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Guided Product Tour With AI Chat: Audit Your Old Tour

A guided product tour with AI chat replaces a fixed sequence of tooltips with a chat assistant that builds the path from the user’s own question: it takes them to the right page, points out the control, and explains the next step. The best way to approach it isn’t to delete your existing tour. Audit it step by step, keep the short orientation, and turn every “here’s where X lives” step into something the chat answers on demand. In Total Chat, that guidance runs for logged-in users on the Starter plan and up, one feature per walkthrough.

Last updated: October 2026

What actually changes is who starts the tour

A scripted tour starts when you decide. Usually that’s first login, before the user has a reason to care about any of the features you’re showing them.

A chat-guided tour starts when the user decides. Someone comes back on day nine, can’t remember where the export settings live, and asks. That’s the change, and it’s bigger than it sounds, because the moment a user gets stuck is the moment they’re actually paying attention.

Most people struggle with tours for a simple reason: a tour is a guess about what users will need, written weeks before they need it. That’s why completion numbers disappoint even when the copy is good. It’s not your writing. It’s the timing. If you’ve suspected for a while that nobody reads step four, you were probably right.

Audit your current tour, one step at a time

Open your existing tour and sort every step into one of five buckets. I’d do this in a spreadsheet; it takes an afternoon for a typical tour.

Step in your tour	What to do with it in an AI chat tour
“Welcome! Here’s your dashboard.”	Keep it scripted. A short first-login orientation still works.
“This is where you’ll find Reports.”	Write a short knowledge base article and tag the control so the chat can point at it.
“Click here to create a project.”	Let the chat walkthrough handle it: move to the page, open the dialog.
“Fill in these fields.”	Leave it with the user. Put field guidance in the knowledge base.
“Now connect an integration, then invite your team.”	Split into feature-sized pieces the user asks for one at a time.

Two of those rows deserve more detail, because they’re where tools differ most.

The “click here” row. Total Chat’s walkthroughs click the control that opens a feature when that feature is a button or a dialog. So “open the create-project dialog” is something the chat can do for the user. Typing the project name isn’t: Total Chat never fills in forms, and the final step gets explained in chat for the user to finish.

The multi-feature row. Each Total Chat walkthrough covers one feature. Chaining several features into one workflow isn’t built yet. If your tour’s big moment is a ten-step sequence across three screens, it becomes three separate questions in a chat tour. That’s fine for most setups, but be honest with yourself about it before you pull the old tour.

What the chat needs before the old tour can go

A scripted tour carries its knowledge inside the tour. A chat tour pulls it from three places, and each one has to exist first.

A map of your app. The assistant needs to know which features exist, which page they’re on, and how to find each control. Total Chat builds this with its codebase scanner: npx @totalchat/cli scan --upload, run locally or as a GitHub Actions step. It reads Next.js apps (App Router or Pages Router). The map is also what lets the assistant know the open modal, the active tab and which features are available on the current page; without it, it knows the route and little else.

Stable hooks on your controls. Total Chat’s docs recommend data-guide attributes on key elements, like <button data-guide="add-team-member">Invite</button>, and the scanner suggests which ones to add first. Your old tour probably targets elements by CSS class. That’s exactly why it broke the last time someone redesigned a page. Tired of fixing tour steps after every sprint? Stable attributes are most of the cure.

Answers in a knowledge base. The chat explains the last step in words, so those words have to exist. You can write articles directly, or point Total Chat’s URL crawler at your live site and it drafts 3-8 articles for you to approve or reject. Note the crawler only seeds the knowledge base; it doesn’t build the feature map, so it can’t replace the scanner for guided steps.

One more piece: the user has to be logged in, and your server has to sign a token that tells the widget so. Without it the widget runs in visitor mode, which answers questions and captures leads but has no navigation or walkthroughs. More on install shape in Why One-Line Install Matters for Chat Widgets.

Run both for a few weeks

Here’s my opinion, and it’s the part teams skip: don’t rip out the scripted tour on the day the chat goes live.

Keep the orientation steps running. Remove the “where is X” steps one at a time as you confirm the chat answers each of them. Then watch one number, the count of repeat “how do I...” tickets, and ignore tour completion rate entirely. What if the tour you maintain shrank to three steps, and everything else came from questions users actually ask? Completion rate measures whether people clicked Next. Tickets measure whether they got stuck.

If a step keeps generating tickets after the chat is live, that’s usually a missing article or an untagged button, not a model problem. Fix the input before blaming the output.

Where Total Chat fits, and where it doesn’t

Total Chat installs as a script tag, not an SDK, and the guided pieces sit on its paid plans. Per the plans table in the docs, navigation and element pointing start on Starter at $49 a month; on Free, the assistant gives directions in words. On paid plans it also drafts a new knowledge base article when a conversation exposes a gap, and nothing goes live until you approve it.

The honest limits: the scanner only reads Next.js today, each walkthrough covers one feature, forms stay with the user, and none of it runs before login. If your onboarding hinges on a long mandatory sequence that has to run start to finish without the user asking anything, a scripted tour still does that job better.

For the strategy side, see AI User Onboarding Walkthrough: What Actually Works. If you’re still comparing widgets, Best AI Chat Widget for SaaS in 2026 covers what to check before you commit.

Frequently Asked Questions

What is a guided product tour with AI chat?

It’s onboarding guidance delivered by a chat assistant inside your app instead of a fixed tooltip sequence. The user asks how to do something, and the assistant takes them to the right page, points out the control and explains the next step. The path comes from the user’s question at the moment they’re stuck, rather than being scripted in advance for first login.

Should I delete my existing product tour?

Not right away. Keep a short first-login orientation if you have one, and retire the “here’s where X lives” steps one at a time as you confirm the chat answers each of them. Track repeat “how do I” tickets rather than tour completion. A long mandatory sequence across several features is still better served by a scripted tour for now.

Can Total Chat run a tour across several features?

Not as one continuous workflow yet. Each Total Chat walkthrough covers a single feature: it moves a logged-in user to the right page, can point out the element, clicks the opening control for button or dialog features, and explains the final step in chat. A task that spans several features runs as separate walkthroughs the user asks for in turn.

What does Total Chat need from my app to guide users?

Three things: a feature map from its codebase scanner (npx @totalchat/cli scan --upload, Next.js apps), a knowledge base with answers for the final steps, and a signed token from your server so logged-in users get the in-app mode. Adding data-guide attributes to key buttons makes pointing at controls more reliable. Guided navigation needs the Starter plan or above.

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