Personalized Onboarding: Start From the Customer's Website, Not a Questionnaire

Most guides to personalized onboarding start with the interface: checklists, tooltips, role-based tours, progress bars. Those are the right things to tune once you know who the user is. The harder question sits upstream: how do you find out? The usual answer is a questionnaire in the first-run flow: "What's your role? What's your team size? What are you trying to do?" Every question costs you completion rate, and the answers are coarse.

This post takes the other side of the problem. Rather than redesigning the screens, it asks what input you could have at the moment of signup that makes every screen better, and walks through one answer: the customer's own website, indexed before they've clicked anything.

Quick Answer

Personalized onboarding needs context about the customer, and the cheapest source you already have is their domain. At signup, make one provisioning call with their site URL. Their website is crawled into a private, searchable index. Once it's ready, query it from your onboarding logic: what they sell, who they serve, the terms they use. Use the answers to choose templates, pre-fill examples, and write first-run copy in their vocabulary. Until it's ready, fall back to your default flow. The UI patterns stay the same; the input gets better.

Why Questionnaires Cap Out

A role dropdown tells you "marketing manager." It doesn't tell you the company sells industrial fasteners to maintenance teams. The choices you can offer in a form are the choices you thought of in advance, so personalization is limited to the segments on your own whiteboard.

A website carries the answer in free text: product pages, pricing, who it's for, how they describe the problem. A question-based flow and a context-based flow can coexist, but only one of them scales to a segment of one.

The Flow, Step by Step

1. Signup: one call

When the account is created in your product, provision a matching account in the white-label RAG API, keyed by your own customer id:

curl -X POST "https://context-link.ai/api/v1/api_accounts" \
  -H "Authorization: Bearer $PROVISIONING_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{
    "uid": "cust-8841",
    "label": "Acme Supply Co",
    "site_url": "https://acme.com",
    "webhook_url": "https://your-app.com/hooks/context-link"
  }'

Your uid is the idempotency key, so a retried signup request returns the same account and token instead of creating a duplicate. Store the returned token against the customer. Details are in the create-account docs.

2. Don't wait: crawl in the background

Crawling is deliberately slow, so the index isn't instant. Let the user into the product immediately and show your default onboarding. This matters more than it sounds: a flow that blocks on a crawl is worse than no personalization.

3. Get the signal: the index-ready webhook

When the first crawl finishes, your endpoint receives an api_account.index_ready event, signed with HMAC-SHA256. Verify the signature and make the handler idempotent, because delivery is at-least-once. See the webhook reference.

4. Personalize: ask the index

Now the onboarding logic can query the customer's own index. Two endpoints cover most needs, both documented under querying one customer:

• GET /context returns the matching passages as markdown, to put into your own model's prompt.
• GET /question returns one short grounded answer with citations.

For example, to decide which starter template to suggest:

curl "https://context-link.ai/api/v1/question?query=who+are+the+customers+and+what+do+they+buy" \
  -H "Authorization: Bearer $CUSTOMER_TOKEN"

What to Personalize With It

Once you have grounded context, several onboarding decisions get easier. Here are a few reasonable ones; which fit depend on your product.

• Starter content. Pick or generate sample projects, templates or data in the customer's domain rather than "Acme Corp" placeholders.
• First-run copy. Write the welcome message using the terms they use for their own product.
• Next-step recommendations. Choose which feature to introduce first based on what the business actually does.
• Question pruning. Skip or pre-answer questionnaire items you can now infer, and ask only what the site can't tell you.
• Handoff to humans. Give customer success a one-paragraph briefing on a new account before the first call.

Treat inferred answers as suggestions the user can correct. A site can be out of date or vague, and a wrong guess presented as fact is worse than asking.

When There's No Website

Not every customer has a useful site. A new startup might have a one-page landing screen, and some products serve individuals. Two options help: provision the account without a site_url and push your own content into it, such as what they've typed or uploaded during signup, or fall back to the default flow. The retrieval calls work the same either way.

Build It or Buy It

The pieces you'd otherwise assemble are a crawler that behaves, chunking, an embedding pipeline, a vector database isolated per tenant and a scoring layer tuned until results are good. That's reasonable work if retrieval is your product; if onboarding is the product, it's overhead. White-label is $50 a month per bundle of 10 customer accounts with no usage fees on top. For the trade-offs, see our RAG as a service guide and the walkthrough of a RAG pipeline.

If your next step is deciding what to enrich beyond the signup form, company enrichment APIs and where they stop covers how firmographic lookups compare with a whole-site index.

Frequently Asked Questions

What is personalized onboarding?

Personalized onboarding adapts a new user's first-run experience to who they are and what they're trying to do, instead of showing everyone the same tour. The adaptation can be as simple as a role-based checklist or as specific as example data written for their business.

What is AI onboarding?

The phrase covers two things: onboarding new employees, and activating new users of a product. This post is about the second, using AI to tailor a product's first-run experience.

How do I personalize onboarding without asking more questions?

Use context you already have access to. A domain from a work email or signup form lets you index the customer's website and infer much of what a questionnaire would ask.

Will indexing their site slow signup?

Not if you do it in the background. Provision at signup, show your default flow, and switch to personalized steps when the api_account.index_ready webhook fires.

Is each customer's data kept separate?

Each customer has their own private index and token, and queries with that token search only that customer's content, plus anything you've deliberately indexed for all customers.