✨ New Plugin Alert ✨ SleekRank is now available with €50 launch discount
✨ New Plugin Alert ✨ SleekRank is now available with €50 launch discount
✨ New Plugin Alert ✨ SleekRank is now available with €50 launch discount
✨ New Plugin Alert ✨ SleekRank is now available with €50 launch discount
✨ New Plugin Alert ✨ SleekRank is now available with €50 launch discount
✨ New Plugin Alert ✨ SleekRank is now available with €50 launch discount
✨ New Plugin Alert ✨ SleekRank is now available with €50 launch discount
✨ New Plugin Alert ✨ SleekRank is now available with €50 launch discount
✨ New Plugin Alert ✨ SleekRank is now available with €50 launch discount
✨ New Plugin Alert ✨ SleekRank is now available with €50 launch discount

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.

♾️ Lifetime License available

SleekAI chatbot for Stackable

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

1

Point at the rendered page

The default data source is the current page's HTML, so every Stackable block already on the page (Pricing Box, Feature Grid, Accordion, Posts) lands in the prompt with zero per-block configuration.
2

Map fields that matter

For pages with custom data, point the wizard at ACF fields, custom taxonomies, or specific wp:stackable/* blocks by attribute. The bot then references those by name in its answers.
3

Scope with display conditions

Pick post type, taxonomy term, user role, or URL pattern. A pricing-page bot reads Pricing Box blocks, a docs bot reads Tabs and TOC blocks. Multibot runs them on the same install with separate prompts.
4

Ship with your own AI key

Paste an OpenAI, Anthropic, Google, or OpenRouter key. Pick the model per bot, set rate limits, and turn on the guideline filter for public bots. Conversation logs land in WordPress for review.

Try it now

Try it on a Stackable feature page

Visitor on a feature page built with a Stackable Feature Grid and Accordion FAQ block. The bot reads both into its context.

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

  • 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

More than 1000+
happy customers

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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  • 1 year of updates
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