Ice Dam Removal Services: an AI chatbot grounded in your own pages
Give visitors a chatbot that knows your published content. SleekAI puts the posts, pages and fields you pick into its context and runs on your own OpenAI, Anthropic, Google, or OpenRouter key.
A chatbot that knows your site
Visitors ask the same questions again and again: what you offer, what it costs, when you are open and what to do next. SleekAI answers them from the pages, posts and custom fields you already publish: map that content into the chatbot’s instruction and it resolves on every request, so an updated price shows up in the next answer.
You write the instruction: what the bot covers, what it should leave to a person, and which page it should link for booking or contact. SleekAI wraps every instruction in fixed guidelines that tell the bot to stay in its role.
Features
Your model, your key
Use OpenAI, Anthropic, Google, OpenRouter or a compatible endpoint with your own API key. The provider bills you directly.
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.
Common uses
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 it works
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 matters
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.
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.
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.
Related pages
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)
Pay once, own it forever
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What’s included
SleekAI
SleekByte
SleekMotion
SleekPixel
SleekView
SleekRank
SleekTrack