An AI chatbot with guardrails that keep it on-topic and on-brand
SleekAI adds an AI chatbot for Chatbot With Guardrails to your WordPress site. It answers from the content you choose, such as posts, pages, custom post types, post meta, taxonomies and user data, with your own OpenAI, Anthropic, Google, or OpenRouter key.
Why a chatbot needs explicit boundaries
A general-purpose LLM will happily discuss anything if a visitor asks. That’s a feature for a personal assistant and a liability for a customer-facing bot. Your product Q&A bot should describe products, not opine on geopolitics. Without explicit guardrails, every chatbot conversation is one creative prompt away from a screenshot that ends up on a competitor’s marketing deck.
A visitor asking a tangentially related question gets a helpful answer that steers back to the topic. A visitor asking something clearly off-topic gets a polite decline with a redirect to the right resource. A visitor trying obvious jailbreaks gets a refusal that doesn’t break character.
Generic SaaS chatbots either ship one rigid refusal mode or none at all. SleekAI lets each chatbot define its own guardrails so a support bot, a sales bot, and a docs bot on the same site can each hold their own behavior policy.
Features
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.
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.
How teams use chatbot guardrails
Brand-safe support
Customer support bots stay focused on orders, returns, shipping, and products. They politely decline tangents that could embarrass the brand on a screenshot. Refusal text reads like the support team wrote it, not like a corporate liability shield.
Educational bots that stay on syllabus
Course or training site bots only answer questions tied to the curriculum.
Regulated industries
Health, finance, and legal sites use guardrails to prevent the bot from giving advice it shouldn’t.
How guardrails keep the bot on-topic
Define topic boundaries
List the topics the bot covers and the topics it must refuse. Per-bot config means a support bot and a sales bot on the same site can have entirely different boundaries.
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.
Log and tune
Reviewing the log catches false positives where a legitimate question was refused. Tuning the rules over a few weeks produces a guardrail layer that fits your audience without feeling rigid.
Why guardrails are a brand-safety necessity
Public-facing chatbots are one creative prompt away from saying something embarrassing. The internet runs on screenshots, and screenshots of chatbots saying weird things are reliably viral. Operational benefits stack on top. Refusal-aware bots stop burning tokens on conversations that have nothing to do with your business.
Support teams see less noise in the logs because the bot isn’t generating long transcripts about whatever the visitor was procrastinating from doing. Audience trust is the third leg. When visitors see the bot politely steer back to its actual job, they trust it more on the questions it is supposed to handle.
A bot that tries to answer everything looks unreliable. A bot that knows its scope and stays inside it looks confident and useful. The per-bot configuration matters because one-size guardrails fail on multi-bot sites.
Your sales bot has different boundaries than your support bot, which has different boundaries than your docs bot. SleekAI lets each one hold its own policy without any of them leaking into the others, which is the only way to run multiple AI voices on one brand without compromising any of them.
Frequently asked questions
Can I customize the refusal wording per bot?
Yes. Many bots maintain two templates: a short, warm refusal for tangentially related questions and a firmer refusal for clearly off-topic or jailbreak attempts.
Can I run two bots on the same site with different guardrails?
Yes. A support bot can have strict guardrails while a presale sales bot has lighter ones, and the two run on the same site without interfering with each other’s policies.
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.
Can it act on a visitor’s behalf?
No. A chatbot answers questions.
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.
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The Bundle (unlimited sites)
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What’s included
SleekAI
SleekByte
SleekMotion
SleekPixel
SleekView
SleekRank
SleekTrack