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.
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.
Search reads meaning, not just keywords, so readers stop guessing.
Fewer dead-end searches, fewer tickets, happier readers.
Readers rarely know the exact title of an article. Semantic search matches what they mean, so they find answers even with vague queries.
Results appear as they type, ranked by relevance with previews, fewer dead ends and abandoned searches.
Failed and low-result searches become a clear list of missing content, so you fix the gaps that matter most.
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.
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.
Yes. Results support natural-language matching alongside synonyms and filters, so readers can narrow down without learning a query syntax.
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.