AI chatbot for Stackable: page-aware chat for Gutenberg
SleekAI reads the rendered Stackable blocks (Pricing Box, Accordion, Feature Grid, Posts, Tabs) from the current page and answers visitor questions grounded in the layout in front of them. Bring your own OpenAI, Anthropic, Google, or OpenRouter key.
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A chatbot that reads your Stackable layout
Stackable serialises its blocks into wp_posts.post_content with the prefix wp:stackable/*. Pricing Box, Accordion, Feature Grid, Posts, Tabs, Image Box, Call to Action, and a few dozen others all resolve to real HTML at render time. SleekAI reads the rendered page, so a Pricing Box becomes a list of plans with prices, an Accordion becomes Q&A pairs, and a Posts block becomes a small index, all of which land in the chatbot's context.
The data-source wizard pulls ACF fields, custom taxonomies, and any postmeta referenced by a Stackable block, so a feature page that mixes a Stackable Feature Grid with an ACF custom field block can answer questions using both. Display conditions scope different bots by post type, taxonomy term, user role, or URL pattern, so a pricing-page bot and a docs-page bot can run side-by-side under multibot without code.
Stackable's global design system means the same block can render differently across sections; SleekAI reads the post-render HTML, so the bot sees what the visitor sees, not the abstract block config. Conversations log in WordPress with the model name, token usage, and the page URL. The JS API and PHP embed open the bot from a custom Stackable Button or Icon block click, with the current page already loaded as context.
Workflow
How SleekAI talks to Stackable
Point at the rendered page
Map fields that matter
wp:stackable/* blocks by attribute. The bot then references those by name in its answers.
Scope with display conditions
Ship with your own AI key
Try it now
Try it on a Stackable feature page
Comparison
Generic chatbot vs SleekAI for Stackable
Generic chatbot
- Doesn't know what's actually on the current Stackable page
- Can't read Pricing Box, Feature Grid, Accordion, or Tabs content
- Hallucinates features and integrations the page doesn't list
- No awareness of post type or layout the visitor is on
- Requires retraining when the global design changes a section
SleekAI chatbot
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Reads
wp:stackable/*block markup from rendered HTML - Pulls Pricing Box, Accordion, Feature Grid, Posts into context
- Sees the current page's post type and taxonomy context
- Run a different chatbot per template or product (multibot)
- Logs every conversation with model, tokens, and page URL
Features
What SleekAI gives you for Stackable
Layout-aware answers
Pricing Box, Feature Grid, Accordion, Tabs, and Posts blocks all flow into the prompt as structured data, so the bot quotes plan details and feature lists using the exact values the visitor is reading.
Survives design changes
Stackable's global design system can reskin entire sections without changing the content. Because SleekAI reads rendered HTML, design tweaks don't affect what the bot knows or how accurately it answers.
Conditional deployment
Combine post type, taxonomy term, user role, and URL rules to run different bots on pricing, docs, and product pages, each scoped to the Stackable blocks that matter for that audience.
Use cases
Where Stackable sites use SleekAI
Pricing-page sales
Answer plan comparison and trial questions inline. The bot reads the Pricing Box and Accordion blocks so the numbers and the refund policy are always the ones currently published.
Feature page navigation
On a long feature page built with Feature Grid and Tabs, the bot can answer specific feature questions and point to the right tab or grid card without returning the whole page.
Blog and docs concierge
On posts using Stackable Posts and Table of Contents blocks, the bot can navigate the visitor to the right article or section instead of dumping search results on them.
The bigger picture
Why this matters for Stackable sites
Stackable shines on sites that need consistent design across many pages: SaaS marketing, agency portfolios, multi-page product launches. The global design system keeps everything coherent, and the Pricing Box, Feature Grid, and Accordion blocks pack a lot of structured information into a single layout. A generic chatbot ignores all of that and answers from training data, which means hallucinated features, fake plan names, and prices that don't match the page.
SleekAI reads the rendered Stackable output, so the bot quotes the Pricing Box exactly, lifts FAQ entries from the Accordion, and references features from the Feature Grid by name. Because the read happens at request time, design changes that reskin sections without touching content don't affect what the bot knows. Multibot mode lets a pricing bot, a docs bot, and a contact bot share the install with separate prompts and scopes.
Conversation logging surfaces which blocks visitors find confusing, so you can either tighten the prompt or restructure the page. The net effect is a chatbot that stays accurate even when the site's design evolves rapidly.
Questions
Common questions about SleekAI for Stackable
Yes. SleekAI reads the rendered HTML of the current page, which means Stackable's Pricing Box, Feature Grid, Accordion, Tabs, and Posts blocks all land in context. You can also map specific wp:stackable/* blocks by their attributes if you want finer control.
You need an account with at least one supported provider: OpenAI, Anthropic, Google, or OpenRouter. Usage and billing stay on your provider account. A common setup is a cheap fast model for feature lookups and a stronger one for plan comparisons or refunds.
 Yes. Multibot mode runs several chatbots on one site, each with its own system prompt, data sources, and display conditions. A pricing-page bot, a docs-page bot, and a contact-page bot can all coexist on the same install with their own Stackable scope.
 Yes. The global design system applies styles, not content. SleekAI reads the rendered HTML for content, so reskinning a section, changing typography globally, or swapping a layout preset doesn't affect what the bot knows.
 Posts block output renders as a list of post cards with title, excerpt, and meta. The bot can use that as a small in-page index, suggesting which linked article best matches a visitor question and offering to summarize it inline.
 Yes. Stackable Accordion items resolve to title/text pairs in the rendered HTML. The bot lifts those as grounded Q&A entries, so FAQ-style questions get answered from the page itself rather than from a generic policy guess.
 Saved blocks (reusable patterns) resolve into normal block markup at render time, so the bot reads them like any other Stackable block. You don't need a separate mapping for each saved block.
 Yes. Conversation logging is per chatbot, with user messages, assistant replies, model name, token usage, and page URL stored in WordPress. Use it to spot which blocks confuse visitors and adjust the layout or the prompt.
 Pricing
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