Ultimate Blocks ships 36 blocks aimed at bloggers and content marketers: Review (with schema markup), How-To Schema, Table of Contents, Content Toggle (accordion), Tabbed Content, Styled Box, Styled List, Expand, Testimonial, Star Rating, Countdown, Progress Bar, Post Grid, and more. They serialise into wp_posts.post_content as wp:ub/* markup that resolves to real HTML and JSON-LD at render time. SleekAI reads the rendered page, so a Review block becomes a structured product record with rating, features, and verdict.

Because Ultimate Blocks emits schema-rich output (Review, How-To, FAQ schema in Content Toggle, Star Rating), the bot effectively reads the same structured data Google ingests. The wizard also pulls ACF fields, custom taxonomies, and any postmeta referenced from a block, so a review post that stores affiliate links in ACF can recommend the right link from the chatbot.

Display conditions scope different bots by post type, taxonomy term, user role, or URL pattern. Conversations log inside WordPress with the model name, token usage, and page URL. The JS API and PHP embed open the bot from a custom Button or a Click-to-X block, with the current article already loaded as context.

Affiliate and review blogs live or die on trust. Readers want a quick, honest answer about whether a product is worth it for their specific use case, and they want it without scrolling through 3,000 words. A generic chatbot makes that worse by hallucinating ratings, inventing pros, and recommending products the article doesn't cover.

SleekAI reads the rendered Ultimate Blocks output, so the bot quotes the Review block's actual rating, lifts the How-To Schema steps verbatim, and answers FAQ entries from the Content Toggle exactly as the article wrote them. Because the read happens at request time, updating a star rating or rewriting a step shows up in the next answer without retraining. Multibot mode lets a reviews bot, a how-to bot, and a listicle bot share the install with separate prompts and scopes.

Conversation logging surfaces which products or steps drive the most questions, so you can either rewrite a confusing section or tighten the prompt. The result is a chatbot that respects the editorial work in each post rather than competing with it.