Use case · Updated
AI knowledge base software that stays current
Knowledge bases decay quietly. Nobody notices until a customer quotes an outdated article back to support. A chatbot speeds that up unless the knowledge base updates itself. usedocs does the noticing and the drafting.
TL;DR
Short answer
AI knowledge base software should do more than answer from your articles; it should keep them current. usedocs answers customers with a link to the source and says so when the articles are silent, then fixes what it finds: merged pull requests become proposed edits and unanswered questions become drafted articles, approved in one queue.
Who this is for
SaaS teams with a customer facing knowledge base and no one assigned to maintain it full time. Typical owners are support leads or founders who also answer tickets, run onboarding calls, and write release notes. Best fit when the product ships often, the knowledge base has grown past what one person can reread, and the same questions keep reaching the inbox.
Problems this solves
- Articles describe old settings, and nobody knows which ones.
- The chatbot quotes outdated articles with confidence.
- Questions the knowledge base cannot answer go to email and disappear.
- Writing new articles never makes it into the sprint.
- Analytics show page views, not which questions failed.
How usedocs works for this job
Import your knowledge base From any docs URL, Zendesk Guide, Intercom, GitBook, or Notion, with redirects from old paths.
Answer with sources The assistant answers from your articles with a link to the source and refuses when the match is weak.
Catch what is missing Unanswered questions, "not helpful" votes, and imported tickets become ranked gaps with drafted articles.
Catch what changed Merged pull requests propose edits to the affected articles, and live articles are checked against your code on a schedule.
What you get
Answers with sources
Every answer links the article it came from.
Honest refusals
The assistant says when the knowledge base does not cover a question.
Drafts for missing articles
Ranked gaps from real questions, each with a draft.
Edits for changed articles
Proposed from merged PRs with the change as evidence.
Version history
Every approved change keeps the previous text, so you can restore any version.
Audit in an afternoon
Import the knowledge base and connect GitHub. The first drift report lists the articles that no longer match the code; fix those before turning on the chatbot so it starts from accurate pages. Then sort articles by "not helpful" votes and rewrite the worst three. Next, read the five most viewed articles end to end. Popular pages that are slightly wrong do more damage than obscure pages that are very wrong, because customers trust them and quote them back to support.
Let customers set the roadmap
After a week of the assistant answering, open the ranked gap list. The top gaps are the articles customers need most, in their own words. Approve the drafts in that order; it beats any editorial calendar for reducing tickets. Dismiss gaps that need account access or a human judgment call, and note them as handoff topics instead, so the list stays focused on articles that can actually answer the question.
Keep a single source of truth
Link support macros and onboarding emails to knowledge base articles instead of copying text. When a proposed edit is approved, every place that links to the article is right again.
Organize for finding, not for the org chart
Group articles into a handful of collections named after what customers are trying to do, such as getting started, billing, and integrations, not after internal teams. Use the collection descriptions to say who each one is for. Customers browse the sidebar, search, and Ask AI in roughly that order, so a clear structure helps all three. Restrict collections meant for paying customers to signed-in readers instead of maintaining a second knowledge base.
When to retire an article
Not every stale article deserves an edit. If a feature was removed, unpublish the article and add a redirect to its replacement, so old links and search results still land somewhere useful. Recently deleted keeps it for thirty days in case you need it back.
Why teams pick usedocs
- Answers link their sources
- Drafts for missing articles from real questions
- Edits proposed from merged PRs
- Version history for every change
Not for you if
Skip this if you need an internal wiki for employees, a document Q&A tool over thousands of private files, or a knowledge program with many authors and approval chains; a knowledge base platform fits those better.
FAQ
What is AI knowledge base software?
An assistant that answers customer questions from your knowledge base articles, ideally with a link to the source.
How is usedocs different from adding a chatbot to my knowledge base?
usedocs also maintains the knowledge base: it drafts articles for unanswered questions and proposes edits when the code changes.
Can I import my current knowledge base?
Yes. From any docs URL, Zendesk Guide, Intercom, GitBook, or Notion, with redirects.
Does anything publish automatically?
No. Edits and drafts wait for approval. Only translations can be set to publish right away.
Can parts of the docs stay private?
Yes. Make the help center private, or limit collections to signed-in readers with magic links, a shared password, or a token from your app.
Can the docs be translated?
Yes. Growth includes four languages beyond your primary one, translated automatically on every publish, sent to review first, or by hand.
Is there a free trial?
Yes. A 7 day Growth trial with no card, then one plan at $99 a month.
Does usedocs work with an existing helpdesk?
Yes. Keep Zendesk, Intercom, Help Scout, or your inbox for tickets; usedocs runs the knowledge base and its assistant, and hands off by email.