AI Chatbot for User Onboarding
SleekAI greets new signups in-app, walks them through setup, and answers their first ten questions using their plan, role, and account meta - so every reply matches the user's actual reality, not a generic checklist that ignores where they got stuck.
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First-time users churn faster than you can email them
First-time users churn faster than your onboarding email sequence can ship. The drip arrives a day late, the welcome video is two minutes longer than the user's patience, and the new account dashboard expects the user to know what to click first. SleekAI shows up in-app at the moment of confusion and unblocks the next step using the user's actual account data.
Because WordPress user meta - plan, role, signup date, completed milestones - is part of the prompt context, replies adapt to where the user actually is. A Starter-plan signup gets a different first task than a Business-plan one, and a designer asking how to invite teammates gets a different answer than a developer asking the same thing. Multibot lets you run a different bot for trial users, paying users, and enterprise pilots, each with its own voice and scope.
The conversation logs are the activation funnel made legible. Every "I don't have DNS access right now" or "how do I import existing content" is a friction point you can either fix in the product or pre-empt with a better empty state. The bot doesn't replace a CSM - it lets the CSM focus on the accounts that justify the time, which is the only way self-serve onboarding scales.
Workflow
Day-one help that actually meets the user
Trigger on first run
Inject account context
Encode the activation path
Track resolution
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Welcome - need a hand?
Comparison
Onboarding emails vs SleekAI
Generic chatbot
- Drip emails arrive after the user already churned
- Cannot react to which step the user is stuck on
- No awareness of the user's plan or role
- Static checklists don't adapt to the user's path
- Tickets pile up for the same first-day questions
SleekAI chatbot
- Personalises by plan, role, and account age
- Display conditions trigger the bot only on first-run pages
- Logs reveal the steps where new users get stuck
- Hands off to support with the full onboarding context
- Multibot lets enterprise vs free trials get different greetings
Features
What SleekAI gives you for Onboarding
Day-one help
Trigger on first login or empty-state pages so users get help when they need it - not a day later via email after they've already decided the product is too complex.
Personal context
Knows the user's plan, role, and progress so replies match their reality. A Starter user and a Business user asking the same question get genuinely different answers.
Activation insights
Conversation logs show exactly where new users hit walls. The recurring blockers become product fixes, better empty states, or doc updates, not guesses.
Use cases
Where onboarding chatbots help
SaaS first-run
Greet new signups, suggest the first task based on their plan, and unblock setup friction the moment it appears - DNS, imports, integrations, team invites.
Membership communities
Help new members find their first event, post, or group, with replies that reference real schedule entries and the right channel for their interests.
Course platforms
Walk learners into the right starting module based on their stated goals, current skill level, and which prerequisites they've already completed elsewhere.
The bigger picture
Why in-app AI beats every onboarding email sequence
The onboarding email is asynchronous; the moment of confusion is synchronous. By the time the email arrives the next morning, the new user has already concluded the product is too complex and unsubscribed. In-product help that adapts to the user's specific situation is the only thing that catches that moment, and a chatbot grounded in the same user meta the rest of the product uses is the cheapest way to provide it.
The other thing emails can't do is route the user past a blocker. "I don't have DNS access right now" is a real situation, and a generic email tells them to come back when they do. A context-aware bot tells them to skip that step and try the demo content import instead, then come back to DNS later.
That's the difference between a user who gets to value in their first session and one who closes the tab. CSMs end up doing the same job, but a CSM costs hundreds of dollars per account and the bot costs cents - the maths only works for the top 5% of accounts you actually want to white-glove.
Questions
Common questions about SleekAI for Onboarding
Yes. Display conditions support "logged-in within last X days" and specific URL patterns, so the bot appears on the welcome screen, the empty-state dashboard, or the first-run flow. You can also push the bot to open automatically on certain templates rather than waiting for the user to click the widget.
 Yes. User meta is part of the context, so plan, trial state, role, and any custom field flow into the prompt. A Free-plan user asking about a Business-plan feature gets an answer that explains what's and isn't included rather than walking them through something they can't access. The plan boundary is enforced in the system prompt.
 Hide the bot once the user has completed activation milestones using display conditions. Most teams set a rule like "hide after 14 days" or "hide once the user has completed three onboarding steps". Power users see a normal support widget instead, scoped to a different prompt and content set.
 Push events via the JS API to Mixpanel, Amplitude, or PostHog when the bot resolves a step. The standard pattern is to fire an event for "onboarding step resolved by bot" so you can see which conversations correlate with day-7 retention without any custom analytics work.
 Yes. Multibot plus role-based display conditions makes this trivial. A bot for marketers can have a different voice and content scope than the one for developers, and a bot for trial users can have different urgency than the one for enterprise pilots. Each is a separate config; routing is automatic.
 It handles the bottom of the funnel so CSMs can focus on accounts that justify the time. For the top 5% of accounts the human touch still wins; for the other 95%, an in-product bot is the only economically viable way to provide real help. Most teams see the CSM headcount stay flat while the served account count goes up.
 Compare day-7 and day-30 retention for cohorts that interacted with the bot versus those that didn't, controlling for plan and source. The cleanest way is to instrument with the JS API so onboarding events flow into the same tool you use for retention analysis. Most teams see meaningful lift on first-time-to-value before they see lift on retention.
 Yes. Use the JS API to open the widget with a tailored prompt when a heuristic fires - say, the user has been on the empty-state dashboard for two minutes without action. That moves the bot from passive to proactive, which catches users who would never have clicked the widget themselves.
 Pricing
More than 1000+
happy customers
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