CITATIONS
Every answer shows its work
Trust in AI answers comes from provenance. Every BeforeQuery answer carries numbered citations to the exact source documents used — and when the knowledge isn't there, the assistant says so instead of inventing something.
Grounding, end to end
From retrieval to the moment a user clicks a source
Provenance built in
Source-Backed Answers
- Numbered sources assembled into the answer context
- Structured citations array: URL, title, excerpt
- Click through to the exact source page
- Citations across widget, bots, portal, API, and MCP
- Related articles surfaced alongside answers
No confident nonsense
Honest Uncertainty
- Confidence scoring on every answer
- Low-confidence fallback instead of hallucination
- Configurable fallback routes users to support
- Unanswerable questions logged as knowledge gaps
- Form deflection only deflects well-grounded answers
Audit any answer
Verifiability
- Conversation history with full citation records
- Traces show retrieved chunks behind each answer
- User feedback (helpful / not helpful) per message
- LLM-judge evals score answer quality over time
- Audit-friendly for compliance review
Why grounding beats guessing
The difference between an answer and a liability
A support answer that invents a refund policy, a fee schedule, or an API parameter costs more than no answer at all. BeforeQuery generates answers only from content you indexed and approved, cites it, and falls back transparently outside that boundary — which is what makes it deployable in fintech, healthcare, and the public sector.
- Answers restricted to your indexed, approved content
- Users verify claims with one click on the citation
- Compliance can reconstruct any conversation from traces
- Deflection metrics count only confident, grounded answers
- Gaps become a prioritized docs backlog, not silent failures
Frequently Asked Questions
Common questions about Citations & Grounding
Each citation includes the source URL, document title, and the excerpt used, delivered as a structured array alongside the answer — so any UI, bot, or API consumer can render clickable, verifiable sources.
Answers are generated from retrieved chunks of your indexed content, the prompt requires grounding in those sources, and confidence scoring gates the result. Below the threshold, users get a transparent fallback message you configure — not a guess.
Yes. Conversations are stored with their citations, traces record the retrieved sources behind each answer, and workspace audit logs cover administrative actions — enough to reconstruct any answer for review.
Yes — widget, Slack/Discord/Teams bots, the Ask portal, the public API, and MCP responses all carry the same structured citations from the same pipeline.
They become data. Gap analytics collect unanswered and low-confidence questions into a prioritized list, and doc proposals can draft the missing pages for your team to review and publish.
Ship AI answers you can defend
Grounded, cited, and auditable — try it on your own docs for free.
Get Started Free