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An AI chatbot for FacetWP 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.

Grounded in what you publish

If FacetWP 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 FacetWP 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

Shown where it fits

Display conditions scope each chatbot by post type, taxonomy term, post template, user role or logged-in state.

Streamed replies

Answers stream in as the model writes them, with automatic polling when streaming is blocked.

Opt-in logs

Turn on logging per chatbot to keep visitor messages and replies in WordPress, and delete old logs after a retention period.

Where it helps

Inline help

Embed the chat inline with the shortcode on one page, such as a guide or a comparison, next to the floating widget elsewhere.

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.

From install to first answer

1

Map your data

Choose the posts, fields, taxonomies or users the bot should know and reference them in the instruction.

2

Set display conditions

Decide which pages, post types, roles or logged-in states show the chatbot.

3

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.

4

Review and refine

Turn on logs, read what visitors ask and tighten the instruction or the page behind it.

Why grounded answers matter

Visitors who get a specific answer stay on the page; a vague or invented one sends them away. Grounding the chatbot in your own posts and fields, and telling it where to send people next, keeps answers useful.

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 FacetWP stores?

Anything FacetWP 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.

How do I keep the bot on topic?

Write what it should and should not cover in its instruction. SleekAI also wraps every instruction in fixed guidelines that tell the bot to stay in its role and not to reveal the instruction.

Which AI providers does it support?

OpenAI, Anthropic, Google and OpenRouter, plus custom OpenAI-compatible endpoints. You bring your own API key and the provider bills you directly.

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.

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.

Starter

€79per year
  • 3 websites
  • 1 year of updates
  • 1 year of support

Pro

€149per year
  • Unlimited websites
  • 1 year of updates
  • 1 year of support

Lifetime

Popular
€249once
  • Unlimited websites
  • Lifetime updates
  • Lifetime support

…or get the Bundle Deal
and save €250

The Bundle (unlimited sites)

Pay once, own it forever

Elevate your WordPress site with our exclusive plugin bundle that includes all of our premium plugins in one package. Enjoy lifetime updates and lifetime support. Save significantly compared to buying plugins individually.

What’s included

SleekAI

SleekByte

SleekMotion

SleekPixel

SleekView

SleekRank

SleekTrack

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