Stackable stores its blocks inside wp_posts.post_content as standard block markup with structured attributes for headings, cards, accordions, pricing boxes, and icon lists. SleekAI reads the rendered page output at request time, so accordion question and answer pairs, pricing plan tables, and feature-card text all become real strings the model can reason over. There is no separate sync layer and no parallel FAQ document to maintain.

Display conditions scope each chatbot by post type, taxonomy term, user role, logged-in state, and URL pattern, so a pricing-page bot and a documentation bot can run on the same site under multibot. Each bot has its own system message, data sources, and presets, and the SleekAI Wizard maps any post meta or ACF fields that Stackable's dynamic content blocks reference into named variables the prompt can use.

Every conversation is stored inside WordPress with model name, token usage, and page URL, so you can see which blocks visitors ask about most and tighten either the system prompt or the underlying block copy. The JS API and PHP embed let you trigger the bot from a Stackable button block or a custom CTA without rebuilding the page.

Stackable's value is that designers and marketers can ship a landing page Tuesday and revise it Thursday based on conversion data. A chatbot that does not read the live blocks breaks that loop. Every change to a pricing box or an accordion entry forces a parallel update to a separate training set, and within weeks the bot is answering from copy that no longer exists on the site.

The mismatch is worse than no chatbot at all because visitors get confidently wrong answers about prices that have changed and features that have been renamed. Grounding the bot in the rendered Stackable page means the marketing team's source of truth is also the chatbot's source of truth. The page is canonical.

Republish in the block editor and the next conversation reflects the new copy. Combine that with display conditions per template and per role, and the chat layer becomes part of the site rather than bolted on top. The compounding effect is that the bot turns into a viable answer-of-record for high-traffic landing pages, pricing, and comparison templates where the cost of a wrong answer is high.

Pre-sales questions get answered in real time, the FAQ accordion stops being a parallel document to maintain, and the team writes block copy with the confidence that it will be read by both visitors and the assistant.