In-product answers at the moment of confusion
Embed cited 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.
Sound familiar?
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.
How BeforeQuery helps product & onboarding
Native in-product assistant
The @beforequery/react component and headless hook, the TypeScript SDK, and the embeddable widget (chat, sidebar, and Cmd+K modes) put cited answers inside the product, at the moment of confusion.
Answers that ship with the release
Docs and changelog sources re-sync automatically, so the in-app assistant answers about the feature you shipped this morning — no tooltip maintenance pass.
Questions as a product research stream
Every question is logged verbatim with analytics on top questions, languages, and gaps — a continuous record of where users get stuck, in their own words.
Related articles and suggested questions
The public API serves suggested questions and related articles per knowledge base, powering contextual help surfaces beyond chat.
Relevant sources & integrations
Common knowledge sources and delivery channels for product & onboarding.
Frequently asked questions
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 RAG 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 citations?
Yes. Every answer includes a structured citations 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, 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.
Is there a free plan?
Yes. The Free plan includes 1 knowledge base, 500 indexed pages, 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
Support Teams
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.
DevRel & Docs Teams
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.
Engineering Teams
Runbooks, ADRs, READMEs, and postmortems become a cited assistant in Slack and the IDE — so senior engineers stop being the search engine for the rest of the team.
Bring cited AI answers to your product & onboarding
Connect your knowledge sources and see cited AI answers in minutes — free, no credit card required.
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