for customer help sites and internal docs, aimed at small and mid-size teams.
Documentation platform for product and developer docs, with AI search that answers questions from the pages.
Team knowledge base with AI search that answers questions from your company docs.
Finally, think about where the knowledge base sits in the support flow. The best help centers are linked from the help desk, the chat widget and the product itself, so customers find articles at the moment they need them.
Write for the reader who arrives from search with one question. Put the answer near the top, use the words customers use rather than internal names, and add screenshots only where they help, since they go out of date with every redesign. Link related articles so readers can go one step further without searching again.
For internal knowledge, add the context agents need but customers should not see: when to make an exception, who approves refunds above a limit, and which teams to involve. Tools such as Guru let agents see these answers inside the help desk or browser while they work.
Measure success by how many readers find an answer without opening a ticket, how often articles are rated helpful, and how many searches fail.
The built-in option is simpler and usually enough for a small help center. A separate tool makes sense when you need review workflows, many languages, versioned documentation or an internal knowledge base that is shared beyond the support team.
The agent answers from your articles. Clear, current, single-topic articles lead to better answers, and gaps or outdated pages lead to wrong ones. Many teams improve their help center before launching an AI agent.
Review an article whenever the product or policy it describes changes, and set a regular review date for the rest. Search reports and agent feedback show which articles need attention first.
Several can, with permissions that hide internal content from customers. Check how access control works and test it, so internal notes never appear on the public site.