A chatbot for LifterLMS sites that answers from WordPress
Add an AI chatbot that answers from what your site already publishes, appears only where you want it, and runs on your own OpenAI, Anthropic, Google, or OpenRouter key.
Answers from your own content
If LifterLMS keeps its content in WordPress as posts, custom post types, post meta or taxonomies, SleekAI can put it into the chatbot’s context.
Map post titles and content, post meta (ACF and Meta Box fields included), terms or a WP_Query into the instruction, and the values resolve on every request, so an edit shows up in the next answer (data synced to an OpenAI vector store refreshes on its schedule instead).
Data that LifterLMS keeps in its own database tables, in its settings or on an outside service is not read out of the box; a developer can add it as a custom source with the sleekAi/chatbot/sources filter. Display conditions decide where the chatbot appears, by post type, taxonomy term, post template, user role or logged-in state.
Features
Opt-in logs
Turn on logging per chatbot to keep visitor messages and replies in WordPress, and delete old logs after a retention period.
Styled to your site
Set colours, position, button, welcome message, presets and a light or dark theme, or override the CSS custom properties.
Vector store sync
Sync query results to OpenAI file search on a schedule and rank what it finds with a retrieval priority per query; this needs an OpenAI key and model.
Where a chatbot helps
Repeat questions
Answer the questions visitors ask every day from the pages and posts where you already answer them.
The next step
Put your booking page, contact form or pricing page in the instruction so the bot links visitors there when they are ready.
Logged-in visitors
With user and user meta data in the context, a logged-in visitor can ask about details stored in their WordPress user profile.
How to set it up
Map your data
Choose the posts, fields, taxonomies or users the bot should know and reference them in the instruction.
Set display conditions
Decide which pages, post types, roles or logged-in states show the chatbot.
Pick a model
Store your OpenAI, Anthropic, Google or OpenRouter key once in the shared AI settings, or add a compatible endpoint, and choose the chatbot’s model.
Review and refine
Turn on logs, read what visitors ask and tighten the instruction or the page behind it.
Why it pays off
Most questions visitors ask are already answered somewhere on your site, just not where they are looking. A chatbot that reads that content and links to the right page closes the gap without a new content system to maintain.
Frequently asked questions
Can it act on a visitor’s behalf?
No. A chatbot answers questions. It does not submit forms, create bookings, open tickets or send email; put the links for those steps in its instruction so it can point visitors to them.
Can it read the data LifterLMS stores?
Anything LifterLMS keeps in WordPress as posts, post meta, taxonomies, users or user meta can be mapped into the chatbot’s context. Data in its own database tables, its settings or on its own service needs a custom source added with the sleekAi/chatbot/sources filter.
Can I control where the chatbot appears?
Yes. Display conditions cover post type, post, post status, post template, taxonomy, term, user role, logged-in state and WordPress conditional tags such as front page, archive, search and 404.
Are conversations stored?
Only if you turn on logging for that chatbot. SleekAI then stores each visitor message and each completed reply, which you read and delete on the chatbot’s Logs page, and a retention period can delete old logs.
Can I run more than one chatbot?
Yes. Each chatbot has its own instruction, data, display conditions and styling, so different sections of a site can get different bots.
Does it handle large amounts of content?
Query results can be synced to OpenAI file search on a schedule, so the chatbot finds the relevant entries instead of sending everything with each request, and a retrieval priority per query or post type ranks what it finds. This needs an OpenAI key and model.
Is there a SleekAI fee per message?
No. SleekAI is a plugin licence with every feature in every plan; model usage is billed by your AI provider.
Can visitors run up my AI bill?
A public chatbot answers all its visitors together at most 200 messages an hour and 1,000 a day, and one visitor at most 30 messages in five minutes. Filters change either limit per chatbot, and administrators are not counted.
Pricing
Explore our flexible licensing options tailored to your needs. Upgrade your license anytime to access more features, or opt for a lifetime license for ongoing value, including lifetime updates and lifetime support. Our hassle-free upgrade process ensures that our platform can grow with you, starting from whichever plan you choose.
…or get the Bundle Deal
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The Bundle (unlimited sites)
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What’s included
SleekAI
SleekByte
SleekMotion
SleekPixel
SleekView
SleekRank
SleekTrack