An AI chatbot for WP Mail Logging sites
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 WP Mail Logging 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 WP Mail Logging 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
Ready for cached pages
A chatbot can render in public context, so cached pages serve the same widget to every visitor, signed in or not.
Several bots, one site
Run several chatbots on one site, even on one page, each with its own instruction, data and display conditions.
Answers from your data
Map post titles, content, post meta, taxonomies or a WP_Query into the instruction, and the bot answers from what your site actually publishes.
Common uses
Learn from real questions
Read the logs to see what visitors actually ask, then improve the page that should have answered it.
Staff-only assistant
Show a separate bot only to logged-in staff roles, with an instruction and data written for internal questions.
Repeat questions
Answer the questions visitors ask every day from the pages and posts where you already answer them.
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 grounded answers matter
A chatbot is only as useful as what it knows. Answering from the content you already publish keeps replies specific to your site, and running the bot inside WordPress means you choose the model, the provider and whether conversations are logged.
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 WP Mail Logging stores?
Anything WP Mail Logging 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.
Where does the chatbot get its answers?
From the WordPress data you map into its instruction: post titles and content, post meta, ACF and Meta Box fields, taxonomies, terms, users and user meta, or a WP_Query. Values resolve on every request, unless you sync them to an OpenAI vector store, which refreshes on its schedule.
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.
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.
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What’s included
SleekAI
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SleekPixel
SleekView
SleekRank
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