In-product answers at the moment of confusion
Embed grounded AI answers into your app with the SDK and Cmd+K widget, and mine every question as product feedback — where users get stuck, in their own words.
The friction points every product & onboarding team knows
These are the recurring patterns we hear from product & onboarding leaders — and the ones BeforeQuery is built to remove.
Users hit friction and leave, silently
Most confused users never file a ticket — they poke around, fail, and downgrade their opinion of your product. The help center is three tabs away and might as well not exist.
In-app help is a static tooltip graveyard
Tours and tooltips answer the questions you predicted, not the one this user has right now. Maintaining them is a release-time chore that always slips.
Product feedback arrives pre-filtered and late
By the time confusion becomes a support ticket or an NPS comment, it has been summarized, sanitized, and delayed. You never hear how users actually phrase their problems.
Native in-product assistant
Priya’s Okta lockout can be cleared via self-serve MFA challenge — no IT intervention required. If MFA fails, escalate to IT on-call.
Answers that ship with the release
Questions as a product research stream
Related articles and suggested questions
Relevant sources for product & onboarding
The controls your security team is going to ask about
Frequently asked questions about product & onboarding
How much engineering work is the in-app integration?
The widget is a single script tag with theming options. For deeper integration, @beforequery/react ships a drop-in chat component and a headless hook, and the TypeScript SDK works in browser, React Native, and Node against the public API.
Can we build a fully custom UI?
Yes. The public streaming chat and search APIs (client-key authenticated) expose everything the widget uses, so you can build any experience — command palettes, inline helpers, onboarding checklists — on the same answer pipeline.
How do we use the question data for product decisions?
Analytics roll up top questions, question volume per week, languages, and knowledge gaps per knowledge base, and full conversation logs preserve the user's own phrasing — a research stream you can review alongside session recordings and tickets.
How long does setup take?
Most teams are live the same day. 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.
Are answers backed by source paragraphs?
Yes. Every answer includes a structured sources list with the URL, title, and excerpt of each source used, so users can click through and verify any claim against the original document.
Is my content used to train AI models?
No. Your indexed content, semantic vectors, 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.
Is there a free plan?
Yes. The Free plan includes 1 knowledge base and 100 AI questions per month — no credit card required. Pro comes with a 14-day free trial, and Enterprise plans add SSO, audit logs, and advanced governance features.
Solutions for other teams
Docs teams are judged on questions their pages actually resolve, not on word count. BeforeQuery layers an AI assistant on top of your existing docs (Mintlify / Docusaurus / GitBook / ReadMe / VitePress / any HTML) — so the same pages answer questions on your site, in Slack, in the IDE, and via API — and closes the loop with gap analytics that turn unanswered questions into a prioritized editorial backlog.
Deflect repetitive questions at the widget and the support form, and give agents cited draft replies inside the helpdesk — so humans handle only the tickets that need them.
Turn your documentation, API reference, and community threads into a cited assistant that lives on your docs site, in Discord, and inside the IDE via MCP — and shows you exactly which docs to write next.
Bring grounded AI answers to your product & onboarding
Connect your knowledge sources and see grounded AI answers in minutes — free, no credit card required.
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