Support self-serve enterprise evaluations
Let evaluating teams answer their own deep-dive questions.
Enterprise evaluators ask long-tail technical questions — SCIM details, data retention, failover behavior — over weeks of email threads with your team. Every slow answer extends the sales cycle; unanswered ones quietly eliminate you from consideration.
With BeforeQuery on your docs and trust pages, evaluating engineers self-serve deep technical answers with citations they can paste straight into their internal evaluation docs. Analytics show you which topics evaluators probe most, so sales knows exactly what a serious prospect is scrutinizing.
How it works
- 1Index your docs, trust pages, and security documentation.
- 2Evaluating engineers ask deep technical questions directly on your site.
- 3Answers include citations they can paste into their internal evaluation docs.
- 4Question analytics show sales which topics serious prospects probe most.
What you get
Features that make it work
Frequently asked questions
Why do citations matter for enterprise evaluations?
Evaluators need claims they can verify and reference internally. Every answer links to the source document, so an evaluating engineer can cite your actual docs in their write-up rather than a chatbot's paraphrase.
Can we see what evaluators are asking?
Analytics surface question topics and frequency, so sales and product see which capabilities prospects probe — data residency, failover, SCIM — and can prepare accordingly.
What if an evaluator asks something our docs do not cover?
The assistant falls back transparently rather than inventing an answer, and the question is logged as a knowledge gap — telling you exactly which trust-page content to write next.
How long does setup take?
Most teams are live the same day. You connect a source — a docs URL, GitHub repo, Notion workspace, or a file upload — and BeforeQuery crawls, normalizes, chunks, and embeds the content automatically. The website widget is a single script tag, and the Slack/Discord bots install in a few clicks. There is no model to fine-tune and no infrastructure to run.
Are answers backed by citations?
Yes. Every answer includes a structured citations list with the URL, title, and excerpt of each source used, and the answer text cites sources inline. Users can click through to verify any claim against the original document — which is what makes the answers trustworthy enough for support, sales, and internal use.
Is my content used to train AI models?
No. Your indexed content, embeddings, and conversations are isolated to your workspace and are only used to answer your own questions. Content is never shared across customers, and data is encrypted at rest and in transit. Enterprise plans add OIDC/SAML SSO, audit logs, and data-residency options.
Which knowledge sources can I connect?
18+ source types: websites, GitHub, GitLab, Notion, Confluence, Google Drive, SharePoint, Shopify, Zendesk, Jira, Linear, Salesforce, Slack, Discourse, Stack Overflow, YouTube, OpenAPI specs, and direct file uploads (PDF, Markdown, TXT, HTML). Sources sync on a schedule, and GitHub/GitLab can re-index automatically via webhooks on every push.
What happens when the AI is not confident in an answer?
Answers are confidence-scored. When retrieval confidence falls below your threshold, BeforeQuery returns a transparent, configurable fallback — typically pointing users to your support channel — instead of guessing. Those unanswered questions are logged in knowledge gap analytics so you can close the gap in your docs.
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Ready to support self-serve enterprise evaluations?
Connect your knowledge sources and see cited AI answers in minutes — free, no credit card required.
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