AI Product Tour Generators: Demo Videos vs Tours That Run in Your App

Search for "AI product tour generator" and the results mix two very different products. Some turn a screen recording or a script into a polished demo you embed on your website. Others build tours that run inside your actual product, for people who are signed in. Both are called product tours, but they solve different problems.

Two kinds of AI product tour

• Demo tours are for people who don't have an account yet. You capture your product once, AI helps with the storyboard, narration or copy, and the result lives on your homepage, in a sales email or on a landing page. It shows the product, but it doesn't change when your product does, and it can't use anyone's real data.
• In-app tours are for people who have already signed up. They run on your live interface, point at the real buttons and appear for the people who need them, such as new admins or trial users in their first week. Here the AI writes the steps and places them on your real pages.

If the goal is more demo requests or signups, you want the first kind. If the goal is more new users reaching their first result, which is what onboarding and activation are about, you want the second. The rest of this article is about the second.

What an AI should do when it builds in-app tours

Writing the copy for five steps is the easy part; any language model can do that. What makes an AI-built tour safe to ship is everything around the copy:

• It reads your real pages. A step that points at a button that doesn't exist is worse than no step. The tool should check every element against the live page, not guess a selector from a screenshot.
• It keeps tours short: three to seven steps on one workflow. A tour of the whole interface gets skipped.
• It targets someone. "Everyone on the dashboard" is rarely right. New users, one role, or people who haven't done the key action yet usually are.
• It shows you first. You should see a preview on your own site, with your own data, before anyone else does.
• It follows your rules. If your team reviews everything before it goes live, an AI should not be able to skip the review.
• It tells you when a tour breaks. Releases rename and move things. You want to know which steps lost their element, not find out from a support ticket.

Questions to ask in any demo

• "Show me a tour the AI built, previewed on my own site, not on a sample app."
• "What happens when a step's element is gone after our next release?"
• "Can the AI publish on its own? Who decides?"
• "How do I know the tour worked, beyond its completion rate?"

The last question matters most. Completion tells you people clicked Next. It doesn't tell you whether they went on to do the thing the tour was about. Look for goals measured against a control group.

How Cueston builds tours with AI

There are two ways, depending on where you like to work.

From the AI app you already use. Connect Claude, ChatGPT, Cursor or another MCP app to the Cueston MCP server and describe the tour in plain words. The assistant looks at the pages and UI elements Cueston knows, drafts the tour, checks every selector against the real page, validates the draft and sends you a preview link. Nothing goes live until someone publishes it, and your approval rules still apply.

Use the Cueston tools.

Build a tour for new admins on the invoices page: create an invoice, add a client, send it. Five steps at most.
Show it only to admins who started using the app in the last 7 days and haven't sent an invoice yet.
Check every selector on the real page, validate the draft and send me a preview link. Don't publish.

From your users' questions. With AI guidance on, Cueston turns the questions people ask its in-app assistant into step-by-step guides. You review them and publish the ones you want the assistant to use. It's a good way to find the tours you didn't know you needed.

After launch, Analytics → Issues lists every tour step whose element was missing, with how many people it affected, and workspace admins get a daily email when something breaks. Through MCP you can also ask the assistant which tours broke after a release and have it repoint them for you to review.

Where AI-written tours go wrong

• Too many steps. Ask for a limit. If the AI suggests ten steps, you probably need two tours.
• Describing the screen instead of the job. "This is the toolbar" teaches nothing. "Add your first client here so their details fill in on every invoice" does.
• Generic copy. Give the AI your product's words and your users' goals, then edit the first draft the way you would a new colleague's.
• Showing it to everyone. Target by role, by how new someone is, or by what they haven't done yet.

For the basics of a tour that people finish, see product tours for SaaS.