Sucuri runs a cloud Web Application Firewall in front of WordPress, plus a malware scanner and a hardening plugin inside the site. When the firewall blocks a request, the visitor sees a Sucuri-branded denial page that explains what was blocked, often with a unique identifier, but not why your specific site has the policy it does. SleekAI runs as a separate WordPress plugin and gives visitors a place to ask follow-up questions, with answers grounded in your published help and security policy rather than an open-web guess.

The SleekAI Wizard maps your support pages, knowledge-base articles, and security policy from any WordPress post type or ACF field into the chatbot's system message. The bot can explain in plain language why the firewall blocks certain country IPs, what to do about a CAPTCHA, how the site's SSL cert is configured, and where to request a manual review. Sensitive operational details stay inside Sucuri.

Display conditions scope different bots to different parts of the site, so a public help bot can explain firewall behavior to visitors while a logged-in members bot can answer account questions against the user's own profile. Every conversation is logged with model name, token usage, and page URL, so the security operator can see which Sucuri behaviors generate the most confusion.

Sucuri sits in front of WordPress as a cloud proxy, which means the first thing some visitors see when something goes wrong is not the brand's design, it is a denial page with a request ID and no obvious next step. That is fine for blocking automated traffic, which is the whole point, but it is hostile to a real customer who happened to hit a rule edge. Most of those customers go silent rather than emailing support, and the team loses both the sale and the data about which rule misfired.

A help-focused chatbot bridges that gap without weakening the firewall, as long as the bot stays grounded in the published policy rather than improvising. SleekAI never reads WAF rules, never surfaces scan results, and never tries to override a block. It reads the help pages the team has already written, and it answers in their voice.

If a visitor needs a manual review, the bot points to the documented contact path with the expected response time. If a visitor is hitting an SSL warning, the bot walks through the documented troubleshooting steps and escalates to support when those steps run out. The compounding effect is twofold.

The support inbox stops drowning in repeat questions about the same denial page, and the operator gets a steady stream of conversation logs that show which firewall behaviors confuse real visitors. That feeds back into policy wording, help-article structure, and sometimes a small WAF tweak that turns a high-friction false positive into a clean pass.