Smart Search

Search that understands what people mean

Semantic, intent-aware search across your docs and help center. Readers describe the problem in their words, doxbrix finds the answer, not just the keyword.

Natural-language queries Instant results Synonyms & filters
How it works

From a vague question to the right answer

Search reads meaning, not just keywords, so readers stop guessing.

1. Ask in natural languageReaders type the problem in their own words, no exact keywords needed.
2. Understand intentSemantic matching reads meaning, synonyms, and context.
3. Rank by relevanceThe most useful answers surface first, with snippets and sources.
4. Answer or browseGet an instant Ask AI answer, or jump straight to the right page.
Why it works

Help readers find answers faster

Fewer dead-end searches, fewer tickets, happier readers.

Intent over keywords

Readers rarely know the exact title of an article. Semantic search matches what they mean, so they find answers even with vague queries.

Instant, ranked results

Results appear as they type, ranked by relevance with previews, fewer dead ends and abandoned searches.

Learns from search gaps

Failed and low-result searches become a clear list of missing content, so you fix the gaps that matter most.

FAQ

Common questions

How is this different from keyword search?

Keyword search needs the reader to guess the right words. Semantic search understands intent, synonyms, and context, so a question like “I’m locked out” surfaces your account-recovery article even if those exact words never appear.

Does search work with Ask AI?

Yes. Search and Ask AI share the same approved content, so readers can get a ranked list of pages or a direct, cited answer from the same query.

Can readers filter results?

Yes. Results support natural-language matching alongside synonyms and filters, so readers can narrow down without learning a query syntax.

How does search help us improve docs?

doxbrix surfaces top searches, failed searches, and low-result queries as a gap report, turning real reader behavior into a prioritized content to-do list.

Give readers search that gets them

Intent-aware search that turns vague questions into the right answer.