A help center your customers can actually get answers from
A fast, beautiful, searchable help center with an embedded AI assistant that answers in your customers’ words and cites the article it came from, so fewer questions become tickets.
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Trusted by product teams at
Self-service fails quietly
Search that needs the right word
Customers describe the problem in their own words. Keyword search insists on yours, and returns nothing useful when they differ.
The answer is three scrolls down
The article exists and it is correct. It is also buried in a page the customer never had a reason to open.
Chatbots that invent an answer
A confident wrong answer costs more than no answer at all, because now the customer is contacting you and annoyed.
No idea which article failed
Ticket volume rises, and nothing in the report points at the page that sent the customer to the contact form.
Ask AI, with the citation attached
- Ask AI searches your published help center and answers from it, not from a general model’s memory
- Every answer cites the page and section, so a customer can read the source and carry on
- Configure how the assistant appears and how it responds from a dedicated settings area
- Hybrid search adds semantic understanding for the queries that never match your exact terms
- Thumbs up, thumbs down, and an optional follow-up prompt capture why an article missed
- Fast, accessible, indexable pages: 100/100 Lighthouse Performance, Accessibility, and SEO
Answers carry a confidence score, and the low-confidence ones are listed for you. That list is the shortest route to the articles worth writing next.
Fewer tickets, and a reason for each one you still get
Answers, not a list of links
The assistant is docs-aware, cited, and configurable. It relies on your published help center as its source of truth and shows exactly where each answer came from.
Found by people and by models
Auto-generated llms.txt, an MCP endpoint, and structured content mean ChatGPT, Claude, and Perplexity answer questions about your product from your current help center rather than from memory.
Improved by whatever failed
Page satisfaction, written comments, and every low-confidence assistant answer feed the self-heal automation, which proposes fixes with the evidence that identified them attached.
Your customers ask in their words, not in yours
- Grounded in your published articles, never in a general model’s memory
- Every answer links the page and the section behind it
- Configure how it appears and how it responds from one settings area
What your customers get
Cited answers
Every AI Assistant answer links the page and section behind it.
Hybrid search
Semantic understanding plus keyword matching in one ranked result set.
100/100
Lighthouse Performance, Accessibility, and SEO, so the help center ranks.
llms.txt + MCP
AI assistants answer from your help center instead of guessing.
“Documentation.AI helps us see what users are actually asking inside our docs, so we can identify gaps and improve our documentation more regularly.”
LeonardCustomer Success Manager, DatafinitiFrequently asked questions
What teams ask before moving a customer-facing help center.
Will the AI Assistant answer questions our articles do not cover?
It answers from your published documentation and cites its source. Questions it cannot answer confidently are recorded for you, so you see the gap rather than a wrong answer.
Can we brand the help center as ours?
Yes. Serve it from a custom domain or a subpath on your own site, with custom CSS, custom scripts, and full control over navigation and theme.
Can some articles be public and others restricted?
Yes. Partial access mode keeps most pages public and gates the pages you choose behind a password, JWT, or OAuth 2.0.
Do help center pages get indexed by search engines?
Yes. Indexing and link following are configurable in Site Config, sitemap timestamps use real per-page update times, and pages score 100/100 on Lighthouse SEO.
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